An algorithm for centroid-based tracking of moving objects. - Jacinto C. Nascimento; Arnaldo J. Abrantes; Jorge S. Marques (ICASSP, 1999)

Improving the robustness of parametric shape tracking with switched multiple models. - Jacinto C. Nascimento; Jorge S. Marques (Pattern Recognit., 2002)

Estimation of cardiac phases in echographic images using multiple models. - Jacinto C. Nascimento; Jorge S. Marques; João M. Sanches (ICIP (2), 2003)

An adaptive potential for robust shape estimation. - Jacinto C. Nascimento; Jorge S. Marques (Image Vis. Comput., 2003)

Using middle level features for robust shape tracking. - Jacinto C. Nascimento; Arnaldo J. Abrantes; Jorge S. Marques (Pattern Recognit. Lett., 2003)

Learning switching dynamic models for objects tracking. - Gilles Celeux; Jacinto C. Nascimento; Jorge S. Marques (Pattern Recognit., 2004)

Robust shape tracking in the presence of cluttered background. - Jacinto C. Nascimento; Jorge S. Marques (IEEE Trans. Multim., 2004)

Recognition of human activities using space dependent switched dynamical models. - Jacinto C. Nascimento; Mário A. T. Figueiredo; Jorge S. Marques (ICIP (3), 2005)

Adaptive snakes using the EM algorithm. - Jacinto C. Nascimento; Jorge S. Marques (IEEE Trans. Image Process., 2005)

A Method for the Dynamic Analysis of the Heart Using a Lyapounov Based Denoising Algorithm. - Jacinto C. Nascimento; João M. Sanches; Jorge S. Marques (EMBC, 2006)

Corrections to "Adaptive Snakes Using the EM Algorithm". - Jacinto C. Nascimento; Jorge S. Marques (IEEE Trans. Image Process., 2006)

Performance Evaluation of Object Detection Algorithms for Video Surveillance. - Jacinto C. Nascimento; Jorge S. Marques (IEEE Trans. Multim., 2006)

On-Line Classification of Human Activities. - Jacinto C. Nascimento; Mário A. T. Figueiredo; Jorge S. Marques (IbPRIA (2), 2007)

Tracking the Left Ventricle in Ultrasound Images Based on Total Variation Denoising. - Jacinto C. Nascimento; João M. Sanches; Jorge S. Marques (IbPRIA (2), 2007)

Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications. - Jacinto C. Nascimento; Mário A. T. Figueiredo; Jorge S. Marques (ICIP (3), 2007)

On the use of perspective catadioptric sensors for 3D model-based tracking with particle filters. - Matteo Tajana; José António Gaspar; Jacinto C. Nascimento; Alexandre Bernardino; Pedro U. Lima (IROS, 2007)

3D Tracking by Catadioptric Vision Based on Particle Filters. - Matteo Taiana; José António Gaspar; Jacinto C. Nascimento; Alexandre Bernardino; Pedro U. Lima (RoboCup, 2007)

Sample-Based 3D Tracking of Colored Objects : A Flexible Architecture. - Matteo Taiana; Jacinto C. Nascimento; José António Gaspar; Alexandre Bernardino (BMVC, 2008)

Unsupervised learning of motion patterns using generative models. - Jacinto C. Nascimento; Mário A. T. Figueiredo; Jorge S. Marques (ICIP, 2008)

Ultrasound imaging LV tracking with adaptive window size and automatic hyper-parameter estimation. - Jacinto C. Nascimento; João M. Sanches (ICIP, 2008)

Level set segmentation with outlier rejection. - Margarida Silveira; Jacinto C. Nascimento; Jorge S. Marques (ICIP, 2008)

Independent increment processes for human motion recognition. - Jacinto C. Nascimento; Mário A. T. Figueiredo; Jorge S. Marques (Comput. Vis. Image Underst., 2008)

Robust Shape Tracking With Multiple Models in Ultrasound Images. - Jacinto C. Nascimento; Jorge S. Marques (IEEE Trans. Image Process., 2008)

