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Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts.

, , , , , , , , , , , , , , , and . Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410N. SPIE, (2014)

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Prostate lesion detection and localization based on locality alignment discriminant analysis., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101344A. SPIE, (2017)Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts., , , , , , , , , and 6 other author(s). Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410N. SPIE, (2014)A Graph-Based Multi-kernel Feature Weight Learning Framework for Detection and Grading of Prostate Lesions Using Multi-parametric MR Images., , , , , , , , , and . ACPR, page 658-663. IEEE Computer Society, (2017)Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging., , , , , and . J. Digit. Imaging, 30 (6): 782-795 (2017)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)Accuracy and variability of tumor burden measurement on multi-parametric MRI., , , , , , , , , and 3 other author(s). Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410I. SPIE, (2014)A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging., , , , , , , , , and . Comput. Biol. Medicine, (2018)