Prof. Dr. Andreas Maier

Our research interests focuses on medical imaging, image and audio processing, digital humanities, and interpretable machine learning and the use of known operators.

Research projects

Image Analysis and Fusion
Learning Algorithms for Medical Big Data Analysis (LAMBDA)
Magnetic Resonance Imaging (MRI)
Speech Processing and Understanding
Development of a guideline for the three-dimensional non-destructive acquisition of manuscripts
Intelligent MR Diagnosis of the Liver by Linking Model and Data-driven Processes (iDELIVER)
Molecular Assessment of Signatures ChAracterizing the Remission of Arthritis
Improved dual energy imaging using machine learning

A multimodal approach for automatic generation of radiology reports using chest X-ray images, clinical free-text, and spoken commands.

(FAU Funds)

Term: 15. January 2024 - 14. January 2025

Abstract

Advancements in Artificial Intelligence (AI) methods have enabled thedevelopment of Large Language Models (LLMs) capable of generating informationfrom user instructions and supporting various tasks in education, research,healthcare, and others. AI has also impacted the field of medical imaging withseveral deep learning models capable of achieving expert-level performanceacross different tasks, e.g., detection, segmentation, and assisted clinicaldiagnosis. In addition, open-source Automatic Speech Recognition (ASR) systemscan be incorporated as modules in AI-based systems. This proposed fundedproject aims to combine LLMs, medical imaging, and speech recognition using AImethods to generate high-quality radiology reports from chest X-ray images.

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Self-Supervised Learning on Chest X-Rays to improve classification and localization

(Non-FAU Project)

Term: 1. March 2023 - 1. March 2026

Abstract

Chest X-Rays (CXR) serve as crucial diagnostic tools for pulmonary and cardiothoracic diseases, generating millions of images daily, a number on the rise due to decreasing acquisition costs. However, there's a pronounced scarcity of radiologists to interpret these images. Traditionally, CXR research has centered on enhancing classification accuracy, often achieving state-of-the-art results. Despite progress, there remain rare and intricate findings challenging for both human radiologists and AI systems to diagnose. Our investigation focuses on leveraging self-supervised image-text models to enhance the classification and localization of diverse findings. These self-supervised models eliminate the need for annotations, enabling the Deep Learning system to effectively learn from extensive public and private datasets.

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2025

Bhandary Panambur, A., Bhat, S., Yu, H., Madhu, P., Bayer, S., & Maier, A. (2025). Attention-Guided Erasing for Enhanced Transfer Learning in Breast Abnormality Classification. (Unpublished, Submitted).
Wilm, F., Ammeling, J., Öttl, M., Fick, R.H.J., Aubreville, M., & Breininger, K. (2025). Rethinking U-net Skip Connections for Biomedical Image Segmentation. (Unpublished, Submitted).

2024

Barnhill, A., Nöth, E., Maier, A., & Bergler, C. (2024). ANIMAL-CLEAN – A Deep Denoising Toolkit for Animal-Independent Signal Enhancement. In Proceedings of the Annual Conference of the International Speech Communication Association. Kos, Greece, GR.
Bhandary Panambur, A., Yu, H., Bhat, S., Madhu, P., Bayer, S., & Maier, A. (2024). Attention-guided Erasing. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2024 (pp. 13-18). Erlangen, DE: Wiesbaden: Springer Vieweg.
Denzinger, S., Goldmann, F., Wels, M., Schöbinger, M., Neumann, D., Allmendinger, T.,... Maier, A. (2024). Photon Counting-Based Metrics for Soft Tissue Differentiation in Coronary Plaque Analysis. In 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) (pp. 1-1). Tampa, US.
Fan, F., Qiu, J., Huang, Y., & Maier, A. (2024). Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion. In Proceedings of the The 8th International Conference on Image Formation in X-Ray Computed Tomography (pp. 94-97). Bamberg, Germany.
Gallo-Aristizábal, J.D., Escobar-Grisales, D., Ríos-Urrego, C.D., Nöth, E., & Orozco-Arroyave, J.R. (2024). Automatic Classification of Parkinson’s Disease Using Wav2vec Embeddings at Phoneme, Syllable, and Word Levels. In Elmar Nöth, Aleš Horák, Petr Sojka (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 313-323). Brno, CZE: Springer Science and Business Media Deutschland GmbH.
Gomaa, A., Huang, Y., Hagag, A., Schmitter, C., Höfler, D., Weissmann, T.,... Putz, F. (2024). Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma. Neuro-Oncology Advances. https://doi.org/10.1093/noajnl/vdae122
Hernandez, A., Perez Toro, P.A., Arias-Vergara, T., Vasquez-Correa, J.C., Yang, S.H., Orozco-Arroyave, J.R., & Maier, A. (2024). Anonymizing Dysarthric Speech: Investigating the Effects of Voice Conversion on Pathological Information Preservation. In Elmar Nöth, Aleš Horák, Petr Sojka (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 149-160). Brno, CZE: Springer Science and Business Media Deutschland GmbH.
Huang, Y., Bert, C., Gomaa, A., Fietkau, R., Maier, A., & Putz, F. (2024). An Experimental Survey of Incremental Transfer Learning for Multicenter Collaboration. IEEE Access, 1-16. https://doi.org/10.1109/ACCESS.2024.3431885
Huang, Y., Fan, F., Gomaa, A., Maier, A., Fietkau, R., Bert, C., & Putz, F. (2024). Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data. In Proceedings of the The 8th International Conference on Image Formation in X-Ray Computed Tomography (pp. 78-81). Bamberg, Germany.
Huang, Y., Gomaa, A., Höfler, D., Schubert, P., Gaipl, U., Frey, B.,... Putz, F. (2024). Principles of artificial intelligence in radiooncology. Strahlentherapie und Onkologie, 1-30. https://doi.org/10.1007/s00066-024-02272-0
Huang, Y., Khodabakhshi, Z., Gomaa, A., Schmidt, M., Fietkau, R., Guckenberger, M.,... Putz, F. (2024). Multicenter privacy-preserving model training for deep learning brain metastases autosegmentation. Radiotherapy and Oncology, 1-10. https://doi.org/10.1016/j.radonc.2024.110410
Huijben, E.M., Terpstra, M.L., Galapon, A.J., Pai, S., Thummerer, A., Koopmans, P.,... Maspero, M. (2024). Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Medical Image Analysis, 97. https://doi.org/10.1016/j.media.2024.103276
Husvogt, L., Yaghy, A., Camacho, A., Lam, K., Schottenhamml, J., Ploner, S.,... Maier, A. (2024). Ensembling U-Nets for microaneurysm segmentation in optical coherence tomography angiography in patients with diabetic retinopathy. Scientific Reports, 14. https://doi.org/10.1038/s41598-024-72375-2
Islam, S., Murthy, V.N., Neumann, D., Das, B.K., Sharma, P., Maier, A.,... Ghesu, F.C. (2024). Self-supervised learning for interventional image analytics: toward robust device trackers. Journal of Medical Imaging, 11(3). https://doi.org/10.1117/1.JMI.11.3.035001
Kapsner, L., Folle, L., Hadler, D., Eberle, J., Balbach, E., Liebert, A.,... Bickelhaupt, S. (2024). Lesion-conditioning of synthetic MRI-derived subtraction-MIPs of the breast using a latent diffusion model. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-56853-1
Khun Jush, F., Dueppenbecker, P.M., & Maier, A. (2024). Speed-of-Sound Mapping for Pulse-Echo Ultrasound Raw Data Using Linked-Autoencoders. In Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 103-114). Honolulu, HI, USA: Springer Science and Business Media Deutschland GmbH.
Liu, C., Klein, L., Huang, Y., Baader, E., Lell, M.M., Kachelrieß, M., & Maier, A. (2024). Two-view topogram-based anatomy-guided CT reconstruction for prospective risk minimization. Scientific Reports, 14, 1-11. https://doi.org/10.1038/s41598-024-59731-y
Lopez-Santander, D.A., David Rios-Urrego, C., Bergler, C., Nöth, E., & Orozco-Arroyave, J.R. (2024). Robust Classification of Parkinson’s Speech: an Approximation to a Scenario With Non-controlled Acoustic Conditions. In Elmar Nöth, Aleš Horák, Petr Sojka (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 252-262). Brno, CZE: Springer Science and Business Media Deutschland GmbH.
Perez Toro, P.A., Dineley, J., Kaczkowska, A., Conde, P., Zhang, Y., Matcham, F.,... Cummins, N. (2024). LONGITUDINAL MODELING OF DEPRESSION SHIFTS USING SPEECH AND LANGUAGE. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 12021-12025). Seoul, KOR: Institute of Electrical and Electronics Engineers Inc..
Putz, F., Haderlein, M., Lettmaier, S., Semrau, S., Fietkau, R., & Huang, Y. (2024). Exploring the Capabilities and Limitations of Large Language Models for Radiation Oncology Decision Support. International Journal of Radiation Oncology Biology Physics, 118(4), 900-904. https://doi.org/10.1016/j.ijrobp.2023.11.062
Ramachandran, A., Neergaard, T.F., Maier, A., & Bayer, S. (2024). Advancing Heat Demand Forecasting with Attention Mechanisms: Opportunities and Challenges. In Advancing Heat Demand Forecasting with Attention Mechanisms: Opportunities and Challenges. Vancouver, Canada, CA.
Rist, L., Homm, C., Lades, F., Hernandez, A.A., Sühling, M., Gudman Steuble Brandt, E.,... Taubmann, O. (2024). Pancreatic Vessel Landmark Detection in CT Angiography Using Prior Anatomical Knowledge. In Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine (pp. 45-54). Marrakesh, MA: Cham: Springer.
Schlereth, M., Yalcin-Mutlu, M., Utz, J., Bayat, S., Heimann, T., Qiu, J.,... Fagni, F. (2024). Deep learning-based classification of erosion, synovitis and osteitis in hand MRI of patients with inflammatory arthritis. RMD Open, 10(2). https://doi.org/10.1136/rmdopen-2024-004273
Sun, Y., Schneider, L.-S., Fan, F., Thies, M., Gu, M., Mei, S.,... Maier, A. (2024). Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series. In Proceedings of the CT-Meeting. Bamberg, DE.
Tayebi Arasteh, S., Arias-Vergara, T., Perez Toro, P.A., Weise, T., Packhäuser, K., Schuster, M.,... Yang, S.H. (2024). Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech. Communications Medicine, 4(1). https://doi.org/10.1038/s43856-024-00609-5
Thies, M., Wagner, F., Gu, M., Mei, S., Huang, Y., Pechmann, S.,... Maier, A. (2024). Exploring Epipolar Consistency Conditions for Rigid Motion Compensation in In-vivo X-ray Microscopy. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2024. BVM 2024 (pp. 211-216). Erlangen, DE: Wiesbaden: Springer Vieweg.
Wang, Z., Yu, H., Huang, Y., Wang, S., Ni, S., Li, Z.,... Cui, J. (2024). BPF Algorithms for Multiple Source-Translation Computed Tomography Reconstruction. IEEE Transactions on Instrumentation and Measurement, 1-14. https://doi.org/10.1109/TIM.2024.3428633
Won, J., Takahashi, H., Ploner, S., Karbole, W., Abu-Qamar, O., Yaghy, A.,... Fujimoto, J.G. (2024). Topographic Measurement of the Subretinal Pigment Epithelium Space in Normal Aging and Age-Related Macular Degeneration Using High-Resolution OCT. Investigative Ophthalmology & Visual Science, 65(10). https://doi.org/10.1167/iovs.65.10.18
Ye, C., Schneider, L.-S., Sun, Y., & Maier, A. (2024). Deep Learning Computed Tomography based on the Defrise and Clack Algorithm. In Proceedings of the CT Meeting 2024. Bamberg, DE.
Yu, H., Liu, C., Thies, M., Wagner, F., Wang, A., Zhang, G.,... Maier, A. (2024). Reducing penumbral blur in computed tomography by learning the inverse finite focal spot model. Optics Express, 32(13), 23674-23686. https://doi.org/10.1364/OE.527304
Yu, H., Ni, S., Thies, M., Wagner, F., Huang, Y., Liu, F., & Maier, A. (2024). Multiple Source Translation Micro-CT Improves Both Field-of-View and Spatial Resolution. IEEE Transactions on Instrumentation and Measurement, 73, 1-11. https://doi.org/10.1109/TIM.2024.3385839

