| 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 | 407 | 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 | 286 | 2008 |
| 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 | 237 | 2017 |
| 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 | 219 | 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 | 188 | 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 | 142 | 1999 |
| 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 | 131 | 2018 |
| 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 | 115 | 2012 |
| 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 | 104 | 2006 |
| Thermal facial analysis for deception detection BA Rajoub, R Zwiggelaar IEEE transactions on information forensics and security 9 (6), 1015-1023, 2014 | 89 | 2014 |
| Automatic classification of breast density A Oliver, J Freixenet, R Zwiggelaar IEEE International Conference on Image Processing 2005 2, II-1258, 2005 | 89 | 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 | 76 | 2014 |
| 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 | 75 | 2016 |
| Semi-automatic segmentation of the prostate R Zwiggelaar, Y Zhu, S Williams Iberian Conference on Pattern Recognition and Image Analysis, 1108-1116, 2003 | 70 | 2003 |
| 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 | 68 | 2012 |
| Mammographic density classification using multiresolution histogram information I Muhimmah, R Zwiggelaar Proceedings of the International Special Topic Conference on Information …, 2006 | 67 | 2006 |
| 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 | 64 | 2007 |
| Background texture extraction for the classification of mammographic parenchymal patterns L Blot, R Zwiggelaar Medical Image Understanding and Analysis, 145-148, 2001 | 62 | 2001 |
| Finding Orientated Line Patterns in Digital Mammographic Images. R Zwiggelaar, TC Parr, CJ Taylor BMVC, 1-10, 1996 | 61 | 1996 |
| Use of spectral information and machine vision for bruise detection on peaches and apricots R Zwiggelaar, Q Yang, E Garcia-Pardo, CRR Bull Journal of Agricultural engineering research 63 (4), 323-331, 1996 | 57 | 1996 |
Arnau OliverUniversitat de GironaVerified email at eia.udg.edu
