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A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI.

, , , , , , , , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 930-939. Springer, (2018)

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Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI., , , , , , , , and . ISBI, page 642-645. IEEE, (2017)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)Computational modeling towards focused ultrasound therapy for spinal cord injury: visualization of beam propagation through patient-specific anatomy., , , , , , , and . Image-Guided Procedures, volume 12466 of SPIE Proceedings, SPIE, (2023)Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images., , , , , , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 388-397. (2016)Between-tumor and within-tumor heterogeneity in invasive potential., , , , and . PLoS Comput. Biol., (2020)Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images., , , , , , , , and . Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013405. SPIE, (2017)