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Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status.

, , , и . MICCAI (3), том 10435 из Lecture Notes in Computer Science, стр. 3-11. Springer, (2017)

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Wei Shen

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Tissue probability map constrained CLASSIC for increased accuracy and robustness in serial image segmentation., , и . Medical Imaging: Image Processing, том 7259 из SPIE Proceedings, стр. 725904. SPIE, (2009)BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks., , , и . CoRR, (2018)3-D statistical cancer atlas-based targeting of prostate biopsy using ultrasound image guidance., , , , , , , и . Medical Imaging: Image Processing, том 6914 из SPIE Proceedings, стр. 69142X. SPIE, (2008)Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis., , и . Neuroinformatics, 12 (3): 381-394 (2014)Corrigendum to "Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth" NeuroImage 46 (2009) 762-774., , , , и . NeuroImage, 47 (2): 779 (2009)Improving Parenchyma Segmentation by Simultaneous Estimation of Tissue Property T1 Map and Group-Wise Registration of Inversion Recovery MR Breast Images., , , , и . MICCAI (1), том 5241 из Lecture Notes in Computer Science, стр. 342-350. Springer, (2008)Hierarchical Shape Statistical Model for Segmentation of Lung Fields in Chest Radiographs., и . MICCAI (1), том 5241 из Lecture Notes in Computer Science, стр. 417-424. Springer, (2008)Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration., , , , и . MICCAI (1), том 11070 из Lecture Notes in Computer Science, стр. 739-746. Springer, (2018)Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images., , , , , и . MICCAI (2), том 8150 из Lecture Notes in Computer Science, стр. 649-656. Springer, (2013)Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation., , , и . MICCAI (2), том 8150 из Lecture Notes in Computer Science, стр. 254-261. Springer, (2013)