Medical Image Noise Reduction Using the Sylvester-Lyapunov Equation. - João M. Sanches; Jacinto C. Nascimento; Jorge S. Marques (IEEE Trans. Image Process., 2008)

Trajectory Modeling Using Mixtures of Vector Fields. - Jacinto C. Nascimento; Mário A. T. Figueiredo; Jorge S. Marques (IbPRIA, 2009)

Trajectory analysis in natural images using mixtures of vector fields. - Jacinto C. Nascimento; Mário A. T. Figueiredo; Jorge S. Marques (ICIP, 2009)

Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images. - Margarida Silveira; Jacinto C. Nascimento; Jorge S. Marques; André R. S. Marçal; Teresa Mendonça; Syogo Yamauchi; Junji Maeda; Jorge Rozeira (IEEE J. Sel. Top. Signal Process., 2009)

Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures. - Gustavo Carneiro 001; Jacinto C. Nascimento (CVPR, 2010)

Manifold Learning for Object Tracking with Multiple Motion Dynamics. - Jacinto C. Nascimento; Jorge G. Silva (ECCV (3), 2010)

Efficient search methods and deep belief networks with particle filtering for non-rigid tracking: Application to lip tracking. - Jacinto C. Nascimento; Gustavo Carneiro 001 (ICIP, 2010)

Improving the robustness of gradient vector flowin cluttered images. - Jacinto C. Nascimento; Jorge S. Marques (ICIP, 2010)

Classification of complex pedestrian activities from trajectories. - Jacinto C. Nascimento; Jorge S. Marques; Mário A. T. Figueiredo (ICIP, 2010)

Discriminative model selection for object motion recognition. - Jacinto C. Nascimento; Jorge S. Marques; Mário A. T. Figueiredo (ICIP, 2010)

The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking. - Gustavo Carneiro 001; Jacinto C. Nascimento (ICPR, 2010)

Robust left ventricle segmentation from ultrasound data using deep neural networks and efficient search methods. - Gustavo Carneiro 001; Jacinto C. Nascimento; António Freitas (ISBI, 2010)

Tracking objects with generic calibrated sensors: An algorithm based on color and 3D shape features. - Matteo Taiana; João Santos 002; José António Gaspar; Jacinto C. Nascimento; Alexandre Bernardino; Pedro U. Lima (Robotics Auton. Syst., 2010)

Trajectory Classification Using Switched Dynamical Hidden Markov Models. - Jacinto C. Nascimento; Mário A. T. Figueiredo; Jorge S. Marques (IEEE Trans. Image Process., 2010)

Trajectory Analysis Using Switched Motion Fields: A Parametric Approach. - Jorge S. Marques; João Miranda Lemos; Mário A. T. Figueiredo; Jacinto C. Nascimento; Miguel Barão (IbPRIA, 2011)

Incremental on-line semi-supervised learning for segmenting the left ventricle of the heart from ultrasound data. - Gustavo Carneiro 001; Jacinto C. Nascimento (ICCV, 2011)

Reducing the training set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images. - Jacinto C. Nascimento; Gustavo Carneiro 001 (ICIP, 2011)

Discriminative model selection using a modified Bayesian criterion: Application to trajectory modeling. - Jacinto C. Nascimento; Jorge S. Marques; Mário A. T. Figueiredo (ICIP, 2011)

Flexible trajectory modeling using a mixture of parametric motion fields for video surveillance. - Jacinto C. Nascimento; Jorge S. Marques; João Miranda Lemos (ICIP, 2011)

Lip contour tracking using multiple dynamic models on a manifold. - Jacinto C. Nascimento; Jorge S. Silva (ICIP, 2011)

Semi-supervised self-trainingmodel for the segmentationof the left ventricle of the heart from ultrasound data. - Gustavo Carneiro 001; Jacinto C. Nascimento; António Freitas (ISBI, 2011)

The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound. - Gustavo Carneiro 001; Jacinto C. Nascimento (CVPR, 2012)

On-line re-training and segmentation with reduction of the training set: Application to the left ventricle detection in ultrasound imaging. - Jacinto C. Nascimento; Gustavo Carneiro 001 (ICIP, 2012)

