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 | 810 | 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 | 509 | 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 | 320 | 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 | 309 | 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 | 263 | 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 | 211 | 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 | 154 | 1999 |
Thermal facial analysis for deception detection BA Rajoub, R Zwiggelaar IEEE transactions on information forensics and security 9 (6), 1015-1023, 2014 | 138 | 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 | 136 | 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 | 132 | 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 | 115 | 2006 |
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 | 109 | 2014 |
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 | 108 | 2020 |
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 | 108 | 2019 |
Automatic classification of breast density A Oliver, J Freixenet, R Zwiggelaar IEEE International Conference on Image Processing 2005 2, II-1258, 2005 | 104 | 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 | 88 | 2012 |
Mammographic density classification using multiresolution histogram information I Muhimmah, R Zwiggelaar Proceedings of the International Special Topic Conference on Information …, 2006 | 79 | 2006 |
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 | 78 | 2019 |
Semi-automatic segmentation of the prostate R Zwiggelaar, Y Zhu, S Williams Pattern Recognition and Image Analysis: First Iberian Conference, IbPRIA …, 2003 | 74 | 2003 |
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 | 72 | 2022 |