Prati
Gustavo Carneiro
Gustavo Carneiro
Professor of AI and Machine Learning, University of Surrey
Potvrđena adresa e-pošte na surrey.ac.uk - Početna stranica
Naslov
Citirano
Citirano
Godina
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
16852016
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
12112007
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
4812018
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
4242018
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
3702016
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
3552017
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
3522017
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
3472017
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
3382020
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
3292015
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
2842015
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
2692017
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
2552008
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
2492015
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
2442011
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
2212020
Formulating semantic image annotation as a supervised learning problem
G Carneiro, N Vasconcelos
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
2202005
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
2132021
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
2102015
Deep learning in medical image analysis and multimodal learning for clinical decision support
MJ Cardoso, T Arbel, G Carneiro, T Syeda-Mahmood, JMRS Tavares, ...
2022017
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