A class of space-varying parametric motion fields for human activity recognition. - Jacinto C. Nascimento; Jorge S. Marques; João Miranda Lemos (ICIP, 2012)

Automatic Estimation of Multiple Motion Fields using Object Trajectories and Optical Flow. - Manya V. Afonso; Jorge S. Marques; Jacinto C. Nascimento (ICPRAM (2), 2012)

Robust Deformable Model for Segmenting the Left Ventricle in 3D Volumes of Ultrasound Data. - Carlos Santiago; Jorge S. Marques; Jacinto C. Nascimento (ICPRAM (1), 2012)

The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods. - Gustavo Carneiro 001; Jacinto C. Nascimento; António Freitas (IEEE Trans. Image Process., 2012)

Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds. - Jacinto C. Nascimento; Gustavo Carneiro 001 (CVPR, 2013)

Performance evaluation of point matching algorithms for left ventricle motion analysis in MRI. - Carlos Santiago; Jacinto C. Nascimento; Jorge S. Marques (EMBC, 2013)

Efficient Optimization Algorithm for Space-Variant Mixture of Vector Fields. - Jacinto C. Nascimento; Miguel Barão; Jorge S. Marques; João Miranda Lemos (IbPRIA, 2013)

An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection. - Matteo Taiana; Jacinto C. Nascimento; Alexandre Bernardino (IbPRIA, 2013)

Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imagery. - Jacinto C. Nascimento; Gustavo Carneiro 001 (ICIP, 2013)

3D left ventricular segmentation in echocardiography using a probabilistic data association deformable model. - Carlos Santiago; Jacinto C. Nascimento; Jorge S. Marques (ICIP, 2013)

Vision-based Hand Pose Estimation - A Mixed Bottom-up and Top-down Approach. - Davide Periquito; Jacinto C. Nascimento; Alexandre Bernardino; João Sequeira 001 (VISAPP (1), 2013)

Single Camera Hand Pose Estimation from Bottom-Up and Top-Down Processes. - Davide Periquito; Jacinto C. Nascimento; Alexandre Bernardino; João Sequeira 001 (VISIGRAPP (Selected Papers), 2013)

Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data. - Gustavo Carneiro 001; Jacinto C. Nascimento (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Activity Recognition Using a Mixture of Vector Fields. - Jacinto C. Nascimento; Mário A. T. Figueiredo; Jorge S. Marques (IEEE Trans. Image Process., 2013)

Modeling and Classifying Human Activities From Trajectories Using a Class of Space-Varying Parametric Motion Fields. - Jacinto C. Nascimento; Jorge S. Marques; João Miranda Lemos (IEEE Trans. Image Process., 2013)

Non-rigid Object Segmentation Using Robust Active Shape Models. - Carlos Santiago; Jacinto C. Nascimento; Jorge S. Marques (AMDO, 2014)

Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks. - Jacinto C. Nascimento; Gustavo Carneiro 001 (CVPR, 2014)

The HDA+ Data Set for Research on Fully Automated Re-identification Systems. - Dario Figueira; Matteo Taiana; Athira M. Nambiar; Jacinto C. Nascimento; Alexandre Bernardino (ECCV Workshops (3), 2014)

A robust active shape model using an expectation-maximization framework. - Carlos Santiago; Jacinto C. Nascimento; Jorge S. Marques (ICIP, 2014)

Towards Fully Automated Person Re-identification. - Matteo Taiana; Dario Figueira; Athira M. Nambiar; Jacinto C. Nascimento; Alexandre Bernardino (VISAPP (3), 2014)

Information Geometric Algorithm for Estimating Switching Probabilities in Space-Varying HMM. - Jacinto C. Nascimento; Miguel Barão; Jorge S. Marques; João Miranda Lemos (IEEE Trans. Image Process., 2014)

Manifold Learning for Object Tracking With Multiple Nonlinear Models. - Jacinto C. Nascimento; Jorge G. Silva; Jorge S. Marques; João Miranda Lemos (IEEE Trans. Image Process., 2014)

