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Jacinto C. Nascimento
Jacinto C. Nascimento
Institute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico
Dirección de correo verificada de isr.ist.utl.pt - Página principal
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Citado por
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Año
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
7742017
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
5272009
Performance evaluation of object detection algorithms for video surveillance
JC Nascimento, JS Marques
IEEE Transactions on Multimedia 8 (4), 761-774, 2006
4192006
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
3582015
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
2512011
3dregnet: A deep neural network for 3d point registration
GD Pais, S Ramalingam, VM Govindu, JC Nascimento, R Chellappa, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2492020
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
2212017
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), 1648, 2017
1852017
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
1632013
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
1622005
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
1412008
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
1292017
Deep learning and data labeling for medical applications
G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ...
122*2016
Trajectory classification using switched dynamical hidden Markov models
JC Nascimento, MAT Figueiredo, JS Marques
IEEE Transactions on Image Processing 19 (5), 1338-1348, 2009
1192009
Gait-based person re-identification: A survey
A Nambiar, A Bernardino, JC Nascimento
ACM Computing Surveys (CSUR) 52 (2), 1-34, 2019
1142019
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions
FM Calisto, C Santiago, N Nunes, JC Nascimento
Artificial Intelligence in Medicine 127, 102285, 2022
1002022
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
99*2019
Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification
FM Calisto, C Santiago, N Nunes, JC Nascimento
International Journal of Human-Computer Studies 150, 102607, 2021
942021
Robust shape tracking with multiple models in ultrasound images
JC Nascimento, JS Marques
IEEE Transactions on Image Processing 17 (3), 392-406, 2008
922008
Training medical image analysis systems like radiologists
G Maicas, AP Bradley, JC Nascimento, I Reid, G Carneiro
International Conference on Medical Image Computing and Computer-Assisted …, 2018
762018
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Artículos 1–20