We develop novel technology and analysis methods for medical imaging to offer more bespoke and eloquent information for medical diagnosis and decision making. Combining MR physics and real-time AI allows for a more efficient, motion-robust and individual imaging. We work in close collaboration with clinicians, biologists, computer scientists and engineers – always looking for challenging questions to contribute to.
Research projects
Novel MR technology to use the internal motion of our organs – peristaltic motion – for diagnostic insights (peristalsis in Real-Time Human MRI to study the interwoven frequency & microstructural properties, EARTHWORM)
Motion-robust and self-driving MRI (MRI Examination Enhanced by Real-time Knowledge during acquisition time, MEERKAT)
Non-invasive image to unravel novel information on the etiology of adenomyosis (Imaging and Modeling Adenomyosis Lesions and Adjacent microenvironments, IMPALA)
Increasing the success rate of unsedated MRI in children (Children-Oriented Real-time MRI Acquisition, COBRA)
EARTHWORM: pEristAlsis in Real-Time Human mri to study the interWOven fRequency & Microstructural properties
(Third Party Funds Single)
Term: 1. December 2024 - 30. November 2029 Funding source: Europäische Union (EU)
Bortolazzi, A., Verdera, J.A., Payette, K., Silva, S.N., Rutherford, M., Hajnal, J., & Hutter, J. (2025). Automatic Assessment of Fetal Multi-echo Diffusion Weighted Scans. In Daphna Link-Sourani, Esra Abaci Turk, Christopher Macgowan, Jana Hutter, Andrew Melbourne, Jana Hutter, Roxane Licandro (Eds.), Perinatal, Preterm and Paediatric Image Analysis. 9th International Workshop, PIPPI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings (pp. 82-93). Marrakesh, MA: Cham: Springer.
Kitzberger, M., Silva, S.N., Verdera, J.A., Rojas, D.F., Uus, A., Schulz-Heise, S.,... Hutter, J. (2025). Automatic Disentanglement of Motion in Fetal Low Field MRI Scans. In Daphna Link-Sourani, Esra Abaci Turk, Christopher Macgowan, Jana Hutter, Andrew Melbourne, Jana Hutter, Roxane Licandro (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 24-34). Marrakesh, MA: Springer Science and Business Media Deutschland GmbH.
Alena, U.U., Ayub, M.-U., Gartner, A., Kyriakopoulou, V., Pietsch, M., Grigorescu, I.,... Deprez, M. (2022). Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts. In Roxane Licandro, Roxane Licandro, Andrew Melbourne, Jana Hutter, Esra Abaci Turk, Christopher Macgowan (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 94-104). Singapore, SGP: Springer Science and Business Media Deutschland GmbH.
Aviles, J., Colford, K., Hall, M., Marenzana, M., Uus, A., Giles, S.,... Hutter, J. (2022). A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field. In Roxane Licandro, Roxane Licandro, Andrew Melbourne, Jana Hutter, Esra Abaci Turk, Christopher Macgowan (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 13-24). Singapore, SGP: Springer Science and Business Media Deutschland GmbH.
Grigorescu, I., Uus, A., Christiaens, D., Cordero-Grande, L., Hutter, J., Batalle, D.,... Deprez, M. (2022). Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data. In Roxane Licandro, Roxane Licandro, Andrew Melbourne, Jana Hutter, Esra Abaci Turk, Christopher Macgowan (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 71-81). Singapore, SGP: Springer Science and Business Media Deutschland GmbH.
Grigorescu, I., Uus, A., Christiaens, D., Cordero-Grande, L., Hutter, J., Batalle, D.,... Deprez, M. (2021). Uncertainty-Aware Deep Learning Based Deformable Registration. In Carole H. Sudre, Roxane Licandro, Christian Baumgartner, Andrew Melbourne, Adrian Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents Barrena, William M. Wells, Christopher Macgowan (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 54-63). Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Heinsalu, R., Williams, L., Ranjan, A., Zampieri, C.A., Uus, A., Robinson, E.C.,... Hutter, J. (2021). Predicting Preterm Birth Using Multimodal Fetal Imaging. In Carole H. Sudre, Roxane Licandro, Christian Baumgartner, Andrew Melbourne, Adrian Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents Barrena, William M. Wells, Christopher Macgowan (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 284-293). Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Uus, A., Pietsch, M., Grigorescu, I., Christiaens, D., Tournier, J.-D., Grande, L.C.,... Deprez, M. (2020). Multi-channel registration for diffusion mri: longitudinal analysis for the neonatal brain. In Ziga Spiclin, Jamie McClelland, Jan Kybic, Orcun Goksel (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 111-121). Portoroz, SVN: Springer.
We develop novel technology and analysis methods for medical imaging to offer more bespoke and eloquent information for medical diagnosis and decision making. Combining MR physics and real-time AI allows for a more efficient, motion-robust and individual imaging. We work in close collaboration with clinicians, biologists, computer scientists and engineers – always looking for challenging questions to contribute to.
Research projects
EARTHWORM: pEristAlsis in Real-Time Human mri to study the interWOven fRequency & Microstructural properties
(Third Party Funds Single)
Funding source: Europäische Union (EU)
Self-driving MRI
(Third Party Funds Single)
Funding source: DFG-Einzelförderung / Heisenberg-Programm (EIN-HEI)
2025
2024
2023
2022
2021
2020
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