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High-resolution 3D abdominal segmentation with random patch network fusion., , , , , , , , , and 4 other author(s). Medical Image Anal., (2021)Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision., , , , , , , , , and 2 other author(s). CoRR, (2019)Privacy Threats Against Federated Matrix Factorization., , , , and . CoRR, (2020)Microscopy image focus quality assessment by overlapping tile analysis., , , , and . ISBI, page 1129-1132. IEEE, (2010)The discriminant center-surround hypothesis for bottom-up saliency., , and . NIPS, page 497-504. Curran Associates, Inc., (2007)Bronchus Segmentation and Classification by Neural Networks and Linear Programming., , , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 230-239. Springer, (2019)Volumetric Attention for 3D Medical Image Segmentation and Detection., , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 175-184. Springer, (2019)Validation and optimization of multi-organ segmentation on clinical imaging archives., , , , , , , , , and 2 other author(s). Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113132O. SPIE, (2020)Bottom-up saliency is a discriminant process., and . ICCV, page 1-6. IEEE Computer Society, (2007)Action Recognition from Experience., , and . AVSS, page 124-129. IEEE Computer Society, (2012)