Reyer Zwiggelaar
Reyer Zwiggelaar
Department of Computer Science, Aberystwyth University
Zweryfikowany adres z aber.ac.uk - Strona główna
Cytowane przez
Cytowane przez
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
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
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
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
Thermal facial analysis for deception detection
BA Rajoub, R Zwiggelaar
IEEE transactions on information forensics and security 9 (6), 1015-1023, 2014
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-Villà, A Oliver, S Valverde, L Wang, R Zwiggelaar, X Lladó
Artificial intelligence in medicine 73, 45-69, 2016
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
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), 011007-011007, 2019
Breast ultrasound region of interest detection and lesion localisation
MH Yap, M Goyal, F Osman, R Martí, E Denton, A Juette, R Zwiggelaar
Artificial Intelligence in Medicine 107, 101880, 2020
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
Automatic classification of breast density
A Oliver, J Freixenet, R Zwiggelaar
IEEE International Conference on Image Processing 2005 2, II-1258, 2005
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
Mammographic density classification using multiresolution histogram information
I Muhimmah, R Zwiggelaar
Proceedings of the International Special Topic Conference on Information …, 2006
A systematic review of the prediction of hospital length of stay: Towards a unified framework
K Stone, R Zwiggelaar, P Jones, N Mac Parthaláin
PLOS Digital Health 1 (4), e0000017, 2022
Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network
A Rampun, K López-Linares, PJ Morrow, BW Scotney, H Wang, IG Ocaña, ...
Medical image analysis 57, 1-17, 2019
Semi-automatic segmentation of the prostate
R Zwiggelaar, Y Zhu, S Williams
Pattern Recognition and Image Analysis: First Iberian Conference, IbPRIA …, 2003
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20