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MR prostate segmentation via distributed discriminative dictionary (DDD) learning.

, , , , and . ISBI, page 868-871. IEEE, (2013)

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Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks., , , , and . LABELS/DLMIA@MICCAI, volume 10008 of Lecture Notes in Computer Science, page 170-178. (2016)Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis., , , , and . IEEE Trans. Med. Imaging, 35 (12): 2524-2533 (2016)Learning to Rank Atlases for Multiple-Atlas Segmentation., , , and . IEEE Trans. Med. Imaging, 33 (10): 1939-1953 (2014)A learning-based CT prostate segmentation method via joint transductive feature selection and regression., , , , , and . Neurocomputing, (2016)STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation., , , , and . IEEE Trans. Neural Netw. Learning Syst., 30 (5): 1552-1564 (2019)Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests., , , , and . Patch-MI@MICCAI, volume 9467 of Lecture Notes in Computer Science, page 19-27. Springer, (2015)Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life., , , , , and . MLMI@MICCAI, volume 10019 of Lecture Notes in Computer Science, page 36-44. (2016)Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization., , , and . MLMI, volume 8679 of Lecture Notes in Computer Science, page 264-271. Springer, (2014)Soft-Split Random Forest for Anatomy Labeling., , , , and . MLMI, volume 9352 of Lecture Notes in Computer Science, page 17-25. Springer, (2015)Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy., , , , and . MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 1-9. (2016)