2023

Arias Vergara, T., Londoño-Mora, E., Perez Toro, P.A., Schuster, M., Nöth, E., Orozco Arroyave, J.R., & Maier, A. (2023). Measuring Phonological Precision in Children with Cleft Lip and Palate. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 4638-4642). Dublin, IE: International Speech Communication Association.
Bachmaier, M., Rohleder, M., Swartman, B., Privalov, M., Maier, A., & Kunze, H. (2023). Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images. In Hayit Greenspan, Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 446-455). Vancouver, BC, CAN: Springer Science and Business Media Deutschland GmbH.
Bayerl, S.P., Gerczuk, M., Batliner, A., Bergler, C., Amiriparian, S., Schuller, B.,... Riedhammer, K. (2023). Classification of stuttering – The ComParE challenge and beyond. Computer Speech and Language, 81. https://doi.org/10.1016/j.csl.2023.101519
Braun, F., Perez Toro, P.A., Bayerl, S.P., Pérez-Toro, P.A., Hönig, F., Lehfeld, H.,... Riedhammer, K. (2023). Classifying Dementia in the Presence of Depression: A Cross-Corpus Study. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 2308-2312). Dublin, IRL: International Speech Communication Association.
Camargo-Mendoza, M., Nöth, E., Mekyska, J., & Orozco-Arroyave, J.R. (2023). Oral-diadochokinesis rates for Spanish, German and Czech: reference values for normotypical adults Diadococinesia oral para el español, el alemán y el checo: valores de referencia para adultos normotípicos. Revista de Investigación en Logopedia, 13(2). https://doi.org/10.5209/rlog.85834
Escobar-Grisales, D., Arias-Vergara, T., Rios-Urrego, C.D., Nöth, E., García, A.M., & Orozco-Arroyave, J.R. (2023). An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson's Disease Patients. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 1703-1707). Dublin, IRL, IE: International Speech Communication Association.
Fan, F., Kreher, B.W., Keil, H., Maier, A., & Huang, Y. (2023, June). Abstract: Fiducial Marker Recovery and Detection From Severely Truncated Data in Navigation-Assisted Spine Surgery. Paper presentation at Bildverarbeitung für die Medizin 2023, Braunschweig, DE.
Fusco, A., Akkus, M., Vysotskaya, N., Hazra, S., Servadei, L., Maier, A., & Wille, R. (2023). RadarSleepNet: Sleep Pose Classification via PointNet++ and 5D Radar Point Clouds. In 2023 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON). Ahmedabad, IN: New York City: IEEE.
Gallo-Aristizabal, J.D., Escobar-Grisales, D., Rios-Urrego, C.D., Perez Toro, P.A., Nöth, E., Maier, A., & Orozco Arroyave, J.R. (2023). Assessment of Handwriting in Patients With Parkinson's Disease Using Non-Intrusive Tasks. In Proceedings - International Symposium on Biomedical Imaging. Cartagena, COL: IEEE Computer Society.
Gu, M., Thies, M., Wagner, F., Pechmann, S., Aust, O., Weidner, D.,... Maier, A. (2023). Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 254-259). Braunschweig, DEU: Springer Science and Business Media Deutschland GmbH.
Hauer, C., Nöth, E., Barnhill, A., Maier, A., Guthunz, J., Hofer, H.,... Bergler, C. (2023). ORCA-SPY enables killer whale sound source simulation, detection, classification and localization using an integrated deep learning-based segmentation. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-38132-7
Hauer, C., Nöth, E., Barnhill, A., Maier, A., Guthunz, J., Hofer, H.,... Bergler, C. (2023). ORCA-SPY: Killer Whale Sound Source Simulation and Detection, Classification and Localization in PAMGuard Utilizing Integrated Deep Learning Based Segmentation. Scientific Reports, UNDER REVIEW.
Hofmann, A., Lomakin, K., Kleinlein, M., Bader, T., Sippel, M., & Gold, G. (2023). SLS-Printed E-Band Waveguides and the Impact of Surface Roughness. Paper presentation at European Microwave Conference (EuMC), Berlin.
Hornegger, J. (2023). AI Makes Medicine More Efficient, Individual and Preventive. Springer Fachmedien Wiesbaden.
Huang, Y., Gomaa, A., Semrau, S., Haderlein, M., Lettmaier, S., Weissmann, T.,... Putz, F. (2023). Benchmarking ChatGPT-4 on a radiation oncology in-training exam and Red Journal Gray Zone cases: potentials and challenges for AI-assisted medical education and decision making in radiation oncology. Frontiers in Oncology, 13, 1-13. https://doi.org/10.3389/fonc.2023.1265024
Huang, Y., Maier, A., Fan, F., Kreher, B.W., Huang, X., Fietkau, R.,... Putz, F. (2023). Deep learning for perspective deformation correction in X-ray imaging. Radiotherapy and Oncology, 182(Supplement 1), S1404. https://doi.org/10.1016/S0167-8140(23)66608-3
Hung, H., Perez Toro, P.A., Arias Vergara, T., Maier, A., & Nöth, E. (2023). Speaking Clearly, Understanding Better: Predicting the L2 Narrative Comprehension of Chinese Bilingual Kindergarten Children Based on Speech Intelligibility Using a Machine Learning Approach. In Interspeech 2023 (pp. 4623-4627). Dublin, IE: International Speech Communication Association.
Kordon, F., Stiglmayr, M., Maier, A., Martín Vicario, C., Pertlwieser, T., & Kunze, H. (2023). A principled representation of elongated structures using heatmaps. Scientific Reports, 13. https://doi.org/10.1038/s41598-023-41221-2
Liebert, A., Das, B.K., Kapsner, L., Eberle, J., Skwierawska, D., Folle, L.,... Bickelhaupt, S. (2023). Smart forecasting of artifacts in contrast-enhanced breast MRI before contrast agent administration. European Radiology. https://doi.org/10.1007/s00330-023-10469-7
Maul, N., Zinn, K., Wagner, F., Thies, M., Rohleder, M., Pfaff, L.,... Maier, A. (2023). Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model. In Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 183-194). San Carlos de Bariloche, AR: Springer Science and Business Media Deutschland GmbH.
Mühlberg, A., Ritter, P., Langer, S., Goossens, C., Nübler, S., Schneidereit, D.,... Kreiß, L. (2023). SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for Prior-Informed Assessment of Muscle Function and Pathology. Advanced Science. https://doi.org/10.1002/advs.202206319
Nguyen, T.-T., Folle, L., Bayer, T., & Maier, A. (2023). Detection of Arterial Occlusion on Magnetic Resonance Angiography of the Thigh using Deep Learning. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 273-278). Braunschweig, DE: Springer Science and Business Media Deutschland GmbH.
Perez Toro, P.A., Arias Vergara, T., Braun, F., Hönig, F., Tobón-Quintero, C.A., Aguillón, D.,... Orozco Arroyave, J.R. (2023). Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 1748-1752). Dublin, IRL, IE: International Speech Communication Association.
Perez Toro, P.A., Rodriguez Salas, D., Arias Vergara, T., Bayerl, S.P., Klumpp, P., Riedhammer, K.T.,... Orozco Arroyave, J.R. (2023). Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer’s Disease Using Forestnets. In ICASSP 2023. Rhodes Island, GR.
Putz, F., Szkitsak, J., Grigo, J., Masitho, S., Weissmann, T., Frey, B.,... Huang, Y. (2023). Deep Learning-assisted delineation of brain metastases: a workflow focusing on AI-expert interaction. In ESTRO (Eds.), Radiotherapy and Oncology (pp. S1-S2121). Vienna, AT: ELSEVIER.
Rios-Urrego, C.D., Escobar-Grisales, D., Moreno-Acevedo, S.A., Perez Toro, P.A., Nöth, E., & Orozco Arroyave, J.R. (2023). Automatic Pronunciation Assessment of Non-native English Based on Phonological Analysis. Springer Science and Business Media Deutschland GmbH.
Rios-Urrego, C.D., Rusz, J., Nöth, E., & Orozco-Arroyave, J.R. (2023). Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 2368-2372). Dublin, IRL: International Speech Communication Association.
Roldan-Vasco, S., Orozco-Duque, A., & Orozco Arroyave, J.R. (2023). Swallowing disorders analysis using surface EMG biomarkers and classification models. Digital Signal Processing, 133. https://doi.org/10.1016/j.dsp.2022.103815
Roldan-Vasco, S., Restrepo-Uribe, J.P., Orozco-Duque, A., Suarez-Escudero, J.C., & Orozco Arroyave, J.R. (2023). Analysis of electrophysiological and mechanical dimensions of swallowing by non-invasive biosignals. Biomedical Signal Processing and Control, 82. https://doi.org/10.1016/j.bspc.2022.104533
Rüde, T., Lu, Y., Anschuetz, L., Blasius, M., Wolf, M., Preuster, P.,... Geißelbrecht, M. (2023). Performance of Continuous Hydrogen Production from Perhydro Benzyltoluene by Catalytic Distillation and Heat Integration Concepts with a Fuel Cell. Energy Technology. https://doi.org/10.1002/ente.202201366
Seeger, C. (2023). Obstacle Fusion and Scene Interpretation for Autonomous Driving with Occupancy Grids (Dissertation).
Stoll, A., Maier, A., Krauß, P., Gerum, R., & Schilling, A. (2023). Coincidence detection and integration behavior in spiking neural networks. Cognitive Neurodynamics. https://doi.org/10.1007/s11571-023-10038-0
Wagner, D., Baumann, I., Braun, F., Bayerl, S.P., Nöth, E., Riedhammer, K., & Bocklet, T. (2023). Multi-class Detection of Pathological Speech with Latent Features: How does it perform on unseen data? In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 2318-2322). Dublin, IRL: International Speech Communication Association.
Weise, T., Maier, A., Demir, K., Perez Toro, P.A., Arias Vergara, T., Heismann, B.,... Yang, S.H. (2023). Impact of Including Pathological Speech in Pre-training on Pathology Detection. In Kamil Ekštein, František Pártl, Miloslav Konopík (Eds.), Text, Speech, and Dialogue (pp. 141-153). Pilsen, CZ: Cham: Springer.
Weise, T., Maier, A., Demir, K., Perez Toro, P.A., Arias Vergara, T., Heismann, B.,... Yang, S.H. (2023). Impact of Including Pathological Speech in Pre-training on Pathology Detection. Springer Science and Business Media Deutschland GmbH.
Weise, T., Perez Toro, P.A., Deitermann, A., Hoffmann, B., Demir, K., Straetz, T.,... Yang, S.H. (2023). Multi-Modal Biomarker Extraction Framework for Therapy Monitoring of Social Anxiety and Depression Using Audio and Video. In Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle (Eds.), International Conference on Machine Learning (Workshop on Machine Learning for Multimodal Healthcare) (pp. 26-42). Hawaii Convention Center, 1801 Kalākaua Ave, Honolulu, HI 96815, United States, US: Cham: Springer.
Wilm, F., Fragoso, M., Bertram, C.A., Stathonikos, N., Öttl, M., Qiu, J.,... Aubreville, M. (2023). Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 206-211). Braunschweig, DE: Springer Science and Business Media Deutschland GmbH.
Wilm, F., Fragoso, M., Marzahl, C., Qiu, J., Puget, C., Diehl, L.,... Aubreville, M. (2023). Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 205-). Braunschweig, DE: Springer Science and Business Media Deutschland GmbH.
Wilm, F., Ihling, C., Méhes, G., Terracciano, L., Puget, C., Klopfleisch, R.,... Breininger, K. (2023). Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry. Journal of Pathology Informatics, 14. https://doi.org/10.1016/j.jpi.2023.100301
Zipse, O., Hornegger, J., Becker, T., Beckmann, M., Bengsch, M., Feige, I., & Schober, M. (Eds.) (2023). Road to Net Zero. Strategic Pathways for Sustainability-Driven Business Transformation. Cham: Springer.