Automatic Estimation of Multiple Motion Fields From Video Sequences Using a Region Matching Based Approach. - Manya V. Afonso; Jacinto C. Nascimento; Jorge S. Marques (IEEE Trans. Multim., 2014)

Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model. - Carlos Santiago; Jacinto C. Nascimento; Jorge S. Marques (EMBC, 2015)

Robust 3D Active Shape Model for the Segmentation of the Left Ventricle in MRI. - Carlos Santiago; Jacinto C. Nascimento; Jorge S. Marques (IbPRIA, 2015)

Predictive multiple motion fields for trajectory completion: Application to surveillance systems. - Manya V. Afonso; Jacinto C. Nascimento (ICIP, 2015)

Towards reduction of the training and search running time complexities for non-rigid object segmentation. - Jacinto C. Nascimento; Gustavo Carneiro 001 (ICIP, 2015)

Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models. - Gustavo Carneiro 001; Jacinto C. Nascimento; Andrew P. Bradley (MICCAI (3), 2015)

An information geometric framework for the optimization on a discrete probability spaces: Application to human trajectory classification. - Jacinto C. Nascimento; Miguel Barão; Jorge S. Marques; João Miranda Lemos (Neurocomputing, 2015)

On the purity of training and testing data for learning: The case of pedestrian detection. - Matteo Taiana; Jacinto C. Nascimento; Alexandre Bernardino (Neurocomputing, 2015)

Shape Context for soft biometrics in person re-identification and database retrieval. - Athira M. Nambiar; Alexandre Bernardino; Jacinto C. Nascimento (Pattern Recognit. Lett., 2015)

2D Segmentation Using a Robust Active Shape Model With the EM Algorithm. - Carlos Santiago; Jacinto C. Nascimento; Jorge S. Marques (IEEE Trans. Image Process., 2015)

Automatic 3-D Segmentation of Endocardial Border of the Left Ventricle From Ultrasound Images. - Carlos Santiago; Jacinto C. Nascimento; Jorge S. Marques (IEEE J. Biomed. Health Informatics, 2015)

Person Re-identification in Frontal Gait Sequences via Histogram of Optic Flow Energy Image. - Athira M. Nambiar; Jacinto C. Nascimento; Alexandre Bernardino; José Santos-Victor (ACIVS, 2016)

A new robust active shape model formulation for cardiac MRI segmentation. - Carlos Santiago; Jacinto C. Nascimento; Jorge S. Marques (ICIP, 2016)

Multi-atlas segmentation using manifold learning with deep belief networks. - Jacinto C. Nascimento; Gustavo Carneiro 001 (ISBI, 2016)

Person Re-identification based on Human Query on Soft Biometrics using SVM Regression. - Athira M. Nambiar; Alexandre Bernardino; Jacinto C. Nascimento (VISIGRAPP (4: VISAPP), 2016)

A Real-Time Pedestrian Detector using Deep Learning for Human-Aware Navigation. - David Ribeiro; André Mateus 001; Jacinto C. Nascimento; Pedro Miraldo (CoRR, 2016)

A Window-Based Classifier for Automatic Video-Based Reidentification. - Dario Figueira; Matteo Taiana; Jacinto C. Nascimento; Alexandre Bernardino (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions1. - Gustavo Carneiro 001; Jacinto C. Nascimento; Andrew P. Bradley (Deep Learning for Medical Image Analysis, 2017)

Context-Aware Person Re-Identification in the Wild Via Fusion of Gait and Anthropometric Features. - Athira M. Nambiar; Alexandre Bernardino; Jacinto C. Nascimento; Ana L. N. Fred (FG, 2017)

Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection. - David Ribeiro; Gustavo Carneiro 001; Jacinto C. Nascimento; Alexandre Bernardino (IbPRIA, 2017)

A real-time Deep Learning pedestrian detector for robot navigation. - David Ribeiro; André Mateus 001; Pedro Miraldo; Jacinto C. Nascimento (ICARSC, 2017)

A sparse approach to pedestrian trajectory modeling using multiple motion fields. - Catarina Barata; Jacinto C. Nascimento; Jorge S. Marques (ICIP, 2017)

