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A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging., , , , , , , , и . EMBC, стр. 5412-5415. IEEE, (2012)Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines, , , , , , , , , и 730 other автор(ы). Cell Systems, 6 (3): 271--281.e7 (марта 2018)A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI., , , , , , , , , и 2 other автор(ы). MICCAI (2), том 11071 из Lecture Notes in Computer Science, стр. 930-939. Springer, (2018)Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy., , , , , , , , , и 3 other автор(ы). MICCAI (1), том 9900 из Lecture Notes in Computer Science, стр. 653-661. (2016)Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer., , , , , , , , , и 1 other автор(ы). Computer-Aided Diagnosis, том 9414 из SPIE Proceedings, стр. 94140S. SPIE, (2015)MRI-Guided Robotically Assisted Focal Laser Ablation of the Prostate Using Canine Cadavers., , , , , , , , и . IEEE Trans. Biomed. Eng., 65 (7): 1434-1442 (2018)Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images., , , , , и . MICCAI (3), том 7512 из Lecture Notes in Computer Science, стр. 582-589. Springer, (2012)Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization., , , , , , , , и . MICCAI (1), том 12261 из Lecture Notes in Computer Science, стр. 572-581. Springer, (2020)Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI., , , , , , , , и . ISBI, стр. 642-645. IEEE, (2017)A motorized ultrasound system for MRI-ultrasound fusion guided prostatectomy., , , и . Image-Guided Procedures, том 9786 из SPIE Proceedings, стр. 97862H. SPIE, (2016)