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
10012007
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
2482016
Formulating semantic image annotation as a supervised learning problem
G Carneiro, N Vasconcelos
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer …, 2005
1962005
Multi-scale phase-based local features
G Carneiro, AD Jepson
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE …, 2003
1712003
Detection of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree
G Carneiro, B Georgescu, S Good, D Comaniciu
IEEE Trans. Medical Imaging 27 (9), 1342-1355, 2008
1632008
Phase-based local features
G Carneiro, AD Jepson
European Conference on Computer Vision, 282-296, 2002
1242002
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
962016
Sparse flexible models of local features
G Carneiro, D Lowe
European Conference on Computer Vision, 29-43, 2006
922006
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
872015
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
832017
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, 2012
782012
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
772008
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
722005
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
692015
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
652015
Automated mass detection in mammograms using cascaded deep learning and random forests
N Dhungel, G Carneiro, AP Bradley
Digital Image Computing: Techniques and Applications (DICTA), 2015 …, 2015
642015
Flexible spatial configuration of local image features
G Carneiro, AD Jepson
IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (12), 2089 …, 2007
632007
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
602013
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 99 (1), 1, 2013
572013
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
532015
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