Fast and accurate segmentation of the LV in MR volumes using a deformable model with dynamic programming. - Carlos Santiago; Jacinto C. Nascimento; Jorge S. Marques (ICIP, 2017)

Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. - Gustavo Carneiro 001; Luke Oakden-Rayner; Andrew P. Bradley; Jacinto C. Nascimento; Lyle J. Palmer (ISBI, 2017)

Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI. - Gabriel Maicas; Gustavo Carneiro 001; Andrew P. Bradley; Jacinto C. Nascimento; Ian D. Reid 001 (MICCAI (3), 2017)

Towards Touch-Based Medical Image Diagnosis Annotation. - Francisco M. Calisto; Alfredo Ferreira; Jacinto C. Nascimento; Daniel Gonçalves 002 (ISS, 2017)

Towards View-point Invariant Person Re-identification via Fusion of Anthropometric and Gait Features from Kinect Measurements. - Athira M. Nambiar; Alexandre Bernardino; Jacinto C. Nascimento; Ana L. N. Fred (VISIGRAPP (5: VISAPP), 2017)

A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes. - Carlos Santiago; Jacinto C. Nascimento; Jorge S. Marques (Neural Comput. Appl., 2017)

Improving the performance of pedestrian detectors using convolutional learning. - David Ribeiro; Jacinto C. Nascimento; Alexandre Bernardino; Gustavo Carneiro 001 (Pattern Recognit., 2017)

Deep Learning on Sparse Manifolds for Faster Object Segmentation. - Jacinto C. Nascimento; Gustavo Carneiro 001 (IEEE Trans. Image Process., 2017)

Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning. - Gustavo Carneiro 001; Jacinto C. Nascimento; Andrew P. Bradley (IEEE Trans. Medical Imaging, 2017)

Improving a Switched Vector Field Model for Pedestrian Motion Analysis. - Catarina Barata; Jacinto C. Nascimento; Jorge S. Marques (ACIVS, 2018)

Robust Feature Descriptors for Object Segmentation Using Active Shape Models. - Daniela O. Medley; Carlos Santiago; Jacinto C. Nascimento (ACIVS, 2018)

Combining an Active Shape and Motion Models for Object Segmentation in Image Sequences. - Carlos Santiago; Jacinto C. Nascimento; Jorge S. Marques (ICIP, 2018)

Training Medical Image Analysis Systems like Radiologists. - Gabriel Maicas; Andrew P. Bradley; Jacinto C. Nascimento; Ian D. Reid 001; Gustavo Carneiro 001 (MICCAI (1), 2018)

Cross-context Analysis for Long-term View-point Invariant Person Re-identification via Soft-biometrics using Depth Sensor. - Athira M. Nambiar; Alexandre Bernardino; Jacinto C. Nascimento (VISIGRAPP (5: VISAPP), 2018)

1st MICCAI workshop on deep learning in medical image analysis. - Gustavo Carneiro 001; João Manuel R. S. Tavares; Andrew P. Bradley; João Paulo Papa; Jacinto C. Nascimento; Jaime S. Cardoso 001; Zhi Lu; Vasileios Belagiannis (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Fast segmentation of the left ventricle in cardiac MRI using dynamic programming. - Carlos Santiago; Jacinto C. Nascimento; Jorge S. Marques (Comput. Methods Programs Biomed., 2018)

Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI. - Gabriel Maicas; Andrew P. Bradley; Jacinto C. Nascimento; Ian D. Reid 001; Gustavo Carneiro 001 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Multiple Agents Representation Using Motion Fields. - Catarina Barata; Jacinto C. Nascimento; Jorge S. Marques (ICASSP, 2019)

OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras. - Gonçalo Dias Pais; Tiago J. Dias; Jacinto C. Nascimento; Pedro Miraldo (ICRA, 2019)

Segmenting The Left Ventricle In Cardiac In Cardiac MRI: From Handcrafted To Deep Region Based Descriptors. - Daniela O. Medley; Carlos Santiago; Jacinto C. Nascimento (ISBI, 2019)

