Paul Malcolm

According to our database, Paul Malcolm authored at least 11 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation.

Ufuk Cem Birbiri, Azam Hamidinekoo, Amélie Grall, Paul Malcolm, Reyer Zwiggelaar

J. Imaging, 2020

2019

Measuring liver fat fraction with complex-based chemical shift MRI: the effect of simplified sampling protocols on accuracy.

Alexander J. Procter, Julia Y. Sun, Paul N. Malcolm, Andoni Toms

BMC Medical Imaging, 2019

Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation.

Amélie Grall, Azam Hamidinekoo, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

2018

Groupwise Non-rigid Image Alignment With Graph-based Initialisation.

Ahmad Aal-Yhia, Paul Malcolm, Otar Akanyeti, Reyer Zwiggelaar, Bernard Tiddeman

Proceedings of the Computer Graphics & Visual Computing, 2018

A Voting-Based Encoding Technique for the Classification of Gleason Score for Prostate Cancers.

Zobia Suhail, Arif Mahmood, Liping Wang, Paul N. Malcolm, Reyer Zwiggelaar

Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

2016

A Quantitative Study of Texture Features across Different Window Sizes in Prostate T2-weighted MRI.

Andrik Rampun, Liping Wang, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

2015

Computer Aided Detection of Prostate Cancer within the Peripheral Zone in T2-Weighted MRI.

Andrik Rampun, Ling Zheng, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the Medical Image Understanding and Analysis, 2015

Classifying Benign and Malignant Tissues within the Prostate Peripheral Zone using Textons.

Andrik Rampun, Ling Zheng, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the Medical Image Understanding and Analysis, 2015

A Block-based Approach for Malignancy Detection within the Prostate Peripheral Zone in T2-weighted MRI.

Andrik Rampun, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the BIOIMAGING 2015, 2015

2014

Detection of Prostate Abnormality within the Peripheral Zone using Local Peak Information.

Andrik Rampun, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the ICPRAM 2014, 2014

Computer-aided diagnosis method for MRI-guided prostate biopsy within the peripheral zone using grey level histograms.

Andrik Rampun, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the Seventh International Conference on Machine Vision, 2014