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Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests.

, , , , , and . IEEE Trans. Med. Imaging, 35 (6): 1532-1543 (2016)

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Comparison of User-Directed and Automatic Mapping of the Planned Isocenter to Treatment Space for Prostate IGRT., , , , , , , , , and 2 other author(s). Int. J. Biomedical Imaging, (2013)Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy., , , , , , , and . IEEE Trans. Medical Imaging, 42 (4): 1046-1055 (April 2023)Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis., , , , , and . MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 627-635. (2016)Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image., , , , , , , and . MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 470-479. Springer, (2020)OPTIK: a database for understanding catchment areas to guide mobilization of cancer center assets., , , , , , , and . Database J. Biol. Databases Curation, (2020)Machine learning and statistical prediction of patient quality-of-life after prostate radiation therapy., , , , , , , and . Comput. Biol. Medicine, (2021)Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests., , , , , and . IEEE Trans. Med. Imaging, 35 (6): 1532-1543 (2016)Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images., , , , , , , , , and . Medical Image Anal., (2021)