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Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study.

, , , , , , , , , , , , , and . IEEE Trans. Med. Imaging, 34 (11): 2248-2257 (2015)

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Texture analysis of automatic graph cuts segmentations for detection of lung cancer recurrence after stereotactic radiotherapy., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 941719. SPIE, (2015)Registration Accuracy: How Good Is Good Enough? A Statistical Power Calculation Incorporating Image Registration Uncertainty., , and . MICCAI (2), volume 7511 of Lecture Notes in Computer Science, page 643-650. Springer, (2012)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)Biomechanically Constrained Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions., , , , , , , , , and 5 other author(s). IEEE Trans. Med. Imaging, 34 (11): 2404-2414 (2015)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)Assessment of registration accuracy in three-dimensional transrectal ultrasound images of prostates., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 7625 of SPIE Proceedings, page 762516. SPIE, (2010)Statistical Biomechanical Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions., , , , , , , , , and 5 other author(s). IEEE Trans. Med. Imaging, 34 (12): 2535-2549 (2015)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)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)