J. Nascimento

Most-cited papers

3DRegNet: A Deep Neural Network for 3D Point Registration
Goncalo Dias Pais, Pedro Miraldo, S. Ramalingam, V. Govindu +2 more
2019Computer Vision and Pattern Recognition290 citations Open access
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Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models
G. Carneiro, J. Nascimento, A. Bradley
2015International Conference on Medical Image Computing and Computer-Assisted Intervention270 citations Open access
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Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning
G. Carneiro, J. Nascimento, A. Bradley
2017IEEE Transactions on Medical Imaging181 citations Open access
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Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework
Luke Oakden-Rayner, G. Carneiro, Taryn Bessen, J. Nascimento +2 more
2017Scientific Reports149 citations Open access
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Deep Learning and Data Labeling for Medical Applications
G. Carneiro, Diana Mateus, Loïc Peter, A. Bradley +9 more
2016Lecture Notes in Computer Science135 citations Open access
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Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data
G. Carneiro, J. Nascimento
2013IEEE Transactions on Pattern Analysis and Machine Intelligence129 citations Open access
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BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions
Francisco Maria Calisto, Carlos Santiago, N. Nunes, J. Nascimento
2022Artif. Intell. Medicine127 citations Open access
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Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI
Gabriel Maicas, G. Carneiro, A. Bradley, J. Nascimento +1 more
2017International Conference on Medical Image Computing and Computer-Assisted Intervention112 citations
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Modeling adoption of intelligent agents in medical imaging
Francisco Maria Calisto, N. Nunes, J. Nascimento
2022Int. J. Hum. Comput. Stud.110 citations Open access
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Gait-based Person Re-identiﬁcation: a Survey
Athira M. Nambiar, Alexandre Bernardino, J. Nascimento
2019103 citations
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Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification
Francisco Maria Calisto, Carlos Santiago, N. Nunes, J. Nascimento
2021Int. J. Hum. Comput. Stud.95 citations
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Training Medical Image Analysis Systems like Radiologists
Gabriel Maicas, A. Bradley, J. Nascimento, I. Reid +1 more
2018International Conference on Medical Image Computing and Computer-Assisted Intervention60 citations Open access
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Efficient and robust Pedestrian Detection using Deep Learning for Human-Aware Navigation
André Mateus, D. Ribeiro, Pedro Miraldo, J. Nascimento
2016Robotics Auton. Syst.59 citations Open access
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The HDA+ Data Set for Research on Fully Automated Re-identification Systems
Dario Figueira, M. Taiana, Athira M. Nambiar, J. Nascimento +1 more
2014ECCV Workshops53 citations Open access
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LOW: Training deep neural networks by learning optimal sample weights
Carlos Santiago, C. Barata, M. Sasdelli, G. Carneiro +1 more
2021Pattern Recognition51 citations
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BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
Francisco Maria Calisto, N. Nunes, J. Nascimento
2020International Working Conference on Advanced Visual Interfaces47 citations Open access
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Towards Touch-Based Medical Image Diagnosis Annotation
Francisco Maria Calisto, Alfredo Ferreira, J. Nascimento, Daniel Gonçalves
2017International Symposium on Switching45 citations
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Activity Recognition Using a Mixture of Vector Fields
J. Nascimento, Mário A. T. Figueiredo, J. Marques
2013IEEE Transactions on Image Processing42 citations
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Improving the performance of pedestrian detectors using convolutional learning
D. Ribeiro, J. Nascimento, Alexandre Bernardino, G. Carneiro
2017Pattern Recognition41 citations
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A real-time Deep Learning pedestrian detector for robot navigation
D. Ribeiro, André Mateus, Pedro Miraldo, J. Nascimento
20162017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)39 citations Open access
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An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection
M. Taiana, J. Nascimento, Alexandre Bernardino
2013Iberian Conference on Pattern Recognition and Image Analysis36 citations
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Classification of Breast Cancer in Mri with Multimodal Fusion
Margarida Morais, Francisco Maria Calisto, Carlos Santiago, C. Aleluia +1 more
2023IEEE International Symposium on Biomedical Imaging34 citations
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Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI
Gabriel Maicas, A. Bradley, J. Nascimento, I. Reid +1 more
2018Medical Image Anal.33 citations Open access
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A multi-camera video dataset for research on high-definition surveillance
Athira M. Nambiar, M. Taiana, Dario Figueira, J. Nascimento +1 more
201433 citations
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Context-Aware Person Re-Identification in the Wild Via Fusion of Gait and Anthropometric Features
Athira M. Nambiar, Alexandre Bernardino, J. Nascimento, A. Fred
2017IEEE International Conference on Automatic Face & Gesture Recognition31 citations
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Fast segmentation of the left ventricle in cardiac MRI using dynamic programming
