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Individual muscle segmentation in MR images: A 3D propagation through 2D non-linear registration approaches.

, , , , and . EMBC, page 317-320. IEEE, (2017)

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Individual muscle segmentation in MR images: A 3D propagation through 2D non-linear registration approaches., , , , and . EMBC, page 317-320. IEEE, (2017)Deep Spatio-Temporal Multiplex Graph Learning for Cardiac Imaging Classification., , , , , and . ICASSP, page 1-5. IEEE, (2023)Characterization of surface motion patterns in highly deformable soft tissue organs from dynamic Magnetic Resonance Imaging., , , and . CoRR, (2020)Three-dimensional reconstruction and characterization of bladder deformations., , and . CoRR, (2023)Characterization of surface motion patterns in highly deformable soft tissue organs from dynamic MRI: An application to assess 4D bladder motion., , , and . Comput. Methods Programs Biomed., (2022)Four-dimensional reconstruction and characterization of bladder deformations., , and . Comput. Methods Programs Biomed., (July 2023)Combining loss functions for deep learning bladder segmentation on dynamic MRI., , , and . BHI, page 1-4. IEEE, (2021)3D Dynamic MRI for Pelvis Observation - a First Step., , , and . ISBI, page 1801-1804. IEEE, (2019)A new geodesic-based feature for characterization of 3D shapes: application to soft tissue organ temporal deformations., , , and . ICPR, page 3822-3828. IEEE, (2020)