2022

Arias Vergara, T. (2022). Analysis of Pathological Speech Signals. Erlangen, Bayern, Germany: Logos Verlag Berlin GmbH.
Arias-Vergara, T., Batliner, A., Rader, T., Polterauer, D., Högerle, C., Müller, J.,... Schuster, M. (2022). Adult Cochlear Implant Users Versus Typical Hearing Persons: An Automatic Analysis of Acoustic–Prosodic Parameters. Journal of Speech Language and Hearing Research, 65(12), 4623-4636. https://doi.org/10.1044/2022_JSLHR-21-00116
Batliner, A., Hantke, S., & Schuller, B. (2022). Ethics and Good Practice in Computational Paralinguistics. IEEE Transactions on Affective Computing, 13(3), 1236-1253. https://doi.org/10.1109/TAFFC.2020.3021015
Bayerl, S.P., Von Gudenberg, A.W., Hoenig, F., Nöth, E., & Riedhammer, K. (2022). KSoF: The Kassel State of Fluency Dataset - A Therapy Centered Dataset of Stuttering. In LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (pp. 1780-1787). Marseille, FR: PARIS: EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA.
Bayerl, S.P., Wagner, D., Nöth, E., Bocklet, T., & Riedhammer, K. (2022). The Influence of Dataset Partitioning on Dysfluency Detection Systems. In Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 423-436). Brno, CZ: Springer Science and Business Media Deutschland GmbH.
Bayerl, S.P., Wagner, D., Nöth, E., & Riedhammer, K. (2022). Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 2868-2872). Incheon, KR: International Speech Communication Association.
Bergler, C., Barnhill, A., Perrin, D., Schmitt, M., Maier, A., & Nöth, E. (2022). ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022. Incheon, Korea: International Speech Communication Association.
Bergler, C., Schmitt, M., Maier, A., Cheng, R.X., Barth, V., & Nöth, E. (2022). ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning. In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Singapore, SG: IEEE.
Bergler, C., Smeele, S.Q., Tyndel, S.A., Barnhill, A., Ortiz, S.T., Kalan, A.K.,... Klump, B.C. (2022). ANIMAL‐SPOT enables animal‐independent signal detection and classification using deep learning. Scientific Reports, 12(1), 1-16. https://doi.org/10.1038/s41598-022-26429-y
Carvajal-Castano, H.A., Perez Toro, P.A., & Orozco Arroyave, J.R. (2022). Classification of Parkinson's Disease Patients-A Deep Learning Strategy. Electronics, 11(17). https://doi.org/10.3390/electronics11172684
Chen, S., Zhong, X., Dorn, S., Ravikumar, N., Tao, Q., Huang, X.,... Maier, A. (2022). Improving Generalization Capability of Multiorgan Segmentation Models Using Dual-Energy CT. IEEE Transactions on Radiation and Plasma Medical Sciences, 6(1), 79-86. https://doi.org/10.1109/TRPMS.2021.3055199
Christlein, V., Marthot-Santaniello, I., Mayr, M., Nicolaou, A., & Seuret, M. (2022). Writer Retrieval and Writer Identification in Greek Papyri. In Springer (Eds.), Intertwining Graphonomics with Human Movements (pp. 76-89). Las Palmas de Gran Canaria, ES.
Denzinger, F., Wels, M., Taubmann, O., Gülsün, M.A., Schöbinger, M., Andre, F.,... Breininger, K. (2022). CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. In Proceedings of the Medical Imaging with Deep Learning. Zürich, CH.
Denzinger, F., Wels, M., Taubmann, O., Gülsün, M.A., Schöbinger, M., Andre, F.,... Breininger, K. (2022). CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. In PMLR (Eds.), PMLR (pp. 315-324). Zürich, CH.
Dutta, B., Root, K., Ullmann, I., Wagner, F., Mayr, M., Seuret, M.,... Huang, Y. (2022). Deep learning for terahertz image denoising in nondestructive historical document analysis. Scientific Reports, 12, 1-11. https://doi.org/10.1038/s41598-022-26957-7
El-Ghoussani, A., Rodriguez Salas, D., Seuret, M., & Maier, A. (2022). GAN-based Augmentation of Mammograms to Improve Breast Lesion Detection. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 321-326). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
Escobar-Grisales, D., Rios-Urrego, C.D., Gallo-Aristizabal, J.D., Lopez-Santander, D.A., Calvo-Ariza, N.R., Nöth, E., & Orozco-Arroyave, J.R. (2022). Colombian Dialect Recognition from Call-Center Conversations Using Fusion Strategies. In APPLIED COMPUTER SCIENCES IN ENGINEERING, WEA 2022 (pp. 54-65). Bogota, COLOMBIA: CHAM: SPRINGER INTERNATIONAL PUBLISHING AG.
Facco Rodrigues, V., Righi, R.R., Andre da Costa, C., Stoffel Antunes, R., Bazo, R., Reis, E.S.,... Eskofier, B. (2022). HealthStack: Providing an IoT Middleware for Malleable QoS Service Stacking for Hospital 4.0 Operating Rooms. IEEE Internet of Things. https://doi.org/10.1109/JIOT.2022.3160633
Fan, F., Kreher, B.W., Keil, H., Maier, A., & Huang, Y. (2022). Fiducial marker recovery and detection from severely truncated data in navigation assisted spine surgery. Medical Physics. https://doi.org/10.1002/mp.15617
Galaz, Z., Drotar, P., Mekyska, J., Gazda, M., Mucha, J., Zvoncak, V.,... Rektorova, I. (2022). Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. Frontiers in Neuroinformatics, 16. https://doi.org/10.3389/fninf.2022.877139
García, A.M., Escobar-Grisales, D., Vásquez Correa, J.C., Bocanegra, Y., Moreno, L., Carmona, J., & Orozco Arroyave, J.R. (2022). Detecting Parkinson’s disease and its cognitive phenotypes via automated semantic analyses of action stories. npj Parkinson’s Disease, 8(1). https://doi.org/10.1038/s41531-022-00422-8
Gu, M., Vesal, S., Kosti, R.V., & Maier, A. (2022). Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 20-25). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
Hernandez, A., Klumpp, P., Das, B.K., Maier, A., & Yang, S.H. (2022). Autoblog 2021: The Importance of Language Models for Spontaneous Lecture Speech. In Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (Eds.), Text, Speech, and Dialogue 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings (pp. 291-300). Brno, Czech Republic, CZ: Springer Nature Switzerland AG: Springer Cham.
Hernandez, A., Perez Toro, P.A., Nöth, E., Orozco Arroyave, J.R., Maier, A., & Yang, S.H. (2022). Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition. In Proceedings of Interspeech 2022 (pp. 51-55). Seoul, KR.
Hofmann, A., Klein, L., Lomakin, K., Sippel, M., & Gold, G. (2022). Additively Manufactured WR15 Waveguide to Microstrip Transition for Broadband V-Band Applications. In Proceedings of the European Microwave Conference (EuMC). Milan, Italy.
Hofmann, A., Lomakin, K., Sippel, M., & Gold, G. (2022). Additively Manufactured Broadwall Waveguide Couplers for V-Band Applications. In German Microwave Conference. Ulm.
Hofmann, A., Lomakin, K., Sippel, M., & Gold, G. (2022). Additively Manufactured Slotted Waveguides for THz Applications. In IEEE/MTT-S International Microwave Symposium (IMS). Denver, CO.
Horndasch, A. (2022). Using Contextual Information to Process Out-of-Vocabulary Words in Spoken Dialog Systems (Dissertation).
Hoßbach, J., Splitthoff, D.N., Cauley, S., Clifford, B., Polak, D., Lo, W.-C.,... Maier, A. (2022). Deep learning-based motion quantification from k-space for fast model-based magnetic resonance imaging motion correction. Medical Physics. https://dx.doi.org/10.1002/mp.16119
Huang, Y., Bert, C., Sommer, P., Frey, B., Gaipl, U., Distel, L.,... Putz, F. (2022). Deep learning for brain metastasis detection and segmentation in longitudinal MRI data. Medical Physics. https://doi.org/10.1002/mp.15863
Huang, Y., Bert, C., Sommer, P., Frey, B., Gaipl, U., Distel, L.,... Putz, F. (2022). Verbesserung der Deep Learning basierten Autodetektion von Hirnmetastasen durch Integration von MRT-Voraufnahmen. In Strahlentherapie und Onkologie (S. S6). Stuttgart, DE: Springer.
Huang, Y., Maier, A., Sommer, P., Fischer, S., Srinivasan, A.L., Fietkau, R.,... Putz, F. (2022). Deep Learning basierte Vorhersage von Gliomwachstum mittels Growing Neural Cellular Automata. In Strahlentherapie und Onkologie (S. S65). Stuttgart, DE: Springer.
Klumpp, P., Arias-Vergara, T., Perez-Toro, P.-A., Nöth, E., & Orozco-Arroyave, J.R. (2022). Common Phone: A Multilingual Dataset for Robust Acoustic Modelling. In LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (pp. 763-768). Marseille, FRANCE: PARIS: EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA.
Kordowich, G., Lorz, T., Jaworski, M., Klumpp, P., Perez Toro, P.A., Gaube, S.,... Jäger, J. (2022). Erdschlusserkennung basierend auf Künstlichen Neuronalen Netzen. In Proceedings of the 12. VDE ETG-/FNN-Tutorial Schutz- und Leittechnik. Berlin.
Kuhnert, N., & Maier, A. (2022). FlexParser—The adaptive log file parser for continuous results in a changing world. Journal of Software: Evolution and Process, 34(3), e2426. https://doi.org/10.1002/smr.2426
Löffler, C., Reeb, L., Dzibela, D., Marzilger, R., Witt, N., Eskofier, B., & Mutschler, C. (2022). Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories. ACM Transactions on Intelligent Systems and Technology, 13(1). https://doi.org/10.1145/3465057
Maksoud, Z., Schmidt, M., Huang, Y., Rutzner, S., Mansoorian, S., Weissmann, T.,... Putz, F. (2022). Transient Enlargement in Meningiomas Treated with Stereotactic Radiotherapy. Cancers, 14(Special Issue State-of-the-Art Research in Meningioma), 1-13. https://doi.org/10.3390/cancers14061547