Carlos Santiago, J. Nascimento, J. Marques
2018Comput. Methods Programs Biomed.29 citations
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Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification
Renato Hermoza, Gabriel Maicas, J. Nascimento, G. Carneiro
2020International Conference on Medical Image Computing and Computer-Assisted Intervention28 citations Open access
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2D Segmentation Using a Robust Active Shape Model With the EM Algorithm
Carlos Santiago, J. Nascimento, J. Marques
2015IEEE Transactions on Image Processing28 citations
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Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography
G. Carneiro, Luke Oakden-Rayner, A. Bradley, J. Nascimento +1 more
2016IEEE International Symposium on Biomedical Imaging27 citations Open access
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Automatic Estimation of Multiple Motion Fields From Video Sequences Using a Region Matching Based Approach
M. Afonso, J. Nascimento, J. Marques
2014IEEE transactions on multimedia27 citations
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Sparse motion fields for trajectory prediction
C. Barata, J. Nascimento, J. M. Lemos, J. Marques
2021Pattern Recognition26 citations
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A Real-Time Pedestrian Detector using Deep Learning for Human-Aware Navigation
D. Ribeiro, André Mateus, J. Nascimento, Pedro Miraldo
2016arXiv.org26 citations
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2D Image head pose estimation via latent space regression under occlusion settings
J. Celestino, Manuel Marques, J. Nascimento, J. Costeira
2022Pattern Recognition23 citations Open access
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Towards View-point Invariant Person Re-identification via Fusion of Anthropometric and Gait Features from Kinect Measurements
Athira M. Nambiar, Alexandre Bernardino, J. Nascimento, A. Fred
2017VISIGRAPP22 citations Open access
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MDF-Net for abnormality detection by fusing X-rays with clinical data
Chih-Jou Hsieh, Isabel Blanco Nobre, Sandra Costa Sousa, Chun Ouyang +4 more
2023Scientific Reports21 citations Open access
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CyCoSeg: A Cyclic Collaborative Framework for Automated Medical Image Segmentation
Daniela O. Medley, Carlos Santiago, J. Nascimento
2021IEEE Transactions on Pattern Analysis and Machine Intelligence21 citations
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Deep Active Shape Model for Robust Object Fitting
Daniela O. Medley, Carlos Santiago, J. Nascimento
2020IEEE Transactions on Image Processing19 citations
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A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes
Carlos Santiago, J. Nascimento, J. Marques
2017Neural computing & applications (Print)17 citations
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Deep Learning on Sparse Manifolds for Faster Object Segmentation
J. Nascimento, G. Carneiro
2017IEEE Transactions on Image Processing17 citations
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Modeling and Classifying Human Activities From Trajectories Using a Class of Space-Varying Parametric Motion Fields
J. Nascimento, J. Marques, J. M. Lemos
2013IEEE Transactions on Image Processing16 citations
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Weakly-Supervised Diagnosis and Detection of Breast Cancer Using Deep Multiple Instance Learning
P. Diogo, Margarida Morais, Francisco Maria Calisto, Carlos Santiago +2 more
2023IEEE International Symposium on Biomedical Imaging15 citations
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One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization
J. Nascimento, G. Carneiro
2020IEEE Transactions on Pattern Analysis and Machine Intelligence15 citations
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OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras*
Goncalo Dias Pais, Tiago J. Dias, J. Nascimento, Pedro Miraldo
2019IEEE International Conference on Robotics and Automation15 citations Open access
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Shape Context for soft biometrics in person re-identification and database retrieval
Athira M. Nambiar, Alexandre Bernardino, J. Nascimento
2015Pattern Recognition Letters15 citations Open access
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Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions1
G. Carneiro, J. Nascimento, A. Bradley
2017Deep Learning for Medical Image Analysis13 citations
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Multi-atlas segmentation using manifold learning with deep belief networks
J. Nascimento, G. Carneiro
2016IEEE International Symposium on Biomedical Imaging13 citations
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Segmenting The Left Ventricle In Cardiac In Cardiac MRI: From Handcrafted To Deep Region Based Descriptors
Daniela O. Medley, Carlos Santiago, J. Nascimento
2019IEEE International Symposium on Biomedical Imaging11 citations
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Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model
Carlos Santiago, J. Nascimento, J. Marques
2015Annual International Conference of the IEEE Engineering in Medicine and Biology Society11 citations
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Automatic 3-D Segmentation of Endocardial Border of the Left Ventricle From Ultrasound Images
Carlos Santiago, J. Nascimento, J. Marques
2015IEEE journal of biomedical and health informatics11 citations
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Manifold Learning for Object Tracking With Multiple Nonlinear Models
J. Nascimento, Jorge G. Silva, J. Marques, J. M. Lemos
2014IEEE Transactions on Image Processing11 citations
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