Machine learning interpretability: A survey on methods and metrics DV Carvalho, EM Pereira, JS Cardoso Electronics 8 (8), 832, 2019 | 1527 | 2019 |
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 | 1061 | 2012 |
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS … MJ Cardoso, T Arbel, G Carneiro, T Syeda-Mahmood, JMRS Tavares, ... Springer, 2017 | 714 | 2017 |
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, 173-190, 2012 | 378 | 2012 |
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ... JAMA network open 3 (3), e200265-e200265, 2020 | 338 | 2020 |
Transfer learning with partial observability applied to cervical cancer screening K Fernandes, JS Cardoso, J Fernandes Pattern Recognition and Image Analysis: 8th Iberian Conference, IbPRIA 2017 …, 2017 | 289 | 2017 |
Toward a generic evaluation of image segmentation JS Cardoso, L Corte-Real IEEE Transactions on Image Processing 14 (11), 1773-1782, 2005 | 275 | 2005 |
Learning to classify ordinal data: The data replication method J Cardoso, JP da Costa | 238 | 2007 |
Matched filtering and parameter estimation of ringdown waveforms E Berti, J Cardoso, V Cardoso, M Cavaglia Physical Review D 76 (10), 104044, 2007 | 231 | 2007 |
Evolution, current challenges, and future possibilities in ECG biometrics JR Pinto, JS Cardoso, A Lourenço IEEE Access 6, 34746-34776, 2018 | 221 | 2018 |
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 | 209 | 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 | 208 | 2007 |
Optical recognition of music symbols: A comparative study A Rebelo, G Capela, JS Cardoso International Journal on Document Analysis and Recognition (IJDAR) 13 (1), 19-31, 2010 | 176 | 2010 |
Deep learning and data labeling for medical applications G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ... | 146* | 2016 |
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 | 145 | 2009 |
Measuring the performance of ordinal classification JS Cardoso, R Sousa International Journal of Pattern Recognition and Artificial Intelligence …, 2011 | 139 | 2011 |
Towards a continuous biometric system based on ECG signals acquired on the steering wheel JR Pinto, JS Cardoso, A Lourenço, C Carreiras Sensors 17 (10), 2228, 2017 | 130 | 2017 |
Elastic deformations for data augmentation in breast cancer mass detection E Castro, JS Cardoso, JC Pereira 2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018 | 109 | 2018 |
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, 629-637, 2012 | 106 | 2012 |
Automated detection of malaria parasites on thick blood smears via mobile devices L Rosado, JMC Da Costa, D Elias, JS Cardoso Procedia Computer Science 90, 138-144, 2016 | 100 | 2016 |