Peter C. Black
Affiliations:- University of British Columbia, Department of Urologic Sciences, Vancouver, BC, Canada
According to our database1,
Peter C. Black
authored at least 24 papers
between 2013 and 2023.
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Bibliography
2023
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
Robotically controlled three-dimensional micro-ultrasound for prostate biopsy guidance.
Int. J. Comput. Assist. Radiol. Surg., 2023
2022
Coarse label refinement for improving prostate cancer detection in ultrasound imaging.
Int. J. Comput. Assist. Radiol. Surg., 2022
Training deep neural networks with noisy clinical labels: toward accurate detection of prostate cancer in US data.
Int. J. Comput. Assist. Radiol. Surg., 2022
Towards targeted ultrasound-guided prostate biopsy by incorporating model and label uncertainty in cancer detection.
Int. J. Comput. Assist. Radiol. Surg., 2022
Uncertainty-Aware Deep Ensemble Model For Targeted Ultrasound-Guided Prostate Biopsy.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Co-generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Characterizing The Uncertainty Of Label Noise In Systematic Ultrasound-Guided Prostate Biopsy.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images - Role of Multiscale Decision Aggregation and Data Augmentation.
IEEE J. Biomed. Health Informatics, 2020
A partial augmented reality system with live ultrasound and registered preoperative MRI for guiding robot-assisted radical prostatectomy.
Medical Image Anal., 2020
Improving prostate cancer classification in H&E tissue micro arrays using Ki67 and P63 histopathology.
Comput. Biol. Medicine, 2020
Evaluation of a marker-less, intra-operative, augmented reality guidance system for robot-assisted laparoscopic radical prostatectomy.
Int. J. Comput. Assist. Radiol. Surg., 2020
Multiple instance learning combined with label invariant synthetic data for guiding systematic prostate biopsy: a feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2020
Complex Cancer Detector: Complex Neural Networks on Non-stationary Time Series for Guiding Systematic Prostate Biopsy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2018
IEEE Trans. Medical Imaging, 2018
Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts.
Medical Image Anal., 2018
2015
Statistical Biomechanical Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions.
IEEE Trans. Medical Imaging, 2015
A System for MR-Ultrasound Guidance during Robot-Assisted Laparoscopic Radical Prostatectomy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Multimodal classification of prostate tissue: a feasibility study on combining multiparametric MRI and ultrasound.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
Filter-Based Speckle Tracking for Freehand Prostate Biopsy: Theory, ex vivo and in vivo Results.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2014
2013
Ultrasound-Based Image Guidance for Robot-Assisted Laparoscopic Radical Prostatectomy: Initial in-vivo Results.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2013