Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
566-06-009 ISMRM Abstract

Comprehensive Deep-Learning-Based Assessment of Quantitative Magnetic Resonance Imaging in patients with Dystrophinopathies

Accepted
Dianzhe Tian1,2, Xiaohong Huang3, Xinying Huang1, Bo Hou1, Francesco Santini 4, Jinxia ZHU5, xiaoming Liu5, Tom Hilbert6,7,8, Tobias Kober9, Yi Dai3, Fengdan Wang1
1department of radiology, Peking Union Medical College Hospital, Beijing, China
2Eight-year Medical Doctor Program, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
3Department of Neurology, Peking Union Medical College Hospital, Beijing, China
4University of Basel Hospital, Basel, Switzerland
5MR Research Collaboration, Siemens Healthineers Ltd., Beijing, China
6Swiss Innovation Hub, Siemens Healthineers International AG, Lausanne, Switzerland
7LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
8Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
9Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany
Presenting Author: Francesco Santini

Synopsis

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References

1. doi: 10.1073/pnas.82.14.4778 [doi]
2. doi: 10.1038/328434a0 [doi]
3. doi: 10.1007/s12519-017-0036-3 [doi]
4. doi: 10.1002/ana.23528 [doi]
5. doi: 10.1542/peds.2014-2044 [doi]
6. doi: 10.1016/j.nmd.2014.03.008 [doi]
7. doi: 10.1016/S1474-4422(18)30024-3 [doi]
8. doi: 10.1016/S1474-4422(22)00125-9 [doi]
9. doi: 10.1212/WNL.0000000000009012 [doi]
10. doi: 10.1148/ryai.240097 [doi]
11. doi: 10.1007/s00330-022-09254-9 [doi]

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