Reyer Zwiggelaar
Reyer Zwiggelaar
Department of Computer Science, Aberystwyth University
Verified email at - Homepage
Cited by
Cited by
Automated breast ultrasound lesions detection using convolutional neural networks
MH Yap, G Pons, J Marti, S Ganau, M Sentis, R Zwiggelaar, AK Davison, ...
IEEE journal of biomedical and health informatics 22 (4), 1218-1226, 2017
A review of automatic mass detection and segmentation in mammographic images
A Oliver, J Freixenet, J Marti, E Perez, J Pont, ERE Denton, R Zwiggelaar
Medical image analysis 14 (2), 87-110, 2010
A novel breast tissue density classification methodology
A Oliver, J Freixenet, R Marti, J Pont, E Pérez, ERE Denton, R Zwiggelaar
IEEE Transactions on Information Technology in Biomedicine 12 (1), 55-65, 2008
A review of spectral properties of plants and their potential use for crop/weed discrimination in row-crops
R Zwiggelaar
Crop protection 17 (3), 189-206, 1998
Deep learning in mammography and breast histology, an overview and future trends
A Hamidinekoo, E Denton, A Rampun, K Honnor, R Zwiggelaar
Medical image analysis 47, 45-67, 2018
Linear structures in mammographic images: detection and classification
R Zwiggelaar, SM Astley, CRM Boggis, CJ Taylor
IEEE transactions on medical imaging 23 (9), 1077-1086, 2004
Model-based detection of spiculated lesions in mammograms
R Zwiggelaar, TC Parr, JE Schumm, IW Hutt, CJ Taylor, SM Astley, ...
Medical Image Analysis 3 (1), 39-62, 1999
Automatic microcalcification and cluster detection for digital and digitised mammograms
A Oliver, A Torrent, X Lladó, M Tortajada, L Tortajada, M Sentís, ...
Knowledge-Based Systems 28, 68-75, 2012
A review on brain structures segmentation in magnetic resonance imaging
S González-Villŕ, A Oliver, S Valverde, L Wang, R Zwiggelaar, X Lladó
Artificial intelligence in medicine 73, 45-69, 2016
Thermal facial analysis for deception detection
BA Rajoub, R Zwiggelaar
IEEE transactions on information forensics and security 9 (6), 1015-1023, 2014
Computer technology in detection and staging of prostate carcinoma: a review
Y Zhu, S Williams, R Zwiggelaar
Medical Image Analysis 10 (2), 178-199, 2006
Automatic classification of breast density
A Oliver, J Freixenet, R Zwiggelaar
IEEE International Conference on Image Processing 2005 2, II-1258, 2005
Topological modeling and classification of mammographic microcalcification clusters
Z Chen, H Strange, A Oliver, ERE Denton, C Boggis, R Zwiggelaar
IEEE transactions on biomedical engineering 62 (4), 1203-1214, 2014
Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls
CO Phillips, Y Syed, N Mac Parthaláin, R Zwiggelaar, TC Claypole, ...
Journal of breath research 6 (3), 036003, 2012
Breast ultrasound lesions recognition: end-to-end deep learning approaches
MH Yap, M Goyal, FM Osman, R Martí, E Denton, A Juette, R Zwiggelaar
Journal of medical imaging 6 (1), 011007, 2018
Mammographic density classification using multiresolution histogram information
I Muhimmah, R Zwiggelaar
Proceedings of the International Special Topic Conference on Information …, 2006
Semi-automatic segmentation of the prostate
R Zwiggelaar, Y Zhu, S Williams
Iberian Conference on Pattern Recognition and Image Analysis, 1108-1116, 2003
A hybrid ASM approach for sparse volumetric data segmentation
Y Zhu, S Williams, R Zwiggelaar
Pattern recognition and image analysis 17 (2), 252-258, 2007
Background texture extraction for the classification of mammographic parenchymal patterns
L Blot, R Zwiggelaar
Medical Image Understanding and Analysis, 145-148, 2001
A review on automatic mammographic density and parenchymal segmentation
W He, A Juette, ERE Denton, A Oliver, R Martí, R Zwiggelaar
International journal of breast cancer 2015, 2015
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