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Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study.

, , , , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (6): 947-956 (2016)

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A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging., , , , , , , , and . EMBC, page 5412-5415. IEEE, (2012)A Framework for the Design of a Novel Haptic-Based Medical Training Simulator., , , and . IEEE Trans. Information Technology in Biomedicine, 12 (5): 658-666 (2008)Experimental Identification and Analysis of the Dynamics of a PHANToM Premium 1.5A Haptic Device., , and . Presence Teleoperators Virtual Environ., 17 (4): 327-343 (2008)Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations., , , , , , , , , and 6 other author(s). Int. J. Comput. Assist. Radiol. Surg., 12 (8): 1293-1305 (2017)Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy., , , , , , , , , and 3 other author(s). MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 653-661. (2016)Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study., , , , , , , , , and 5 other author(s). Int. J. Comput. Assist. Radiol. Surg., 10 (6): 727-735 (2015)Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning., , , , , , , , , and . J. Digital Imaging, 32 (1): 6-18 (2019)A New Approach for Creating Customizable Cytoarchitectonic Probabilistic Maps without a Template., , , , , , and . MICCAI (1), volume 5762 of Lecture Notes in Computer Science, page 795-802. Springer, (2009)A Haptic-based Ultrasound Training/Examination System (HUTES)., , and . ICRA, page 3130-3131. IEEE, (2007)Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy., , , , , , , , , and 5 other author(s). Int. J. Comput. Assist. Radiol. Surg., 13 (8): 1201-1209 (2018)