Jacinto C. Nascimento
Jacinto C. Nascimento
Institute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico
確認したメール アドレス: isr.ist.utl.pt - ホームページ
タイトル
引用先
引用先
年
Comparison of segmentation methods for melanoma diagnosis in dermoscopy images
M Silveira, JC Nascimento, JS Marques, ARS Marçal, T Mendonça, ...
IEEE Journal of Selected Topics in Signal Processing 3 (1), 35-45, 2009
3852009
Performance evaluation of object detection algorithms for video surveillance
JC Nascimento, JS Marques
IEEE Transactions on Multimedia 8 (4), 761-774, 2006
3272006
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
2122015
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
1702011
Comparison of target detection algorithms using adaptive background models
D Hall, J Nascimento, P Ribeiro, E Andrade, P Moreno, S Pesnel, T List, ...
2005 IEEE International Workshop on Visual Surveillance and Performance …, 2005
1602005
Medical image noise reduction using the Sylvester–Lyapunov equation
JM Sanches, JC Nascimento, JS Marques
IEEE transactions on image processing 17 (9), 1522-1539, 2008
1132008
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
1062013
Trajectory classification using switched dynamical hidden Markov models
JC Nascimento, MAT Figueiredo, JS Marques
IEEE Transactions on Image Processing 19 (5), 1338-1348, 2009
1032009
Precision radiology: predicting longevity using feature engineering and deep learning methods in a radiomics framework
L Oakden-Rayner, G Carneiro, T Bessen, JC Nascimento, AP Bradley, ...
Scientific reports 7 (1), 1-13, 2017
1022017
Automated analysis of unregistered multi-view mammograms with deep learning
G Carneiro, J Nascimento, AP Bradley
IEEE transactions on medical imaging 36 (11), 2355-2365, 2017
832017
Robust shape tracking with multiple models in ultrasound images
JC Nascimento, JS Marques
IEEE Transactions on Image Processing 17 (3), 392-406, 2008
832008
Adaptive snakes using the EM algorithm
JC Nascimento, JS Marques
IEEE Transactions on Image Processing 14 (11), 1678-1686, 2005
662005
Deep reinforcement learning for active breast lesion detection from DCE-MRI
G Maicas, G Carneiro, AP Bradley, JC Nascimento, I Reid
International conference on medical image computing and computer-assisted …, 2017
642017
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
572017
Robust shape tracking in the presence of cluttered background
JC Nascimento, JS Marques
IEEE transactions on Multimedia 6 (6), 852-861, 2004
552004
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
512018
Comparison of segmentation methods for automatic diagnosis of dermoscopy images
T Mendonca, ARS Marcal, A Vieira, JC Nascimento, M Silveira, ...
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
502007
Efficient and robust pedestrian detection using deep learning for human-aware navigation
A Mateus, D Ribeiro, P Miraldo, JC Nascimento
Robotics and Autonomous Systems 113, 23-37, 2019
47*2019
The HDA+ data set for research on fully automated re-identification systems
D Figueira, M Taiana, A Nambiar, J Nascimento, A Bernardino
European Conference on Computer Vision, 241-255, 2014
472014
Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures
G Carneiro, JC Nascimento
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
422010
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