Mattick, A., Mayr, M., Maier, A., & Christlein, V. (2022). Is Multitask Learning Always Better? In Seiichi Uchida, Elisa Barney, Véronique Eglin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 674-687). La Rochelle, FR: Springer Science and Business Media Deutschland GmbH.
Maul, N., Roser, P., Birkhold, A., Kowarschik, M., Zhong, X., Strobel, N., & Maier, A. (2022). Learning-based occupational x-ray scatter estimation. Physics in Medicine and Biology, 67(7). https://doi.org/10.1088/1361-6560/ac58dc
Mayr, M., Felker, A., Maier, A., & Christlein, V. (2022). Combining Visual and Linguistic Models for a Robust Recipient Line Recognition in Historical Documents. In Seiichi Uchida, Elisa Barney, Véronique Eglin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 598-612). La Rochelle, FRA: Springer Science and Business Media Deutschland GmbH.
Melsheimer, B., Jahn, A., Putnings, M., Valianos, S., & Walther, M. (2022). Towards a CRIS-integrated solution for University Press workflows. In Proceedings of the CRIS2022: 15th International Conference on Current Research Information Systems. Dubrovnik, HR.
Moreno-Acevedo, S.A., Escobar-Grisales, D., Vasquez-Correa, J.C., & Orozco Arroyave, J.R. (2022). Comparison of Named Entity Recognition Methods on Real-World and Highly Imbalanced Business Document Datasets. In APPLIED COMPUTER SCIENCES IN ENGINEERING, WEA 2022 (pp. 41-53). Bogota, CO: CHAM: SPRINGER INTERNATIONAL PUBLISHING AG.
Muneton-Santa, G., Escobar-Grisales, D., Orlando Lopez-Pabon, F., Perez Toro, P.A., & Orozco Arroyave, J.R. (2022). Classification of Poverty Condition Using Natural Language Processing. Social Indicators Research. https://doi.org/10.1007/s11205-022-02883-z
Perez Toro, P.A., Arias Vergara, T., Klumpp, P., Vásquez-Correa, J.C., Schuster, M., Nöth, E., & Orozco Arroyave, J.R. (2022). Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing. Speech Communication, 145, 10-20. https://doi.org/10.1016/j.specom.2022.09.001
Perez Toro, P.A., Arias Vergara, T., Klumpp, P., Vásquez-Correa, J.C., Schuster, M., Nöth, E., & Orozco-Arroyave, J.R. (2022). Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing. Speech Communication, 145, 10-20. https://doi.org/10.1016/j.specom.2022.09.001
Perez Toro, P.A., Klumpp, P., Hernandez, A., Arias Vergara, T., Lillo, P., Slachevsky, A.,... Orozco Arroyave, J.R. (2022). Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 2483-2487). Incheon, KR: International Speech Communication Association.
Perez Toro, P.A., Klumpp, P., Vásquez-Correa, J.C., Schuster, M., Nöth, E., Orozco-Arroyave, J.R., & Arias Vergara, T. (2022). 50 Shades of Gray: Effect of the Color Scale for the Assessment of Speech Disorders. Springer Science and Business Media Deutschland GmbH.
Perez Toro, P.A., Rodriguez Salas, D., Arias Vergara, T., Klumpp, P., Schuster, M., Nöth, E.,... Maier, A. (2022). Interpreting acoustic features for the assessment of Alzheimer's disease using ForestNet. Smart Health, 26. https://doi.org/10.1016/j.smhl.2022.100347
Perez Toro, P.A., Rodriguez Salas, D., Arias Vergara, T., Klumpp, P., Schuster, M., Nöth, E.,... Maier, A. (2022). Interpreting acoustic features for the assessment of Alzheimer's disease using ForestNet. Smart Health, 26. https://doi.org/10.1016/j.smhl.2022.100347
Ploner, S., Chen, S., Moult, E., Husvogt, L., Schottenhamml, J., Waheed, N.K.,... Maier, A. (2022). Ultrahigh resolution OCT, volume merging, and advanced signal reconstruction improve visualization of the RPE-Bruch's complex. In Investigative Ophthalmology & Visual Science. Rockville: Assoc Research Vision Ophthalmology Inc.
Popp, A., Taubmann, O., Thamm, F., Ditt, H., Maier, A., & Breininger, K. (2022). Thrombus Detection in Non-Contrast Head CT using Graph Deep Learning. In Bildverarbeitung in der Medizin. Heidelberg.
Pérez-Toro, P.A., Klumpp, P., Vasquez-Correa, J.C., Schuster, M., Nöth, E., Orozco-Arroyave, J.R., & Arias Vergara, T. (2022). 50 Shades of Gray: Effect of the Color Scale for the Assessment of Speech Disorders. In Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 352-363). Brno, CZE: Springer Science and Business Media Deutschland GmbH.
Rafael Calvo-Ariza, N., Felipe Gomez-Gomez, L., & Orozco Arroyave, J.R. (2022). Classical FE Analysis to Classify Parkinson’s Disease Patients. Electronics, 11(21). https://doi.org/10.3390/electronics11213533
Rao, D., Maass, N., Dennerlein, F., Maier, A., & Huang, Y. (2022). Machine Learning-based Detection of Spherical Markers in CT Volumes. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 51-56). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
Rios-Urrego, C.D., Moreno-Acevedo, S.A., Nöth, E., & Orozco Arroyave, J.R. (2022). End-to-End Parkinson’s Disease Detection Using a Deep Convolutional Recurrent Network. In Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 326-338). Brno, CZ: Springer Science and Business Media Deutschland GmbH.
Rueda, A., Vasquez Correa, J., Orozco Arroyave, J.R., Nöth, E., & Krishnan, S. (2022). Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia. Computer Speech and Language, 72. https://doi.org/10.1016/j.csl.2021.101322
Schäfer, P., Perez Toro, P.A., Klumpp, P., Orozco Arroyave, J.R., Nöth, E., Maier, A.,... Arias Vergara, T. (2022). CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 1959-1960). Incheon, KOR: International Speech Communication Association.
Schäfer, P., Pérez Toro, P.A., Klumpp, P., Orozco-Arroyave, J.R., Nöth, E., Maier, A.,... Arias Vergara, T. (2022). CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss. In Proceedings of the 23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 (pp. 1959-1960). International Speech Communication Association.
Singh Khural, B., Baer-Beck, M., Fournie, E., Stierstorfer, K., Huang, Y., & Maier, A. (2022). Deep Learning-based Extended Field of View Computed Tomography Image Reconstruction: Influence of Network Design on Image Estimation Outside the Scan Field of View. Biomedical Physics and Engineering Express. https://doi.org/10.1088/2057-1976/ac47fc
Sukesh, R., Fieselmann, A., Jaganathan, S., Shetty, K., Kaergel, R., Kordon, F.,... Maier, A. (2022). Training Deep Learning Models for 2D Spine X-rays Using Synthetic Images and Annotations Created from 3D CT Volumes. In Maier-Hein K, Deserno TM, Handels H, Maier A, Palm C, Tolxdorff T (Eds.), Bildverarbeitung für die Medizin 2022 (pp. 63--68). Heidelberg, DE: Wiesbaden: Springer Fachmedien Wiesbaden.
Sukesh, R., Seuret, M., Nicolaou, A., Mayr, M., & Christlein, V. (2022). A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches. In Seiichi Uchida, Elisa Barney, Véronique Eglin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 771-785). La Rochelle, FRA: Springer Science and Business Media Deutschland GmbH.
Thamm, F., Taubmann, O., Jürgens, M., Ditt, H., & Maier, A. (2022). Detection of Large Vessel Occlusions using Deep Learning by Deforming Vessel Tree Segmentations. In Bildverarbeitung für die Medizin 2022. Deutsches Krebsforschungszentrum, Heidelberg, Deutschland, DE.
Wagner, F., Thies, M., Gu, M., Huang, Y., Pechmann, S., Patwari, M.,... Maier, A. (2022). Ultra low‐parameter denoising: Trainable bilateral filter layers in computed tomography. Medical Physics, 49(8), 5107-5120. https://doi.org/10.1002/mp.15718
Weise, T., Maier, A., Nöth, E., Heismann, B., Schuster, M., & Yang, S.H. (2022). Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment. In Proceedings of the Proceedings of INTERSPEECH 2022. Songdo, KR.
Wilm, F., Fragoso, M., Marzahl, C., Qiu, J., Puget, C., Diehl, L.,... Aubreville, M. (2022). Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset. Scientific Data, 9(1). https://doi.org/10.1038/s41597-022-01692-w
Wilm, F., Marzahl, C., Breininger, K., & Aubreville, M. (2022). Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge. In Marc Aubreville, David Zimmerer, Mattias Heinrich (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 5-13). Strasbourg, FRA: Springer Science and Business Media Deutschland GmbH.
Zhuang, X., Xu, J., Luo, X., Chen, C., Ouyang, C., Rueckert, D.,... Li, L. (2022). Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Analysis, 81. https://doi.org/10.1016/j.media.2022.102528
Zippert, P., Seuret, M., Maier, A., & Hausotte, T. (2022). Influence of X-Ray Radiation on Historical Paper. In Proceedings of the 11th Conference on Industrial Computed Tomography. Wels, Austria, AT.
tom Dieck, T., Perez Toro, P.A., Arias Vergara, T., Nöth, E., & Klumpp, P. (2022). Wav2vec behind the Scenes: How end2end Models learn Phonetics. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 5130-5134). Incheon, KR: International Speech Communication Association.
tom Dieck, T., Perez Toro, P.A., Arias Vergara, T., Nöth, E., & Klumpp, P. (2022). Wav2vec behind the Scenes: How end2end Models learn Phonetics. In Proceedings of the 23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 (pp. 5130-5134). International Speech Communication Association.

