| Inbreast: toward a full-field digital mammographic database IC Moreira, I Amaral, I Domingues, A Cardoso, MJ Cardoso, JS Cardoso Academic radiology 19 (2), 236-248, 2012 | 431 | 2012 |
| Optical music recognition: state-of-the-art and open issues A Rebelo, I Fujinaga, F Paszkiewicz, ARS Marcal, C Guedes, JS Cardoso International Journal of Multimedia Information Retrieval 1 (3), 173-190, 2012 | 273 | 2012 |
| Toward a generic evaluation of image segmentation JS Cardoso, L Corte-Real IEEE Transactions on Image Processing 14 (11), 1773-1782, 2005 | 263 | 2005 |
| Learning to classify ordinal data: The data replication method J Cardoso, JP da Costa | 192 | 2007 |
| Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment JS Cardoso, MJ Cardoso Artificial intelligence in medicine 40 (2), 115-126, 2007 | 170 | 2007 |
| Matched filtering and parameter estimation of ringdown waveforms E Berti, J Cardoso, V Cardoso, M Cavaglia Physical Review D 76 (10), 104044, 2007 | 158 | 2007 |
| Machine learning interpretability: A survey on methods and metrics DV Carvalho, EM Pereira, JS Cardoso Electronics 8 (8), 832, 2019 | 156 | 2019 |
| Turning subjective into objective: the BCCT. core software for evaluation of cosmetic results in breast cancer conservative treatment MJ Cardoso, J Cardoso, N Amaral, I Azevedo, L Barreau, M Bernardo, ... The Breast 16 (5), 456-461, 2007 | 148 | 2007 |
| Transfer learning with partial observability applied to cervical cancer screening K Fernandes, JS Cardoso, J Fernandes Iberian conference on pattern recognition and image analysis, 243-250, 2017 | 143 | 2017 |
| Optical recognition of music symbols A Rebelo, G Capela, JS Cardoso International Journal on Document Analysis and Recognition (IJDAR) 13 (1), 19-31, 2010 | 143 | 2010 |
| Staff detection with stable paths J dos Santos Cardoso, A Capela, A Rebelo, C Guedes, JP da Costa IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (6), 1134-1139, 2009 | 123 | 2009 |
| Measuring the performance of ordinal classification JS Cardoso, R Sousa International Journal of Pattern Recognition and Artificial Intelligence …, 2011 | 82 | 2011 |
| Diagnostic of pathology on the vertebral column with embedded reject option AR da Rocha Neto, R Sousa, GA Barreto, JS Cardoso Iberian Conference on Pattern Recognition and Image Analysis, 588-595, 2011 | 81 | 2011 |
| Recommendations for the aesthetic evaluation of breast cancer conservative treatment MJ Cardoso, JS Cardoso, C Vrieling, D Macmillan, D Rainsbury, J Heil, ... Breast cancer research and treatment 135 (3), 629-637, 2012 | 79 | 2012 |
| Evolution, current challenges, and future possibilities in ECG biometrics JR Pinto, JS Cardoso, A Lourenço IEEE Access 6, 34746-34776, 2018 | 76 | 2018 |
| Factors determining esthetic outcome after breast cancer conservative treatment MJ Cardoso, J Cardoso, AC Santos, C Vrieling, D Christie, G Liljegren, ... The breast journal 13 (2), 140-146, 2007 | 74 | 2007 |
| Interobserver agreement and consensus over the esthetic evaluation of conservative treatment for breast cancer MJ Cardoso, J Cardoso, AC Santos, H Barros, MC de Oliveira The Breast 15 (1), 52-57, 2006 | 71 | 2006 |
| The unimodal model for the classification of ordinal data JFP da Costa, H Alonso, JS Cardoso Neural Networks 21 (1), 78-91, 2008 | 68 | 2008 |
| Long-term cosmetic changes after breast-conserving treatment of patients with stage I–II breast cancer and included in the EORTC ‘boost versus no boost’trial JM Immink, H Putter, H Bartelink, JS Cardoso, MJ Cardoso, ... Annals of oncology 23 (10), 2591-2598, 2012 | 64 | 2012 |
| Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment JS Cardoso, JFP da Costa, MJ Cardoso Neural Networks 18 (5-6), 808-817, 2005 | 64 | 2005 |
Helder P. OliveiraINESC TEC, FCUP, PortugalVerified email at fe.up.pt
