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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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Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study., , , , , , , , , and 4 other author(s). IEEE Trans. Med. Imaging, 34 (11): 2248-2257 (2015)Automatic cancer detection and localization on prostatectomy histopathology images., , , , , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810Q. SPIE, (2018)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)Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study., , , , , , , , , and 5 other author(s). Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 97860K. SPIE, (2016)Tissue block MRI for slice orientation-independent registration of digital histology images to ex vivo MRI of the prostate., , , , , , and . ISBI, page 566-569. IEEE, (2011)Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement., , , , , , , and . Medical Imaging: Digital Pathology, volume 8676 of SPIE Proceedings, page 86760F. SPIE, (2013)Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification., , , , , , , and . IEEE Trans. Med. Imaging, 32 (10): 1804-1818 (2013)A dimensionless dynamic contrast enhanced MRI parameter for intra-prostatic tumour target volume delineation: initial comparison with histology., , , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 9036 of SPIE Proceedings, page 90362I. SPIE, (2014)Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study., , , , , , , , , and 4 other author(s). MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 279-286. Springer, (2013)Evaluating texture-based prostate cancer classification on multi-parametric magnetic resonance imaging and prostate specific membrane antigen positron emission tomography., , , , , , , , , and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)