| Machine learning interpretability: A survey on methods and metrics DV Carvalho, EM Pereira, JS Cardoso Electronics 8 (8), 832, 2019 | 1938 | 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 | 1226 | 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 | 797 | 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 | 414 | 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 | 400 | 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 | 313 | 2017 |
| Toward a generic evaluation of image segmentation JS Cardoso, L Corte-Real IEEE Transactions on Image Processing 14 (11), 1773-1782, 2005 | 278 | 2005 |
| Matched filtering and parameter estimation of ringdown waveforms E Berti, J Cardoso, V Cardoso, M Cavaglia Physical Review D—Particles, Fields, Gravitation, and Cosmology 76 (10), 104044, 2007 | 245 | 2007 |
| Learning to classify ordinal data: The data replication method JS Cardoso, JFP Da Costa Journal of Machine Learning Research 8 (50), 1393-1429, 2007 | 242 | 2007 |
| Evolution, current challenges, and future possibilities in ECG biometrics JR Pinto, JS Cardoso, A Lourenço Ieee Access 6, 34746-34776, 2018 | 236 | 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 | 222 | 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 | 220 | 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 | 179 | 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 | 151 | 2009 |
| Measuring the performance of ordinal classification JS Cardoso, R Sousa International Journal of Pattern Recognition and Artificial Intelligence …, 2011 | 150 | 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 | 140 | 2017 |
| Deep learning and data labeling for medical applications G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ... | 128* | 2016 |
| 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 | 121 | 2018 |
| Spiking neural networks: A survey JD Nunes, M Carvalho, D Carneiro, JS Cardoso IEEE Access 10, 60738-60764, 2022 | 117 | 2022 |
| 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 | 112 | 2012 |
Helder P. OliveiraFCUP, INESC TEC, PortugalE-mail megerősítve itt: fc.up.pt
