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Segmentation of Breast MRI Scans in the Presence of Bias Fields.

, , and . ICIAR (1), volume 11662 of Lecture Notes in Computer Science, page 376-387. Springer, (2019)

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Segmentation of Tracking Sequences Using Dynamically Updated Adaptive Learning., and . IEEE Trans. Image Processing, 17 (12): 2403-2412 (2008)2D X-Ray Mammogram and 3D Breast MRI Registration., and . MICCAI (6), volume 12266 of Lecture Notes in Computer Science, page 150-159. Springer, (2020)Robust extensions to guided image filtering.. Image Processing: Algorithms and Systems, page 1-6. Society for Imaging Science and Technology, (2016)Self-supervised Learning of Inverse Problem Solvers in Medical Imaging., , , , , and . DART/MIL3ID@MICCAI, volume 11795 of Lecture Notes in Computer Science, page 111-119. Springer, (2019)Segmentation of Breast MRI Scans in the Presence of Bias Fields., , and . ICIAR (1), volume 11662 of Lecture Notes in Computer Science, page 376-387. Springer, (2019)Learning beamforming in ultrasound imaging., , , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 493-511. PMLR, (2019)Segmentation of Medical Ultrasound Images using Active Contours., and . ICIP (5), page 513-516. IEEE, (2007)Function-Valued Mappings, Total Variation and Compressed Sensing for diffusion MRI., , and . ICIAR (2), volume 7325 of Lecture Notes in Computer Science, page 286-295. Springer, (2012)Iterative Shrinkage Approach to Restoration of Optical Imagery, and . CoRR, (2009)Derivative compressive sampling with application to phase unwrapping., and . EUSIPCO, page 115-119. IEEE, (2009)