Editorial. - Gustavo Carneiro 001; João Manuel R. S. Tavares; Andrew P. Bradley; João Paulo Papa; Jacinto C. Nascimento; Jaime S. Cardoso 001; Zhi Lu; Vasileios Belagiannis (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

Gait-based Person Re-identification: A Survey. - Athira M. Nambiar; Alexandre Bernardino; Jacinto C. Nascimento (ACM Comput. Surv., 2019)

Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. - Gabriel Maicas; Andrew P. Bradley; Jacinto C. Nascimento; Ian Reid 001; Gustavo Carneiro 001 (Medical Image Anal., 2019)

Efficient and robust Pedestrian Detection using Deep Learning for Human-Aware Navigation. - André Mateus 001; David Ribeiro; Pedro Miraldo; Jacinto C. Nascimento (Robotics Auton. Syst., 2019)

BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis. - Francisco Maria Calisto; Nuno Nunes 001; Jacinto C. Nascimento (AVI, 2020)

3DRegNet: A Deep Neural Network for 3D Point Registration. - Gonçalo Dias Pais; Srikumar Ramalingam; Venu Madhav Govindu; Jacinto C. Nascimento; Rama Chellappa; Pedro Miraldo (CVPR, 2020)

Unsupervised Task Design to Meta-Train Medical Image Classifiers. - Gabriel Maicas; Cuong Nguyen 006; Farbod Motlagh; Jacinto C. Nascimento; Gustavo Carneiro 001 (ISBI, 2020)

Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification. - Renato Hermoza; Gabriel Maicas; Jacinto C. Nascimento; Gustavo Carneiro 001 (MICCAI (6), 2020)

Special issue: 4th MICCAI workshop on deep learning in medical image analysis. - Gustavo Carneiro 001; João Manuel R. S. Tavares; Andrew P. Bradley; João Paulo Papa; Vasileios Belagiannis; Jacinto C. Nascimento; Zhi Lu (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization. - Jacinto C. Nascimento; Gustavo Carneiro 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Deep Active Shape Model for Robust Object Fitting. - Daniela O. Medley; Carlos Santiago; Jacinto C. Nascimento (IEEE Trans. Image Process., 2020)

Post-Hoc Overall Survival Time Prediction From Brain MRI. - Renato Hermoza; Gabriel Maicas; Jacinto C. Nascimento; Gustavo Carneiro 001 (ISBI, 2021)

Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification. - Francisco Maria Calisto; Carlos Santiago; Nuno Nunes 001; Jacinto C. Nascimento (Int. J. Hum. Comput. Stud., 2021)

Sparse motion fields for trajectory prediction. - Catarina Barata; Jacinto C. Nascimento; João Miranda Lemos; Jorge S. Marques (Pattern Recognit., 2021)

LOW: Training deep neural networks by learning optimal sample weights. - Carlos Santiago; Catarina Barata; Michele Sasdelli; Gustavo Carneiro 001; Jacinto C. Nascimento (Pattern Recognit., 2021)

Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images. - Renato Hermoza; Gabriel Maicas; Jacinto C. Nascimento; Gustavo Carneiro 001 (MICCAI (8), 2022)

BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions. - Francisco Maria Calisto; Carlos Santiago; Nuno Nunes 001; Jacinto C. Nascimento (Artif. Intell. Medicine, 2022)

Modeling adoption of intelligent agents in medical imaging. - Francisco Maria Calisto; Nuno Nunes 001; Jacinto C. Nascimento (Int. J. Hum. Comput. Stud., 2022)

CyCoSeg: A Cyclic Collaborative Framework for Automated Medical Image Segmentation. - Daniela O. Medley; Carlos Santiago; Jacinto C. Nascimento (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Model-Agnostic Temporal Regularizer for Object Localization Using Motion Fields. - Carlos Santiago; Daniela O. Medley; Jorge S. Marques; Jacinto C. Nascimento (IEEE Trans. Image Process., 2022)

Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis. - Francisco Maria Calisto; João Gabriel de Matos Fernandes; Margarida Morais; Carlos Santiago; João Maria Veigas Abrantes; Nuno Jardim Nunes; Jacinto C. Nascimento (CHI, 2023)

