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A patient specific 4D MRI liver motion model based on sparse imaging and registration., , , and . Medical Imaging: Image-Guided Procedures, volume 8671 of SPIE Proceedings, page 86710S. SPIE, (2013)Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning., , , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 315-325. PMLR, (2019)Registration of multi-view apical 3D echocardiography images., , , , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79621W. SPIE, (2011)Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks., , , , and . CoRR, (2020)Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge., , , , , , , , , and 9 other author(s). Medical Image Anal., (2019)Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors., , , , , , , , , and 2 other author(s). CoRR, (2020)Rib Detection in 3D MRI Using Dynamic Programming Based on Vesselness and Ridgeness., , , and . Abdominal Imaging, volume 8198 of Lecture Notes in Computer Science, page 212-220. Springer, (2013)Supervised quality assessment of medical image registration: Application to intra-patient CT lung registration., , , and . Medical Image Anal., 16 (8): 1521-1531 (2012)Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI., , , , , , , , , and 41 other author(s). NeuroImage, (2022)The truth is hard to make: Validation of medical image registration., , , and . ICPR, page 2294-2300. IEEE, (2016)