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Towards enabling ultrasound guidance in cervical cancer high-dose-rate brachytherapy., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 9036 of SPIE Proceedings, page 90361Q. SPIE, (2014)Prostate cancer detection from model-free T1-weighted time series and diffusion imaging., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94142X. SPIE, (2015)Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study., , , , , , , , , and 9 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97851K. SPIE, (2016)Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis., , , , , , , , , and 6 other author(s). IEEE Trans. Biomed. Eng., 62 (7): 1796-1804 (2015)Motion and deformation compensation for freehand prostate biopsies., , , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 9036 of SPIE Proceedings, page 903620. SPIE, (2014)Training deep neural networks with noisy clinical labels: toward accurate detection of prostate cancer in US data., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 17 (9): 1697-1705 (2022)Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels., , , , , , , , and . MICCAI (8), volume 12908 of Lecture Notes in Computer Science, page 680-689. Springer, (2021)Complex Cancer Detector: Complex Neural Networks on Non-stationary Time Series for Guiding Systematic Prostate Biopsy., , , , , , , , , and . MICCAI (3), volume 12263 of Lecture Notes in Computer Science, page 524-533. Springer, (2020)Statistical Biomechanical Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions., , , , , , , , , and 5 other author(s). IEEE Trans. Medical Imaging, 34 (12): 2535-2549 (2015)Biomechanically Constrained Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions., , , , , , , , , and 5 other author(s). IEEE Trans. Medical Imaging, 34 (11): 2404-2414 (2015)