Weakly-Supervised Diagnosis and Detection of Breast Cancer Using Deep Multiple Instance Learning. - Pedro Diogo; Margarida Morais; Francisco Maria Calisto; Carlos Santiago; Clara Aleluia; Jacinto C. Nascimento (ISBI, 2023)

Convolutional Siamese Networks for Myocardial Lesion Classification in T1 Maps. - Mac Golub; Carlos Santiago; C. Baleia; Pedro Lopes 001; Alfredo Ferreira; Rita Gouveia Nunes; Jacinto C. Nascimento (ISBI, 2023)

Classification of Breast Cancer in Mri with Multimodal Fusion. - Margarida Morais; Francisco Maria Calisto; Carlos Santiago; Clara Aleluia; Jacinto C. Nascimento (ISBI, 2023)

MDF-Net: Multimodal Dual-Fusion Network for Abnormality Detection using CXR Images and Clinical Data. - Chihcheng Hsieh; Isabel Blanco Nobre; Sandra Costa Sousa; Chun Ouyang 001; Margot Brereton; Jacinto C. Nascimento; Joaquim Jorge 001; Catarina Moreira (CoRR, 2023)

2D Image head pose estimation via latent space regression under occlusion settings. - José Celestino; Manuel Marques; Jacinto C. Nascimento; João Paulo Costeira (Pattern Recognit., 2023)

Using Counterfactual Information for Breast Classification Diagnosis. - Miguel Cardoso; Carlos Santiago; Jacinto C. Nascimento (CVPR Workshops, 2024)

Latent Embedding Clustering for Occlusion Robust Head Pose Estimation. - José Celestino; Manuel Marques; Jacinto C. Nascimento (FG, 2024)

Weakly-supervised preclinical tumor localization associated with survival prediction from lung cancer screening Chest X-ray images. - Renato Hermoza; Jacinto C. Nascimento; Gustavo Carneiro 001 (Comput. Medical Imaging Graph., 2024)

Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis. - Diogo J. Araújo; Maria Rita Verdelho; Alceu Bissoto; Jacinto C. Nascimento; Carlos Santiago; Catarina Barata (CoRR, 2024)

SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors. - Alexandre Duarte; Francisco Fernandes; João M. Pereira 001; Catarina Moreira; Jacinto C. Nascimento; Joaquim Jorge 001 (CoRR, 2024)

Correspondence Free Multivector Cloud Registration using Conformal Geometric Algebra. - Francisco Xavier Vasconcelos; Jacinto C. Nascimento (CoRR, 2024)

DALL-M: Context-Aware Clinical Data Augmentation with LLMs. - Chihcheng Hsieh; Catarina Moreira; Isabel Blanco Nobre; Sandra Costa Sousa; Chun Ouyang 001; Margot Brereton; Joaquim Jorge 001; Jacinto C. Nascimento (CoRR, 2024)

Selfredepth. - Alexandre Duarte; Francisco Fernandes; João M. Pereira 001; Catarina Moreira; Jacinto C. Nascimento; Joaquim Jorge 001 (J. Real Time Image Process., 2024)

SurfR: Surface Reconstruction with Multi-Scale Attention. - Siddhant Ranade; Gonçalo Dias Pais; Ross Tyler Whitaker; Jacinto C. Nascimento; Pedro Miraldo; Srikumar Ramalingam (3DV, 2025)

DALL-M: Context-aware clinical data augmentation with large language models. - Chihcheng Hsieh; Catarina Moreira; Isabel Blanco Nobre; Sandra Costa Sousa; Chun Ouyang 001; Margot Brereton; Joaquim Jorge 001; Jacinto C. Nascimento (Comput. Biol. Medicine, 2025)

Personalized explanations for clinician-AI interaction in breast imaging diagnosis by adapting communication to expertise levels. - Francisco Maria Calisto; João Maria Veigas Abrantes; Carlos Santiago; Nuno Jardim Nunes; Jacinto C. Nascimento (Int. J. Hum. Comput. Stud., 2025)