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Active appearance model and deep learning for more accurate prostate segmentation on MRI., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97842I. SPIE, (2016)Atlas based AAM and SVM model for fully automatic MRI prostate segmentation., , , , , , , , , and 3 other author(s). EMBC, page 2881-2585. IEEE, (2014)Multi-Task Learning for Registering Images With Large Deformation., , , and . IEEE J. Biomed. Health Informatics, 25 (5): 1624-1633 (2021)Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect., , , , and . Complex., (2018)Deeply-Supervised CNN for Prostate Segmentation., , , , and . CoRR, (2017)Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates., , , , , , , , and . Prostate Cancer Imaging, volume 6367 of Lecture Notes in Computer Science, page 52-62. Springer, (2010)Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging., , , , , , , , , and . ISBI, page 438-441. IEEE, (2020)A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning., , , , , and . Medical Image Anal., (2019)Global structure constrained local shape prior estimation for medical image segmentation., , , , and . Comput. Vis. Image Underst., 117 (9): 1017-1026 (2013)Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging., , , , , , , , , and 9 other author(s). CoRR, (2024)