2021

Bergler, C., Gebhard, A., Towers, J.R., Butyrev, L., Sutton, G.J., Shaw, T.J.H.,... Nöth, E. (2021). FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales. Scientific Reports, 11(1), 1-16. https://doi.org/10.1038/s41598-021-02506-6
Bergler, C., Schmitt, M., Maier, A., Symonds, H., Spong, P., Ness, S.,... Nöth, E. (2021). ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2021. Brno, Czechia: International Speech Communication Association.
Bertram, C.A., Donovan, T.A., Tecilla, M., Bartenschlager, F., Fragoso, M., Wilm, F.,... Aubreville, M. (2021). Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 134-139). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Breininger, K., Pfister, M., Kowarschik, M., & Maier, A. (2021). Move Over There One-click Deformation Correction for Image Fusion during Endovascular Aortic Repair. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 35-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Chen, S., Stromer, D., Alnasser Alabdalrahim, H., Schwab, S., Weih, M., & Maier, A. (2021). Abstract: Automatic Dementia Screening and Scoring by Applying Deep Learning on Clock-drawing Tests. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 289-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Deitsch, S., Buerhop-Lutz, C., Sovetkin, E., Steland, A., Gallwitz, F., Maier, A., & Rieß, C. (2021). Segmentation of Photovoltaic Module Cells in Uncalibrated Electroluminescence Images. Machine Vision and Applications, 32. https://doi.org/10.1007/s00138-021-01191-9
Denzinger, F., Wels, M., Breininger, K., Gülsün, M.A., Schöbinger, M., André, F.,... Maier, A. (2021). Abstract: Automatic CAD-RADS Scoring using Deep Learning. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 104-). Regensburg, DEU: Springer Science and Business Media Deutschland GmbH.
Diehm, J., Hermann, R., Pertlwieser, T., Cheng, W., Fu, W., Kordon, F., & Maier, A. (2021). ScanRacer – Fast Track Annotation of Segmentation Masks in Volumetric Medical Images. Poster presentation at HEALTHINF - 14th International Conference on Health Informatics, Online Streaming.
Dürrbeck, C., Pflaum, L., Schulz, M., Kallis, K., Geimer, T., Abu-Hossin, N.,... Bert, C. (2021). Implant-based CT estimation towards adaptive breast brachytherapy. In RADIOTHERAPY AND ONCOLOGY (pp. S76-S77). CLARE: ELSEVIER IRELAND LTD.
Escobar-Grisales, D., Rios-Urrego, C.D., Lopez-Santander, D.A., Gallo-Aristizabal, J.D., Vasquez-Correa, J.C., Nöth, E., & Orozco-Arroyave, J.R. (2021). COLOMBIAN DIALECT RECOGNITION BASED ON INFORMATION EXTRACTED FROM SPEECH AND TEXT SIGNALS. In 2021 IEEE AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING WORKSHOP (ASRU) (pp. 556-563). NEW YORK: IEEE.
Escobar-Grisales, D., Vasquez Correa, J., & Orozco Arroyave, J.R. (2021). Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning. In Juan Carlos Figueroa-García, Yesid Díaz-Gutierrez, Elvis Eduardo Gaona-García, Alvaro David Orjuela-Cañón (Eds.), Communications in Computer and Information Science (pp. 171-179). Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Felsner, L. (2021). Advanced 3-D Reconstruction of Talbot-Lau Data (Dissertation).
Felsner, L., Roser, P., Maier, A., & Riess, C. (2021). Comparison of methods for sensitivity correction in Talbot–Lau computed tomography. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-021-02487-x
Felsner, L., Syben-Leisner, C., Maier, A., & Riess, C. (2021). Helical Dark-field Fiber Reconstruction. In Proceedings of the International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D).
Ferrer, C.A., Aragón, E., Hdez-Díaz, M.E., De Bodt, M.S., Cmejla, R., Englert, M.,... Nöth, E. (2021). Modeling dysphonia severity as a function of roughness and breathiness ratings in the GRBAS scale. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 4835-4839). Brno, CZE: International Speech Communication Association.
Ferrer Riesgo, C.A., Rodriguez-Guillen, R., & Nöth, E. (2021). Evaluation of GOI Detectors in EGG Signals Assuming Different Models for the Pulse Length Variability. In PROGRESS IN ARTIFICIAL INTELLIGENCE AND PATTERN RECOGNITION (pp. 434-443). , ELECTR NETWORK: CHAM: SPRINGER INTERNATIONAL PUBLISHING AG.
Fu, W., Breininger, K., Schaffert, R., Pan, Z., & Maier, A. (2021). “Keep it simple, scholar”: an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-021-02340-1
Fu, W., Mill, L., Seitz, S., Geimer, T., Kling, L., Possart, D.,... Maier, A. (2021). Towards Mouse Bone X-ray Microscopy Scan Simulation. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 128-133). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Garcia, A.M., Arias-Vergara, T., C. Vasquez-Correa, J., Nöth, E., Schuster, M., Welch, A.E.,... Orozco-Arroyave, J.R. (2021). Cognitive Determinants of Dysarthria in Parkinson's Disease: An Automated Machine Learning Approach. Movement Disorders. https://doi.org/10.1002/mds.28751
Gottschalk, T., Maier, A., Kordon, F., & Kreher, B.W. (2021). Learning-based Patch-wise Metal Segmentation with Consistency Check. In Palm C, Deserno TM, Handels H, Maier A, Maier-Hein K, Tolxdorff T (Eds.), Bildverarbeitung für die Medizin 2021 (pp. 4-9). Virtual Conference: Wiesbaden: Springer Vieweg.
Gottschalk, T., Maier, A., Kordon, F., & Kreher, B.W. (2021). View-Consistent Metal Segmentation in the Projection Domain for Metal Artifact Reduction in CBCT – An Investigation of Potential Improvement. Journal Machine Learning for Biomedical Imaging, December 2021 issue(1).
Gündel, S., Setio, A.A., Ghesu, F.-C., Grbic, S., Georgescu, B., Maier, A., & Comaniciu, D. (2021). Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment. Medical Image Analysis. https://doi.org/10.1016/j.media.2021.102087
Haase, V., Stierstorfer, K., Hahn, K., Schoendube, H., Maier, A., & Noo, F. (2021). Non-Contrast Head CT Imaging Using Dual Energy: A Study on Bias Induced by Imperfections in Energy Response and Material Knowledge. Paper presentation at 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Leuven, Belgium, BE.
Hiemann, A., Kautz, T., Zottmann, T., & Hlawitschka, M. (2021). Enhancement of speed and accuracy trade-off for sports ball detection in videos—finding fast moving, small objects in real time. Sensors, 21(9). https://doi.org/10.3390/s21093214
Hoffmann, M., Buerhop-Lutz, C., Reeb, L., Pickel, T., Winkler, T., Doll, B.,... Christlein, V. (2021). Deep Learning-based Pipeline for Module Power Prediction from EL Measurements. Progress in Photovoltaics. https://doi.org/10.1002/pip.3416
Hoffmann, M., Köhler, T., Doll, B., Schebesch, F., Talkenberg, F., Peters, I.M.,... Christlein, V. (2021). Joint Super-Resolution and Rectification for Solar Cell Inspection. IEEE Journal of Photovoltaics, 11(4), 1051-1058. https://doi.org/10.1109/JPHOTOV.2021.3072229
Hoppe, E., Wetzl, J., Roser, P., Felsner, L., Preuhs, A., & Maier, A. (2021). 2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 158-163). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Hoppe, E., Wetzl, J., Yoon, S.S., Bacher, M., Roser, P., Stimpel, B.,... Maier, A. (2021). Deep learning-based ECG-free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/tmi.2021.3073091
Huang, Y., Fan, F., Syben-Leisner, C., Roser, P., Mill, L., & Maier, A. (2021). Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems. Medical Image Analysis, 70. https://doi.org/10.1016/j.media.2021.102028
Huang, Y., Mill, L., Stoll, R., Kling, L., Aust, O., Wagner, F.,... Maier, A. (2021). Semi-Permeable Filters for Interior Region of Interest Dose Reduction in X-Ray Microscopy. In Bildverarbeitung für die Medizin. Regensburg, DE: Springer.
Huang, Y., Preuhs, A., Manhart, M., Lauritsch, G., & Maier, A. (2021). Data Extrapolation from Learned Prior Images for Truncation Correction in Computed Tomography. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/TMI.2021.3072568
Jiang, Z., Huang, Z., Qiu, B., Meng, X., You, Y., Liu, X.,... Lu, Y. (2021). Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography. IEEE Transactions on Medical Imaging, 40(2), 688-698. https://doi.org/10.1109/TMI.2020.3035154
Klumpp, P., Arias Vergara, T., Vásquez-Correa, J.C., Perez Toro, P.A., Orozco-Arroyave, J.R., Batliner, A., & Nöth, E. (2021). The Phonetic Footprint of Parkinson's Disease. Computer Speech and Language, 72(Speech based evaluation of neurological diseases). https://doi.org/10.1016/j.csl.2021.101321
Klumpp, P., Bocklet, T., Arias Vergara, T., Vasquez Correa, J., Perez Toro, P.A., Bayerl, S.,... Nöth, E. (2021). The Phonetic Footprint of Covid-19. In Proc. Interspeech 2021 (pp. 441-445).
Kordon, F., Maier, A., & Kunze, H. (2021). Latent Shape Constraint for Anatomical Landmark Detection on Spine Radiographs. In Palm C, Deserno TM, Handels H, Maier A, Maier-Hein K, Tolxdorff T (Eds.), Bildverarbeitung für die Medizin 2021 (pp. 350-355). Virtual Conference: Wiesbaden: Springer Vieweg.
Krauß, P., Metzner, C., Joshi, N., Schulze, H., Traxdorf, M., Maier, A., & Schilling, A. (2021). Analysis and visualization of sleep stages based on deep neural networks. Neurobiology of Sleep and Circadian Rhythms, 10. https://doi.org/10.1016/j.nbscr.2021.100064
Lenc, L., Martínek, J., Král, P., Nicolao, A., & Christlein, V. (2021). HDPA: historical document processing and analysis framework. Evolving Systems, 12, 177–190. https://doi.org/10.1007/s12530-020-09343-4
Martín Vicario, C., Kordon, F., Denzinger, F., Weiten, M., Thomas, S., Kausch, L.,... Kunze, H. (2021). Automatic Plane Adjustment in Surgical Cone Beam CT-volumes. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 170-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Marzahl, C., Aubreville, M., Bertram, C.A., Maier, J., Bergler, C., Kröger, C.,... Maier, A. (2021). EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-83827-4
Marzahl, C., Aubreville, M., Bertram, C.A., Stayt, J., Jasensky, A.K., Bartenschlager, F.,... Maier, A. (2021). Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 48-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Marzahl, C., Bertram, C.A., Aubreville, M., Petrick, A., Weiler, K., Gläsel, A.C.,... Maier, A. (2021). Abstract: Are Fast Labeling Methods Reliable?: A Case Study of Computer-aided Expert Annotations on Microscopy Slides. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 296-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Marzahl, C., Bertram, C.A., Wilm, F., Voigt, J., Barton, A.K., Klopfleisch, R.,... Aubreville, M. (2021). Cell Detection for Asthma on Partially Annotated Whole Slide Images: Learning to be EXACT. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 147-152). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Mattick, A., Mayr, M., Seuret, M., Maier, A., & Christlein, V. (2021). SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators. In Josep Lladós, Daniel Lopresti, Seiichi Uchida (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 268-283). Lausanne, CHE: Springer Science and Business Media Deutschland GmbH.
