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Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study.

, , , , , , , , , , , , , and . MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 279-286. Springer, (2013)

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Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier., , , , , and . PSB, page 160-171. (2019)iPINBPA: An Integrative Network-Based Functional Module Discovery Tool for Genome-Wide Association Studies., , and . Pacific Symposium on Biocomputing, page 255-266. (2015)Intraoperative integration of structured light scanning for automatic tissue classification: a feasibility study., , , and . Int. J. Comput. Assist. Radiol. Surg., 15 (4): 641-649 (2020)Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound., , , , , , , , , and 2 other author(s). IEEE Trans. Med. Imaging, 37 (12): 2695-2703 (2018)Perioperative margin detection in basal cell carcinoma using a deep learning framework: a feasibility study., , , , , , , , , and 1 other author(s). Int. J. Comput. Assist. Radiol. Surg., 15 (5): 887-896 (2020)A neural network based modeling and validation approach for identifying gene regulatory networks., , and . Neurocomputing, 73 (13-15): 2419-2429 (2010)SimITK: Visual Programming of the ITK Image-Processing Library within Simulink., , , and . J. Digital Imaging, 27 (2): 220-230 (2014)Enhanced multi-site EMG-force estimation using contact pressure., , , and . EMBC, page 3098-3101. IEEE, (2012)Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study., , , , , , , , , and 4 other author(s). MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 279-286. Springer, (2013)Biomechanically Constrained Groupwise Statistical Shape Model to Ultrasound Registration of the Lumbar Spine., , , , and . IPCAI, volume 6689 of Lecture Notes in Computer Science, page 47-54. Springer, (2011)