| Unsupervised cnn for single view depth estimation: Geometry to the rescue R Garg, VK Bg, G Carneiro, I Reid Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1930 | 2016 |
| Supervised learning of semantic classes for image annotation and retrieval G Carneiro, AB Chan, PJ Moreno, N Vasconcelos IEEE transactions on pattern analysis and machine intelligence 29 (3), 394-410, 2007 | 1231 | 2007 |
| 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 | 795 | 2017 |
| Multi-modal cycle-consistent generalized zero-shot learning R Felix, I Reid, G Carneiro Proceedings of the European conference on computer vision (ECCV), 21-37, 2018 | 482 | 2018 |
| Hidden stratification causes clinically meaningful failures in machine learning for medical imaging L Oakden-Rayner, J Dunnmon, G Carneiro, C Ré Proceedings of the ACM conference on health, inference, and learning, 151-159, 2020 | 422 | 2020 |
| Weakly-supervised video anomaly detection with robust temporal feature magnitude learning Y Tian, G Pang, Y Chen, R Singh, JW Verjans, G Carneiro Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 407 | 2021 |
| Smart mining for deep metric learning B Harwood, V Kumar BG, G Carneiro, I Reid, T Drummond Proceedings of the IEEE international conference on computer vision, 2821-2829, 2017 | 396 | 2017 |
| A deep learning approach for the analysis of masses in mammograms with minimal user intervention N Dhungel, G Carneiro, AP Bradley Medical image analysis 37, 114-128, 2017 | 393 | 2017 |
| Learning local image descriptors with deep siamese and triplet convolutional networks by minimising global loss functions V Kumar BG, G Carneiro, I Reid Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 388 | 2016 |
| Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance TA Ngo, Z Lu, G Carneiro Medical image analysis 35, 159-171, 2017 | 379 | 2017 |
| Unregistered multiview mammogram analysis with pre-trained deep learning models G Carneiro, J Nascimento, AP Bradley International conference on medical image computing and computer-assisted …, 2015 | 359 | 2015 |
| Automated mass detection in mammograms using cascaded deep learning and random forests N Dhungel, G Carneiro, AP Bradley 2015 international conference on digital image computing: techniques and …, 2015 | 298 | 2015 |
| A bayesian data augmentation approach for learning deep models T Tran, T Pham, G Carneiro, L Palmer, I Reid Advances in neural information processing systems 30, 2017 | 297 | 2017 |
| Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume A Johnston, G Carneiro Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 286 | 2020 |
| Detection and measurement of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree G Carneiro, B Georgescu, S Good, D Comaniciu IEEE transactions on medical imaging 27 (9), 1342-1355, 2008 | 274 | 2008 |
| An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells Z Lu, G Carneiro, AP Bradley IEEE transactions on image processing 24 (4), 1261-1272, 2015 | 270 | 2015 |
| Perturbed and strict mean teachers for semi-supervised semantic segmentation Y Liu, Y Tian, Y Chen, F Liu, V Belagiannis, G Carneiro Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 268 | 2022 |
| The segmentation of the left ventricle of the heart from ultrasound data using deep learning architectures and derivative-based search methods G Carneiro, JC Nascimento, A Freitas IEEE Transactions on Image Processing 21 (3), 968-982, 2011 | 255 | 2011 |
| Deep learning and convolutional neural networks for medical image computing L Lu, Y Zheng, G Carneiro, L Yang Advances in computer vision and pattern recognition 10, 978-3, 2017 | 236 | 2017 |
| Robust optimization for deep regression V Belagiannis, C Rupprecht, G Carneiro, N Navab Proceedings of the IEEE international conference on computer vision, 2830-2838, 2015 | 230 | 2015 |
Jacinto C. NascimentoInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnicoisr.ist.utl.pt의 이메일 확인됨