Mill, L., Wolff, D., Gerrits, N., Philipp, P., Kling, L., Vollnhals, F.,... Christiansen, S. (2021). Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation. Small Methods. https://doi.org/10.1002/smtd.202100223
Orozco Arroyave, J.R., Amato, F., Borzi, L., & Olmo, G. (2021). An algorithm for Parkinson's disease speech classification based on isolated words analysis. Health Information Science and Systems, 9(1). https://doi.org/10.1007/s13755-021-00162-8
Perez Toro, P.A., Bayerl, S., Arias Vergara, T., Vasquez Correa, J., Klumpp, P., Schuster, M.,... Riedhammer, K. (2021). Influence of the Interviewer on the Automatic Assessment of Alzheimer’s Disease in the Context of the ADReSSo Challenge. In Proc. Interspeech 2021 (pp. 3785-3789). International Speech Communication Association.
Perez Toro, P.A., Vasquez Correa, J., Arias Vergara, T., Klumpp, P., Sierra-Castrillón, M., Roldán-López, M.E.,... Nöth, E. (2021). Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer's Disease. In Proceedings of the ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 8338-8342). IEEE.
Perez Toro, P.A., Vasquez Correa, J., Bocklet, T., Nöth, E., & Orozco-Arroyave, J.R. (2021). User State Modeling Based on the Arousal-Valence Plane: Applications in Customer Satisfaction and Health-Care. IEEE Transactions on Affective Computing. https://doi.org/10.1109/TAFFC.2021.3112543
Perez Toro, P.A., Vásquez-Correa, J.C., Arias Vergara, T., Klumpp, P., Schuster, M., Nöth, E., & Orozco-Arroyave, J.R. (2021). Emotional State Modeling for the Assessment of Depression in Parkinson’s Disease. In Kamil Ekštein, František Pártl, Miloslav Konopík (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 457-468). Olomouc, CZE: Springer Science and Business Media Deutschland GmbH.
Ploner, S., Kraus, M., Moult, E.M., Husvogt, L., Schottenhamml, J., Yasin Alibhai, A.,... Maier, A. (2021). Efficient and high accuracy 3-D OCT angiography motion correction in pathology. Biomedical Optics Express, 12(1), 125-146. https://doi.org/10.1364/BOE.411117
Ramos, V.M., Vasquez Correa, J., Cremers, R., Van Den Steen, L., Nöth, E., De Bodt, M., & Van Nuffelen, G. (2021). Automatic boost articulation therapy in adults with dysarthria: Acceptability, usability and user interaction. International Journal of Language & Communication Disorders. https://doi.org/10.1111/1460-6984.12647
Rao, Q., Lu, Y., Song, L., Hou, Y., Zhan, X., & Zhang, Q. (2021). Highly Efficient Self-Repairing Slippery Liquid-Infused Surface with Promising Anti-Icing and Anti-Fouling Performance. ACS Applied Materials and Interfaces. https://dx.doi.org/10.1021/acsami.1c09491
Reimann, M., Fu, W., & Maier, A. (2021). Novel Evaluation Metrics for Vascular Structure Segmentation. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 80-85). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Rios-Urrego, C.D., Vásquez-Correa, J.C., Orozco-Arroyave, J.R., & Nöth, E. (2021). Is There Any Additional Information in a Neural Network Trained for Pathological Speech Classification? In Kamil Ekštein, František Pártl, Miloslav Konopík (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 435-447). Olomouc, CZ: Springer Science and Business Media Deutschland GmbH.
Roldan-Vasco, S., Orozco-Duque, A., Suarez-Escudero, J.C., & Orozco Arroyave, J.R. (2021). Machine learning based analysis of speech dimensions in functional oropharyngeal dysphagia. Computer Methods and Programs in Biomedicine, 208. https://doi.org/10.1016/j.cmpb.2021.106248
Roser, P., Birkhold, A., Preuhs, A., Syben-Leisner, C., Felsner, L., Hoppe, E.,... Maier, A. (2021). X-ray Scatter Estimation Using Deep Splines. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/TMI.2021.3074712
Roser, P., Felsner, L., Maier, A., & Riess, C. (2021). Learning the Inverse Weighted Radon Transform. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 49-54). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Roser, P., Zhong, X., Birkhold, A., Preuhs, A., Syben-Leisner, C., Hoppe, E.,... Maier, A. (2021). Abstract: Simultaneous Estimation of X-ray Back-scatter and Forward-scatter using Multi-task Learning. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 262-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Rücker, N., Pflueger, L., & Maier, A. (2021). Hardware Failure Prediction on Imbalanced Times Series Data: Generation of Artificial Data Using Gaussian Process and Applying LSTMFCN to Predict Broken Hardware. Journal of Digital Imaging. https://doi.org/10.1007/s10278-020-00411-4
Scheuerer, R., Haderlein, T., Nöth, E., & Bocklet, T. (2021). APPLYING X-VECTORS ON PATHOLOGICAL SPEECH AFTER LARYNX REMOVAL. In 2021 IEEE AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING WORKSHOP (ASRU) (pp. 1079-1086). Online: NEW YORK: IEEE.
Schuller, B., Batliner, A., Bergler, C., Mascolo, C., Han, J., Lefter, I.,... Kaandorp, C. (2021). The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2021. Brno, Czechia: International Speech Communication Association.
Sechidis, K., Fusaroli, R., Orozco Arroyave, J.R., Wolf, D., & Zhang, Y.P. (2021). A machine learning perspective on the emotional content of Parkinsonian speech. Artificial Intelligence in Medicine, 115. https://doi.org/10.1016/j.artmed.2021.102061
Seuret, M., Nicolaou, A., Rodríguez-Salas, D., Weichselbaumer, N., Stutzmann, D., Mayr, M.,... Christlein, V. (2021). ICDAR 2021 Competition on Historical Document Classification. In Josep Lladós, Daniel Lopresti, Seiichi Uchida (Eds.), Document Analysis and Recognition – ICDAR 2021 (pp. 618-634). Lausanne, CH: Springer Science and Business Media Deutschland GmbH.
Sievert, M., Oetter, N., Aubreville, M., Stelzle, F., Maier, A., Eckstein, M.,... Goncalves, M. (2021). Feasibility of intraoperative assessment of safe surgical margins during laryngectomy with confocal laser endomicroscopy: A pilot study. Auris Nasus Larynx. https://doi.org/10.1016/j.anl.2021.01.005
Steger, J., Zimmermann, A., Wittenberg, T., & Wilhelm, D. (2021). Electromagnets for an endoscopic anastomosis tool in the colon. Current Directions in Biomedical Engineering, 7(1). https://doi.org/10.1515/cdbme-2021-1009
Sukesh, R., Goshika, S.K., Narayanan, S.S., Bhombore, V.V., Fu, W., Kordon, F., & Maier, A. (2021). Velo-CT – A Collaborative 3D Racing Game as Incentive for Medical Image Annotation. Poster presentation at HEALTHINF - 14th International Conference on Health Informatics, Online Streaming.
Symeonidi, A., Nicolaou, A., Johannes, F., & Christlein, V. (2021). Recursive Convolutional Neural Networks for Epigenomics. In Proceedings of the 25th International Conference on Pattern Recognition (ICPR). Milan, IT.
Tayebi Arasteh, S., Monajem, M., Christlein, V., Heinrich, P., Nicolao, A., Boldaji, H.N.,... Evert, S. (2021). How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies. In IEEE (Eds.), 2021 IEEE 15th International Conference on Semantic Computing (ICSC) (pp. 370-373). Laguna Hills, CA, US.
Thamm, A., Herz, M., Wiedemann, M., Thamm, F., & Maier, A. (2021). Failure and Risk Analysis based on Maintenance Reports of Machines Components in Manufacturing Industry. In Springer (Eds.), Proceedings of the XIII. International Conference on the Theory of Machines and Mechanisms - TMM2020. Liberec, CZ: Heidelberg: Springer-Verlag GmbH.
Thamm, F., Jürgens, M., Ditt, H., & Maier, A. (2021, March). Abstract: VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data. Poster presentation at BVM Workshop 2021, OTH Regensburg, DE.
Theelke, L., Wilm, F., Marzahl, C., Bertram, C.A., Klopfleisch, R., Maier, A.,... Breininger, K. (2021). Iterative Cross-Scanner Registration for Whole Slide Images. In 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021) (pp. 582-590). LOS ALAMITOS: IEEE COMPUTER SOC.
Tripathi, P., Obler, R., Maier, A., & Janssen, H. (2021). A Novel Trilateral Filter for Digital Subtraction Angiography. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 310-315). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Vasquez Correa, J., Arias Vergara, T., Klumpp, P., Perez Toro, P.A., Orozco-Arroyave, J.R., & Nöth, E. (2021). End-2-End Modeling of Speech and Gait from Patients with Parkinson’s Disease: Comparison Between High Quality Vs. Smartphone Data. In Proceedings of the ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 7298-7302). Institute of Electrical and Electronics Engineers Inc..
Vasquez Correa, J., Fritsch, J., Orozco Arroyave, J.R., Nöth, E., & Magimai-Doss, M. (2021). On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease. In INTERSPEECH 2021 (pp. 26-30). Brno, CZ: BAIXAS: ISCA-INT SPEECH COMMUNICATION ASSOC.
Vásquez-Correa, J.C., Rios-Urrego, C.D., Arias Vergara, T., Schuster, M., Rusz, J., Nöth, E., & Orozco-Arroyave, J.R. (2021). Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages. Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2021.04.011
Wallraff, S., Vesal, S., Syben-Leisner, C., Lutz, R., & Maier, A. (2021). Age Estimation on Panoramic Dental X-ray Images using Deep Learning. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 186-191). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Wang, Z., Maier, A., & Christlein, V. (2021). Towards End-to-End Deep Learning-based Writer Identification. In Reussner RH, Koziolek A, Heinrich R (Eds.), INFORMATIK 2020 (pp. 1345-1354). Gesellschaft für Informatik, Bonn.
Wilm, F., Bertram, C.A., Marzahl, C., Bartel, A., Donovan, T.A., Assenmacher, C.A.,... Aubreville, M. (2021). Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 241-246). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Xiong, Z., Xia, Q., Hu, Z., Huang, N., Bian, C., Zheng, Y.,... Zhao, J. (2021). A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Analysis, 67. https://doi.org/10.1016/j.media.2020.101832
Xu, J., Sun, C., Huang, Y., & Huang, X. (2021). Residual Neural Network for Filter Kernel Design in Filtered Back-projection for CT Image Reconstruction. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 164-169). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Zhong, X., Amrehn, M., Ravikumar, N., Chen, S., Strobel, N., Birkhold, A.,... Maier, A. (2021). Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-82370-6

