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Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks.

, , , , , , , , , , , , , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 70-77. Springer, (2015)

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Pilot study for supervised target detection applied to spatially registered multiparametric MRI in order to non-invasively score prostate cancer., , , , and . Comput. Biol. Medicine, (2018)Development of an ATM-based radiology consultation workstation for radiotherapy treatment planning., , , , , , , , , and . Medical Imaging: Image Processing, volume 3031 of SPIE Proceedings, SPIE, (1997)Federated learning improves site performance in multicenter deep learning without data sharing., , , , , , , , , and 9 other author(s). J. Am. Medical Informatics Assoc., 28 (6): 1259-1264 (2021)A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging., , , , , , , , and . EMBC, page 5412-5415. IEEE, (2012)Multi-Domain Image Completion for Random Missing Input Data., , , , , , , , , and 2 other author(s). CoRR, (2020)Prostate Segmentation in MR Images Using Discriminant Boundary Features., , , , and . IEEE Trans. Biomed. Eng., 60 (2): 479-488 (2013)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)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)A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI., , , , , , , , , and 2 other author(s). MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 930-939. Springer, (2018)A Comparison of Pharmacokinetic Models of Dynamic Contrast Enhanced MRI., , , and . CBMS, page 361-366. IEEE Computer Society, (2004)