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Paul Malcolm
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2020 – today
- 2020
- [j2]Ufuk Cem Birbiri, Azam Hamidinekoo, Amélie Grall, Paul Malcolm, Reyer Zwiggelaar:
Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation. J. Imaging 6(9): 83 (2020)
2010 – 2019
- 2019
- [j1]Alexander J. Procter, Julia Y. Sun, Paul N. Malcolm, Andoni Toms:
Measuring liver fat fraction with complex-based chemical shift MRI: the effect of simplified sampling protocols on accuracy. BMC Medical Imaging 19(1): 14:1-14:9 (2019) - [c9]Amélie Grall, Azam Hamidinekoo, Paul Malcolm, Reyer Zwiggelaar:
Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation. MIUA 2019: 15-25 - 2018
- [c8]Zobia Suhail, Arif Mahmood, Liping Wang, Paul N. Malcolm, Reyer Zwiggelaar:
A Voting-Based Encoding Technique for the Classification of Gleason Score for Prostate Cancers. MIUA 2018: 74-83 - [c7]Ahmad Aal-Yhia, Paul Malcolm, Otar Akanyeti, Reyer Zwiggelaar, Bernard Tiddeman:
Groupwise Non-rigid Image Alignment With Graph-based Initialisation. CGVC 2018: 15-21 - 2016
- [c6]Andrik Rampun, Liping Wang, Paul Malcolm, Reyer Zwiggelaar:
A Quantitative Study of Texture Features across Different Window Sizes in Prostate T2-weighted MRI. MIUA 2016: 74-79 - 2015
- [c5]Andrik Rampun, Paul Malcolm, Reyer Zwiggelaar:
A Block-based Approach for Malignancy Detection within the Prostate Peripheral Zone in T2-weighted MRI. BIOIMAGING 2015: 56-63 - [c4]Andrik Rampun, Ling Zheng, Paul Malcolm, Reyer Zwiggelaar:
Classifying Benign and Malignant Tissues within the Prostate Peripheral Zone using Textons. MIUA 2015: 138-143 - [c3]Andrik Rampun, Ling Zheng, Paul Malcolm, Reyer Zwiggelaar:
Computer Aided Detection of Prostate Cancer within the Peripheral Zone in T2-Weighted MRI. MIUA 2015: 207-212 - 2014
- [c2]Andrik Rampun, Paul Malcolm, Reyer Zwiggelaar:
Computer-aided diagnosis method for MRI-guided prostate biopsy within the peripheral zone using grey level histograms. ICMV 2014: 94451J - [c1]Andrik Rampun, Paul Malcolm, Reyer Zwiggelaar:
Detection of Prostate Abnormality within the Peripheral Zone using Local Peak Information. ICPRAM 2014: 510-519
Coauthor Index
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