2020

Ahmed, J., Vesal, S., Durlak, F., Kaergel, R., Ravikumar, N., Rémy-Jardin, M., & Maier, A. (2020). COPD classification in CT images using a 3D convolutional neural network. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 39-45). Berlin, DE: Springer.
Argüello-Vélez, P., Arias-Vergara, T., González-Rátiva, M.C., Orozco-Arroyave, J.R., Nöth, E., & Schuster, M.E. (2020). Acoustic characteristics of vot in plosive consonants produced by parkinson’s patients. In Petr Sojka, Ivan Kopecek, Karel Pala, Aleš Horák (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 303-311). Brno, CZ: Springer Science and Business Media Deutschland GmbH.
Arias Vergara, T., Arguello-Velez, P., Vasquez Correa, J., Nöth, E., Schuster, M., González-Rátiva, M.C., & Orozco Arroyave, J.R. (2020). Automatic detection of Voice Onset Time in voiceless plosives using gated recurrent units. Digital Signal Processing, 104. https://doi.org/10.1016/j.dsp.2020.102779
Arias-Vergara, T., Klumpp, P., Vasquez-Correa, J.C., Nöth, E., Orozco-Arroyave, J.R., & Schuster, M. (2020). Multi-channel spectrograms for speech processing applications using deep learning methods. Pattern Analysis and Applications. https://doi.org/10.1007/s10044-020-00921-5
Aubreville, M. (2020). Computer-Aided Tumor Diagnosis of Microscopy Images (Dissertation).
Aubreville, M., Bertram, C.A., Donovan, T.A., Marzahl, C., Maier, A., & Klopfleisch, R. (2020). A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research. Scientific Data, 7(1). https://doi.org/10.1038/s41597-020-00756-z
Aubreville, M., Bertram, C.A., Jabari, S., Marzahl, C., Klopfleisch, R., & Maier, A. (2020). Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment - Learning New Tricks from Old Dogs. In Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (Eds.), Bildverarbeitung für die Medizin 2020. (pp. 1-7). Wiesbaden: Springer Vieweg.
Aubreville, M., Bertram, C.A., Marzahl, C., Gurtner, C., Dettwiler, M., Schmidt, A.,... Maier, A. (2020). Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-73246-2
Bayer, S., Spiske, U., Geimer, T., Luo, J., Wells III, W.M., Ostermeier, M.,... Maier, A. (2020). An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process. In Springer (Eds.), Algorithmen – Systeme – Anwendungen. Proceedings des Workshops. Berlin: Springer.
Bayer, S., Zhong, X., Fu, W., Ravikumar, N., & Maier, A. (2020). Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach. In Springer (Eds.), Algorithmen – Systeme – Anwendungen. Proceedings des Workshops. Berlin, DE: Sringer.
Bergler, C., Schmitt, M., Maier, A., Smeele, S., Barth, V., & Nöth, E. (2020). ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 (pp. 1136-1140). Shanghai, China: International Speech Communication Association.
Bertram, C.A., Aubreville, M., Gurtner, C., Bartel, A., Corner, S.M., Dettwiler, M.,... Klopfleisch, R. (2020). Computerized Calculation of Mitotic Count Distribution in Canine Cutaneous Mast Cell Tumor Sections: Mitotic Count Is Area Dependent. Veterinary Pathology, 57(2), 214-226. https://doi.org/10.1177/0300985819890686
Bertram, C.A., Aubreville, M., Marzahl, C., Maier, A., & Klopfleisch, R. (2020, February). How Big is Big Enough?: A Large-Scale Histological Dataset of Mitotic Figures. Paper presentation at Bildverarbeitung für die Medizin 2020, Berlin, DE.
Bertram, C.A., Veta, M., Marzahl, C., Stathonikos, N., Maier, A., Klopfleisch, R., & Aubreville, M. (2020). Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels. In Jaime Cardoso, Wilson Silva, Ricardo Cruz, Hien Van Nguyen, Badri Roysam, Nicholas Heller, Pedro Henriques Abreu, Jose Pereira Amorim, Ivana Isgum, Vishal Patel, Kevin Zhou, Steve Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Samaneh Abbasi, Diana Mateus, Emanuele Trucco (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 204-213). Lima, PE: Springer Science and Business Media Deutschland GmbH.
Bootwala, A., Breininger, K., Maier, A., & Christlein, V. (2020). Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval. In Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm (Eds.), Bildverarbeitung für die Medizin 2020. (pp. 144-149). Wiesbaden: Springer Vieweg.
Breininger, K., Pfister, M., Kowarschik, M., & Maier, A. (2020). Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 713-723). Lima, PE: Springer Science and Business Media Deutschland GmbH.
Chen, S., Stromer, D., Alnasser Alabdalrahim, H., Schwab, S., Weih, M., & Maier, A. (2020). Automatic dementia screening and scoring by applying deep learning on clock-drawing tests. Scientific Reports, 10, 1-11. https://doi.org/10.1038/s41598-020-74710-9
Chen, S., Zhong, X., Hu, S., Dorn, S., Kachelriess, M., Lell, M., & Maier, A. (2020). Automatic Multi-organ Segmentation in Dual Energy CT (DECT) with Dedicated 3D Fully Convolutional DECT Networks. Medical Physics, 47(2), 552-562. https://doi.org/10.1002/mp.13950
Denzinger, F., Wels, M., Breininger, K., Gülsün, M.A., Schöbinger, M., Andre, F.,... Maier, A. (2020). Automatic CAD-RADS Scoring using Deep Learning. In Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Lima, Peru: Cham: Springer.
Denzinger, F., Wels, M., Breininger, K., Reidelshöfer, A., Eckert, J., Sühling, M.,... Maier, A. (2020). Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics. Paper presentation at BVM Workshop 2020, Berlin, DE.
Denzinger, F., Wels, M., Breininger, K., Reidelshöfer, A., Eckert, J., Sühling, M.,... Maier, A. (2020). Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. In Proceedings of the BVM Workshop 2020. Berlin, DE.
Eckert, D., Vesal, S., Ritschl, L., Kappler, S., & Maier, A. (2020). Deep learning-based denoising of mammographic images using physics-driven data augmentation. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 94-100). Berlin, DE: Springer.
Eyigoz, E., Courson, M., Sedeño, L., Rogg, K., Orozco-Arroyave, J.R., Nöth, E.,... García, A.M. (2020). From discourse to pathology: Automatic identification of Parkinson's disease patients via morphological measures across three languages. Cortex, 132, 191-205. https://doi.org/10.1016/j.cortex.2020.08.020
Fan, F., Qiu, J., Wang, J., Valianos, S., Farooq, M.M., Fu, W.,... Maier, A. (2020). Odin’s Eye – A Close Look at Gamification of Labelling of Ophthalmic Diseases. Paper presentation at Joint Conference of the GMDS & CEN-IBS 2020, Online Streaming.
Felsner, L., Käppler, S., Maier, A., & Riess, C. (2020). Truncation Correction for X-ray Phase-Contrast Region-of-Interest Tomography. IEEE Transactions on Computational Imaging, 6, 625 - 639. https://doi.org/10.1109/TCI.2020.2964217
Felsner, L., Würfl, T., Syben-Leisner, C., Roser, P., Preuhs, A., Maier, A., & Riess, C. (2020). Reconstruction of Voxels with Position- and Angle-Dependent Weightings. In Proceedings of the The 6th International Conference on Image Formation in X-Ray Computed Tomography. Online meeting.
Ferrer Riesgo, C.A., & Nöth, E. (2020). What Makes the Cepstral Peak Prominence Different to Other Acoustic Correlates of Vocal Quality? Journal of Voice. https://doi.org/10.1016/j.jvoice.2019.01.004
Fu, W., Breininger, K., Pan, Z., & Maier, A. (2020). Degenerating u-net on retinal vessel segmentation: What do we really need? In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 33-38). Berlin, DE: Springer.
Gaffling, S. (2020). Volumetric Histology-3D-reconstruction of histological tissue slices for a better functional understanding. In JOURNAL OF ANATOMY (pp. 49-49). HOBOKEN: WILEY.
Gao, C., Farvardin, A., Grupp, R., Bakhtiarinejad, M., Ma, L., Thies, M.,... Armand, M. (2020). Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty. IEEE Transactions on Medical Robotics and Bionics, 2(3), 437-446. https://doi.org/10.1109/TMRB.2020.3012460
Götz, T., Schmidkonz, C., Chen, S., Al-Baddai, S., Kuwert, T., & Lang, E.W. (2020). A deep learning approach to radiation dose estimation. Physics in Medicine and Biology, 65(3), 035007-. https://doi.org/10.1088/1361-6560/ab65dc
Haase, V., Hahn, K., Schoendube, H., Stierstorfer, K., Maier, A., & Noo, F. (2020). Single Material Beam Hardening Correction in CT Using an Analytical Energy Response Model. Paper presentation at 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Boston, MA, USA, US.
Hariharan, S.G., Strobel, N., Kaethner, C., Kowarschik, M., Fahrig, R., & Navab, N. (2020). Data-driven estimation of noise variance stabilization parameters for low-dose X-ray images. Physics in Medicine and Biology, 65(22). https://doi.org/10.1088/1361-6560/abbc82
Hoppe, E., Thamm, F., Koerzdoerfer, G., Syben-Leisner, C., Nittka, M., Pfeuffer, J.,... Maier, A. (2020, March). RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting. Paper presentation at Bilderverarbeitung für die Medizin Algorithmen - Systeme - Anwendungen, Berlin, DE.
Hoppe, E., Wetzl, J., Yoon, S.S., Schneider, M., Stimpel, B., Preuhs, A., & Maier, A. (2020). DeepECG: Towards 3-D Continuous Cardiac MRI without ECG-Gating - Deep Learning based R-Wave Classification for Automated Cardiac Phase Binning. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition. Sydney, AU.
Hoßbach, J., Husvogt, L., Kraus, M., Fujimoto, J.G., & Maier, A. (2020). Deep OCT angiography image generation for motion artifact suppression. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 248-253). Berlin, DE: Springer.
Huang, Y. (2020). Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle Tomography (Dissertation).
Huang, Y., Gao, L., Preuhs, A., & Maier, A. (2020). Field of View Extension in Computed Tomography Using Deep Learning Prior. In Andreas Maier, Klaus Hermann Maier-Hein, Thomas Martin Deserno, Heinz Handels, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin: Algorithmen – Systeme – Anwendungen. Berlin, DE: Springer.
Huang, Y., Wang, S., Guan, Y., & Maier, A. (2020). Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning. Journal of Synchrotron Radiation. https://doi.org/10.1107/S160057752000017X
Huang, Z., Jiang, Z., Hu, Y., Zou, D., Yu, Y., Ren, Q.,... Lu, Y. (2020). Retinal choroidal vessel imaging based on multi-wavelength fundus imaging with the guidance of optical coherence tomography. Biomedical Optics Express, 11(9), 5212-5224. https://dx.doi.org/10.1364/BOE.397750
Jaremenko, C., Affronti, E., Merklein, M., & Maier, A. (2020). Temporal and spatial detection of the onset of local necking and assessment of its growth behavior. Materials, 13(11). https://doi.org/10.3390/ma13112427
Jiang, Z., Huang, Z., Qiu, B., Liu, X., Meng, X., You, Y.,... Lu, Y. (2020). Comparative Study of Deep Learning Models for Optical Coherence Tomography Angiography. Biomedical Optics Express, 11(3), 1216-1632. https://doi.org/10.1364/BOE.387807
Jordan, S., Seuret, M., Král, P., Lenc, L., Martínek, J., Wiermann, B.,... Christlein, V. (2020). Re-Ranking for Writer Identification and Writer Retrieval. In Document Analysis Systems. (pp. 572-586).
Kacha, A., Grenez, F., Orozco Arroyave, J.R., & Schoentgen, J. (2020). Principal component analysis of the spectrogram of the speech signal: Interpretation and application to dysarthric speech. Computer Speech and Language, 59, 114-122. https://doi.org/10.1016/j.csl.2019.07.001
Kara, D.D., Ring, M., Hennig, F., & Michelson, G. (2020). Effects of Mild Traumatic Brain Injury on Stereopsis Detected by a Virtual Reality System: Attempt to Develop a Screening Test. Journal of Medical and Biological Engineering. https://doi.org/10.1007/s40846-020-00542-7
Karan, B., Sahu, S.S., Orozco Arroyave, J.R., & Mahto, K. (2020). Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech. Biomedical Signal Processing and Control, 61. https://doi.org/10.1016/j.bspc.2020.102018
Klumpp, P., Arias Vergara, T., Vasquez Correa, J., Perez Toro, P.A., Hönig, F.T., Nöth, E., & Orozco-Arroyave, J.-R. (2020). Surgical mask detection with deep recurrent phonetic models. In Proceedings of the 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 (pp. 2057-2061). International Speech Communication Association.
Klumpp, P., Arias Vergara, T., Vásquez-Correa, J.C., Pérez-Toro, P.A., Hönig, F.T., Nöth, E., & Orozco-Arroyave, J.R. (2020). Surgical mask detection with deep recurrent phonetic models. In Interspeech 2020. International Speech Communication Association (ISCA).
Klumpp, P., Fritsch, J.D., & Nöth, E. (2020). ANN-based Alzheimer's disease classification from bag of words. In Speech Communication - 13th ITG-Fachtagung Sprachkommunikation (pp. 341-344). Oldenburg, DE: VDE Verlag GmbH.
Koch, M. (2020). Artificial Intelligence based Methods for Atrial Fibrillation Ablation Procedures (Dissertation).
Kordon, F., Fischer, P., Privalov, M., Swartman, B., Schnetzke, M., Franke, J.,... Kunze, H. (2020, February). Multi-Task Framework for X-Ray Guided Planning in Knee Surgery. Poster presentation at Bildverarbeitung für die Medizin 2020, Berlin, DE.
Kuhnert, N., & Maier, A. (2020). With Semantics and Hidden Markov Models to an Adaptive Log File Parser. International Journal on Natural Language Computing. https://doi.org/10.5121/ijnlc.2019.8603
Kuhnert, N., Pflueger, L., & Maier, A. (2020). Prediction of MRI Hardware Failures based on Image Features using Ensemble Learning. In Proceedings of the Bildverarbeitung für die Medizin 2020. Berlin, DE.
Kuhnert, N., Pflueger, L., & Maier, A. (2020). Prediction of MRI Hardware Failures based on Image Features using Time Series Classification. In Proceedings of the Bildverarbeitung für die Medizin. Berlin.
Leipert, M., Vogeler, G., Seuret, M., Maier, A., & Christlein, V. (2020). The Notary in the Haystack – Countering Class Imbalance in Document Processing with CNNs. In Xiang Bai, Dimosthenis Karatzas, Daniel Lopresti (Eds.), Document Analysis Systems. (pp. 246-261).
Liu, C., Huang, Y., Maier, J., Klein, L., Kachelriess, M., & Maier, A. (2020). Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization. In Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization.
Luckner, C., Herbst, M., Fuhrmann, M., Ritschl, L., Kappler, S., & Maier, A. (2020). Combining 2-D and 3-D weight-bearing x-ray images: Application to preoperative implant planning in the knee. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 335-340). Berlin, DE: Springer.
Luckner, C., Weber, T., Herbst, M., Ritschl, L., Kappler, S., & Maier, A. (2020). A phantom study on dose efficiency for orthopedic applications: Comparing slot-scanning radiography using ultra-small-angle tomosynthesis to conventional radiography. Medical Physics. https://doi.org/10.1002/mp.14680
