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 | 1763 | 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 | 1214 | 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 | 735 | 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 | 445 | 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 | 383 | 2016 |
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 | 371 | 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 | 369 | 2017 |
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 | 368 | 2020 |
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 | 362 | 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 | 339 | 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 | 282 | 2015 |
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 | 278 | 2021 |
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 | 278 | 2017 |
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 | 266 | 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 | 252 | 2015 |
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 | 244 | 2020 |
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 | 242 | 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 | 222 | 2005 |
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 | 215 | 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 | 214 | 2017 |