Gustavo Carneiro
Gustavo Carneiro
Verified email at adelaide.edu.au - Homepage
TitleCited byYear
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
10252007
Unsupervised cnn for single view depth estimation: Geometry to the rescue
R Garg, VK BG, G Carneiro, I Reid
European Conference on Computer Vision, 740-756, 2016
4232016
Formulating semantic image annotation as a supervised learning problem
G Carneiro, N Vasconcelos
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
2002005
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
1712008
Multi-scale phase-based local features
G Carneiro, AD Jepson
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
1672003
Learning local image descriptors with deep siamese and triplet convolutional networks by minimising global loss functions
BG Kumar, G Carneiro, I Reid
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1472016
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
1312017
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
1282015
Phase-based local features
G Carneiro, AD Jepson
European Conference on Computer Vision, 282-296, 2002
1232002
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
1082011
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
992015
Sparse flexible models of local features
G Carneiro, D Lowe
European Conference on Computer Vision, 29-43, 2006
932006
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
922015
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
872015
A discriminative model-constrained graph cuts approach to fully automated pediatric brain tumor segmentation in 3-D MRI
M Wels, G Carneiro, A Aplas, M Huber, J Hornegger, D Comaniciu
International Conference on Medical Image Computing and Computer-Assisted …, 2008
802008
Automated nucleus and cytoplasm segmentation of overlapping cervical cells
Z Lu, G Carneiro, AP Bradley
International Conference on Medical Image Computing and Computer-Assisted …, 2013
742013
A database centric view of semantic image annotation and retrieval
G Carneiro, N Vasconcelos
Proceedings of the 28th annual international ACM SIGIR conference on …, 2005
732005
Deep learning and structured prediction for the segmentation of mass in mammograms
N Dhungel, G Carneiro, AP Bradley
International Conference on Medical Image Computing and Computer-Assisted …, 2015
722015
Combining multiple dynamic models and deep learning architectures for tracking the left ventricle endocardium in ultrasound data
G Carneiro, JC Nascimento
IEEE transactions on pattern analysis and machine intelligence 35 (11), 2592 …, 2013
722013
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
702017
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