| 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 | 1487 | 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 | 1209 | 2007 |
| Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS … D Stoyanov, Z Taylor, G Carneiro, T Syeda-Mahmood, A Martel, ... Springer, 2018 | 493 | 2018 |
| 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 | 369 | 2018 |
| 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 | 341 | 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 | 330 | 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 | 312 | 2017 |
| Unregistered multiview mammogram analysis with pre-trained deep learning models G Carneiro, J Nascimento, AP Bradley Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 311 | 2015 |
| 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 | 305 | 2017 |
| 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 | 260 | 2015 |
| 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 | 246 | 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 | 244 | 2008 |
| 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 | 236 | 2017 |
| 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 | 224 | 2015 |
| 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 | 224 | 2011 |
| Formulating semantic image annotation as a supervised learning problem G Carneiro, N Vasconcelos 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 212 | 2005 |
| Multi-scale phase-based local features G Carneiro, AD Jepson 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 200 | 2003 |
| 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 | 199 | 2015 |
| Deep learning and structured prediction for the segmentation of mass in mammograms N Dhungel, G Carneiro, AP Bradley Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 177 | 2015 |
| 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 | 171 | 2017 |
Jacinto C. NascimentoInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico在 isr.ist.utl.pt 的电子邮件经过验证
