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My main research focus lies in the development of deep learning and deformable image registration. During the last years, I mainly worked on CT and MRI registration and segmentation, but I am also very interested in multi-modal image learning. In my work, I always aim to develop methods that are computational very efficient and also widely applicable. Previously, I developed novel descriptor-based image representations, which can improve the robustness and accuracy of a large variety of medical image registration tasks. Further, I developed discrete optimisation strategies, which can greatly reduce the time needed for deformable image registration to less than a minute, making the software useful for time-sensitive applications and large datasets.
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论文共 178 篇作者统计合作学者相似作者
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International Journal of Computer Assisted Radiology and Surgeryno. 4 (2024): 1-9
MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2023 (2024): 268-280
INFORMATIONno. 2 (2024): 120
MEDICAL IMAGING 2023 (2023)
BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2022 (2023): 252-261
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT X (2023): 677-687
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