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 | 737 | 2017 |
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 | 515 | 2009 |
Performance evaluation of object detection algorithms for video surveillance JC Nascimento, JS Marques IEEE Transactions on Multimedia 8 (4), 761-774, 2006 | 408 | 2006 |
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 | 339 | 2015 |
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 | 242 | 2011 |
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 | 217 | 2020 |
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 | 205 | 2017 |
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 | 175 | 2017 |
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 | 162 | 2005 |
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 | 157 | 2013 |
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 | 139 | 2008 |
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 | 122 | 2017 |
Trajectory classification using switched dynamical hidden Markov models JC Nascimento, MAT Figueiredo, JS Marques IEEE Transactions on Image Processing 19 (5), 1338-1348, 2009 | 117 | 2009 |
Deep learning and data labeling for medical applications G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ... | 116* | 2016 |
Gait-based person re-identification: A survey A Nambiar, A Bernardino, JC Nascimento ACM Computing Surveys (CSUR) 52 (2), 1-34, 2019 | 105 | 2019 |
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 | 94* | 2019 |
Robust shape tracking with multiple models in ultrasound images JC Nascimento, JS Marques IEEE Transactions on Image Processing 17 (3), 392-406, 2008 | 92 | 2008 |
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 | 74 | 2021 |
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 | 72 | 2022 |
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 | 72 | 2018 |