Marzahl, C., Aubreville, M., Bertram, C.A., Gerlach, S., Maier, J., Voigt, J.,... Maier, A. (2020). Is crowd-algorithm collaboration an advanced alternative to crowd-sourcing on cytology slides? In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 26-31). Berlin, DE: Springer.
Marzahl, C., Aubreville, M., Bertram, C.A., Stayt, J., Jasensky, A.K., Bartenschlager, F.,... Maier, A. (2020). Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-65958-2
Marzahl, C., Bertram, C.A., Aubreville, M., Petrick, A., Weiler, K., Gläsel, A.C.,... Maier, A. (2020). Are fast labeling methods reliable? a case study of computer-aided expert annotations on microscopy slides. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 24-32). Lima, PE: Springer Science and Business Media Deutschland GmbH.
Mayr, M., Stumpf, M., Nicolaou, A., Seuret, M., Maier, A., & Christlein, V. (2020). Spatio-Temporal Handwriting Imitation. In Springer, Cham (Eds.), Proceedings of the European Conference on Computer Vision (pp. 528-543). Online.
Meyer-Baese, A., Foo, S., Tahmassebi, A., Meyer-Baese, U., Amani, A.M., Götz, T.,... Pinker-Domenig, K. (2020). Large-Scale Graph Networks and AI Applied to Medical Image Data Processing. In COMPUTATIONAL IMAGING V. BELLINGHAM: SPIE-INT SOC OPTICAL ENGINEERING.
Miller, G.F., Vasquez Correa, J., & Nöth, E. (2020). Assessing the dysarthria level of parkinson’s disease patients with gmm-ubm supervectors using phonological posteriors and diadochokinetic exercises. In Petr Sojka, Ivan Kopecek, Karel Pala, Aleš Horák (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 356-365). Brno, CZ: Springer Science and Business Media Deutschland GmbH.
Nau, M.A., Nau, M., Moult, E.M., Fujimoto, J.G., & Maier, A. (2020). Open source simulation of fixational eye drift motion in oct scans: Towards better comparability and accuracy in retrospective OCT motion correction. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 254-259). Berlin, DE: Springer.
Orozco-Arroyave, J.R., Vasquez Correa, J., Klumpp, P., Perez Toro, P.A., Escobar-Grisales, D., Roth, N.,... Nöth, E. (2020). Apkinson: the smartphone application for telemonitoring Parkinson's patients through speech, gait and hands movement. Neurodegenerative Disease Management. https://doi.org/10.2217/nmt-2019-0037
Orozco-Arroyave, J.R., Vasquez Correa, J., & Nöth, E. (2020). Current methods and new trends in signal processing and pattern recognition for the automatic assessment of motor impairments: the case of Parkinson's disease. In Ayman El-Baz and Jasjit S Suri (Eds.), Neurological Disorders and Imaging Physics, Volume 5 Applications in dyslexia, epilepsy and Parkinson's. IOP.
Perez Toro, P.A., Vasquez Correa, J., Arias Vergara, T., Nöth, E., & Orozco-Arroyave, J.R. (2020). Nonlinear dynamics and Poincare sections to model gait impairments in different stages of Parkinson's disease. Nonlinear Dynamics, 100(4), 3253-3276. https://doi.org/10.1007/s11071-020-05691-7
Preuhs, A., Manhart, M., Roser, P., Hoppe, E., Huang, Y., Psychogios, M.,... Maier, A. (2020). Appearance Learning for Image-based Motion Estimation in Tomography. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/TMI.2020.3002695
Preuhs, A., Manhart, M., Roser, P., Stimpel, B., Syben-Leisner, C., Psychogios, M.,... Maier, A. (2020). Deep autofocus with cone-beam CT consistency constraint. In Proceedings of the Bildverarbeitung für die Medizin. Berlin, DE.
Pérez-Toro, P.A., Vasquez Correa, J., Arias Vergara, T., Nöth, E., & Orozco Arroyave, J.R. (2020). Nonlinear dynamics and Poincaré sections to model gait impairments in different stages of Parkinson’s disease. Nonlinear Dynamics. https://doi.org/10.1007/s11071-020-05691-7
Qiu, B., You, Y., Huang, Z., Meng, X., Jiang, Z., Zhou, C.,... Lu, Y. (2020). N2NSR-OCT: Simultaneous denoising and super-resolution in optical coherence tomography images using semisupervised deep learning. Journal of Biophotonics. https://doi.org/10.1002/jbio.202000282
Restrepo-Uribe, J.P., Roldan-Vasco, S., Perez-Giraldo, E., Orozco Arroyave, J.R., & Orozco-Duque, A. (2020). Electrophysiological and Mechanical Approaches to the Swallowing Analysis. In Juan Carlos Figueroa-García, Fabián Steven Garay-Rairán, Germán Jairo Hernández-Pérez, Yesid Díaz-Gutierrez (Eds.), Communications in Computer and Information Science (pp. 281-290). Bogota, CO: Springer Science and Business Media Deutschland GmbH.
Reymann, M., Massanes, F., Ritt, P., Cachovan, M., Kuwert, T., Vija, A.H., & Maier, A. (2020, November). Feature Loss After Denoising of SPECT Projection Data using a U-Net. Poster presentation at 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, Boston, Massachusetts, US.
Rios-Urrego, C.D., Vasquez Correa, J., Orozco Arroyave, J.R., & Nöth, E. (2020). Transfer learning to detect parkinson’s disease from speech in different languages using convolutional neural networks with layer freezing. In Petr Sojka, Ivan Kopecek, Karel Pala, Aleš Horák (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 331-339). Brno, CZ: Springer Science and Business Media Deutschland GmbH.
Rodriguez Salas, D., Mürschberger, N., Ravikumar, N., Seuret, M., & Maier, A. (2020). Mapping Ensembles of Trees to Sparse, Interpretable Multilayer Perceptron Networks. SN Computer Science, 1(5). https://doi.org/10.1007/s42979-020-00268-y
Rodriguez Salas, D., Ravikumar, N., Seuret, M., & Maier, A. (2020). ForestNet – Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees. In Pattern Recognition. Auckland, New Zealand, NZ: Springer International Publishing.
Roser, P., Birkhold, A., Preuhs, A., Kowarschik, M., Fahrig, R., & Maier, A. (2020). Tenfold your photons: A physically-sound approach to filtering-based variance reduction of monte-carlo-simulated dose distributions. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 113-118). Berlin, DE: Springer.
Roser, P., Birkhold, A., Preuhs, A., Ochs, P., Stepina, E., Strobel, N.,... Maier, A. (2020). XDose: toward online cross-validation of experimental and computational X-ray dose estimation. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-020-02298-6
Roser, P., Birkhold, A., Preuhs, A., Stimpel, B., Syben, C., Strobel, N.,... Maier, A. (2020). Fully-automatic CT data preparation for interventional X-ray skin dose simulation. In Informatik Aktuell Bildverarbeitung für die Medizin 2020 Algorithmen - Systeme - Anwendungen (pp. 1-6). Berlin, DE.
Roser, P., Birkhold, A., Preuhs, A., Syben-Leisner, C., Strobel, N., Kowarschik, M.,... Maier, A. (2020). Deep Scatter Splines: Learning-Based Medical X-ray Scatter Estimation Using B-splines. In Proceedings of the The 6th International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting). Regensburg (virtuell).
Roser, P., Zhong, X., Birkhold, A., Preuhs, A., Syben-Leisner, C., Hoppe, E.,... Maier, A. (2020). Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning. In Anne L. Marte, lPurang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. (pp. 199-208).
Schaffert, R., Wang, J., Fischer, P., Borsdorf, A., & Maier, A. (2020). Learning an Attention Model for Robust 2-D/3-D Registration Using Point-To-Plane Correspondences. IEEE Transactions on Medical Imaging, 39(10), 3159-3174. https://doi.org/10.1109/TMI.2020.2988410
Schaffert, R., Wang, J., Fischer, P., Borsdorf, A., & Maier, A. (2020). Learning-based misalignment detection for 2-D/3-D overlays. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 230-235). Berlin, DE: Springer.
Schaffert, R., Wang, J., Fischer, P., Maier, A., & Borsdorf, A. (2020). Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model. IEEE Transactions on Medical Imaging, 39(1), 161-174. https://doi.org/10.1109/TMI.2019.2922931
Schaffert, R., Weiß, M., Wang, J., Borsdorf, A., & Maier, A. (2020). Learning-based correspondence estimation for 2-D/3-D registration. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 222-228). Berlin, DEU: Springer.
Schirrmacher, F., Lorch, B., Stimpel, B., Köhler, T., & Riess, C. (2020). SR²: Super-Resolution With Structure-Aware Reconstruction. In Proceedings of the 2020 IEEE International Conference on Image Processing (ICIP) (pp. 533-537). Online.
Schirrmacher, F., Riess, C., & Köhler, T. (2020). Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems. IEEE Transactions on Computational Imaging, 6(1), 503--517. https://doi.org/10.1109/TCI.2019.2956888
Schmidkonz, C., Atzinger, A., Götz, T., Beck, M., Ritt, P., Prante, O.,... Cordes, M. (2020). 99mTc-MIP-1404 SPECT/CT for Patients With Metastatic Prostate Cancer: Interobserver and Intraobserver Variability in Treatment-Related Longitudinal Tracer Uptake Assessments of Prostate-Specific Membrane Antigen-Positive Lesions. Clinical Nuclear Medicine, 45(2), 105-112. https://doi.org/10.1097/RLU.0000000000002880
Schmidkonz, C., Krumbholz, M., Atzinger, A., Cordes, M., Götz, T., Prante, O.,... Metzler, M. (2020). Correction to: Assessment of treatment responses in children and adolescents with Ewing sarcoma with metabolic tumor parameters derived from 18F-FDG-PET/CT and circulating tumor DNA (European Journal of Nuclear Medicine and Molecular Imaging, (2019), 10.1007/s00259-019-04649-1). European Journal of Nuclear Medicine and Molecular Imaging. https://doi.org/10.1007/s00259-019-04672-2
Schneider, M., Benkert, T., Solomon, E., Nickel, D., Fenchel, M., Kiefer, B.,... Block, K.T. (2020). Free-breathing fat and R2∗ quantification in the liver using a stack-of-stars multi-echo acquisition with respiratory-resolved model-based reconstruction. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.28280
Schröter, H., Rosenkranz, T., Escalante Banuelos, A., Aubreville, M., & Maier, A. (2020). CLCNet: Deep learning-based noise reduction for hearing aids using complex linear coding. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona, ES.
Schröter, H., Rosenkranz, T., Escalante Banuelos, A., & Maier, A. (2020). CLC: Complex Linear Coding for the DNS 2020 Challenge.
Schröter, H., Rosenkranz, T., Escalante Banuelos, A., Zobel, P., & Maier, A. (2020). Lightweight Online Noise Reduction on Embedded Devices using Hierarchical Recurrent Neural Networks. In INTERSPEECH 2020. Shanghai, CN.
Schuller, B., Batliner, A., Bergler, C., Messner, E.-M., Hamilton, A., Amiriparian, S.,... Hantke, S. (2020). The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 (pp. 2042-2046). Shanghai, China: International Speech Communication Association.
Seifer, A.-K., Schinkel-Bielefeld, N., Schröter, H., Escalante Banuelos, A., Hoppe, U., & Maier, A. (2020). Predicting Hearing Aid Fittings Based on Audiometric and Subject-Related Data: A Machine Learning Approach. In Virtual Conference on Computational Audiology (VCCA2020). Virtual.
Seuret, M., Nicolaou, A., Stutzmann, D., Maier, A., & Christlein, V. (2020). ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments. In IEEE (Eds.), Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition (ICFHR) (pp. 216-221). Dortmund, DE.
Syben-Leisner, C., Stimpel, B., Roser, P., Dörfler, A., & Maier, A. (2020). Known Operator Learning enables Constrained Projection Geometry Conversion: Parallel to Cone-beam for Hybrid MR/X-ray Imaging. IEEE Transactions on Medical Imaging, 1-1. https://doi.org/10.1109/TMI.2020.2998179
Taylor, R.W., Holler, C., Mahmoodabadi, R.G., Küppers, M., Mirzaalian Dastjerdi, H., Zaburdaev, V.,... Sandoghdar, V. (2020). High-Precision Protein-Tracking With Interferometric Scattering Microscopy. Frontiers in Cell and Developmental Biology, 8. https://doi.org/10.3389/fcell.2020.590158
Thamm, F., Jürgens, M., Ditt, H., & Maier, A. (2020). VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data. In K. Nieselt and R. G. Raidou (Eds.), Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 5). Uni Tübingen, DE.
Vasquez Correa, J., Arias Vergara, T., Schuster, M., Orozco Arroyave, J.R., & Nöth, E. (2020). Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson's Disease and Cleft Lip and Palate. Speech Communication, 122, 56-67. https://doi.org/10.1016/j.specom.2020.07.005
Vasquez Correa, J., Bocklet, T., Orozco Arroyave, J.R., & Nöth, E. (2020). Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson’s Disease Patients. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona, ES: IEEE.
Vesal, S., Gu, M., Maier, A., & Ravikumar, N. (2020). Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/JBHI.2020.3046449
Xu, Y., Hoppe, E., Speier, P., Kluge, T., Nittka, M., Koerzdoerfer, G., & Maier, A. (2020). Learning how to Clean Fingerprints -- Deep Learning based Separated Artefact Reduction and Regression for MR Fingerprinting. In Proceedings of the ISMRM Workshop on Data Sampling & Image Reconstruction. Sedona, US.
Xu, Y., Hoppe, E., Speier, P., Kluge, T., Nittka, M., Koerzdoerfer, G., & Maier, A. (2020). Learning how to Clean Fingerprints -- Deep Learning based Separated Artefact Reduction and Regression for MR Fingerprinting. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition. Sydney, AU.
Yang, K., Zhai, X., Xie, Z., Zhou, K., Meng, X., Ren, Q., & Lu, Y. (2020). A practical calibration criterion for image-based material decomposition in spectral computed tomography. AEJ - Alexandria Engineering Journal. https://dx.doi.org/10.1016/j.aej.2020.03.009
Yoon, S.S., Hoppe, E., Schmidt, M., Forman, C., Chitiboi, T., Sharma, P.,... Wetzl, J. (2020). A Robust Deep-Learning-based Automated Cardiac Resting Phase Detection: Validation in a Prospective Study. Poster presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition, Sydney, AU.

Prof. Dr. Andreas Maier

Research projects

A multimodal approach for automatic generation of radiology reports using chest X-ray images, clinical free-text, and spoken commands.

Self-Supervised Learning on Chest X-Rays to improve classification and localization

2025

2024

2023

2022

2021

2020

Related Research Fields

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Research projects

Current projects

A multimodal approach for automatic generation of radiology reports using chest X-ray images, clinical free-text, and spoken commands.

Self-Supervised Learning on Chest X-Rays to improve classification and localization

Recent publications

2025

2024

2023

2022

2021

2020

Related Research Fields

Contact: