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2020 – today
- 2023
[i13]Chihcheng Hsieh, Isabel Blanco Nobre, Sandra Costa Sousa, Chun Ouyang, Margot Brereton, Jacinto C. Nascimento, Joaquim Jorge, Catarina Moreira:
MDF-Net: Multimodal Dual-Fusion Network for Abnormality Detection using CXR Images and Clinical Data. CoRR abs/2302.13390 (2023)- 2022
- [j47]Francisco Maria Calisto
, Carlos Santiago, Nuno Nunes, Jacinto C. Nascimento:
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions. Artif. Intell. Medicine 127: 102285 (2022) - [j46]Francisco Maria Calisto, Nuno Nunes, Jacinto C. Nascimento:
Modeling adoption of intelligent agents in medical imaging. Int. J. Hum. Comput. Stud. 168: 102922 (2022) - [j45]Daniela O. Medley, Carlos Santiago, Jacinto C. Nascimento:
CyCoSeg: A Cyclic Collaborative Framework for Automated Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8167-8182 (2022) - [j44]Carlos Santiago, Daniela O. Medley, Jorge S. Marques, Jacinto C. Nascimento:
Model-Agnostic Temporal Regularizer for Object Localization Using Motion Fields. IEEE Trans. Image Process. 31: 2478-2487 (2022) - [c83]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images. MICCAI (8) 2022: 213-222 - [i12]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images. CoRR abs/2205.13226 (2022) - 2021
- [j43]Francisco Maria Calisto, Carlos Santiago, Nuno Nunes, Jacinto C. Nascimento:
Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification. Int. J. Hum. Comput. Stud. 150: 102607 (2021) - [j42]Carlos Santiago, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Jacinto C. Nascimento:
LOW: Training deep neural networks by learning optimal sample weights. Pattern Recognit. 110: 107585 (2021) - [j41]Catarina Barata, Jacinto C. Nascimento, João Miranda Lemos, Jorge S. Marques:
Sparse motion fields for trajectory prediction. Pattern Recognit. 110: 107631 (2021) - [c82]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Post-Hoc Overall Survival Time Prediction From Brain MRI. ISBI 2021: 1476-1480 - [i11]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Post-hoc Overall Survival Time Prediction from Brain MRI. CoRR abs/2102.10765 (2021) - 2020
- [j40]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu:
Special issue: 4th MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(5): 501 (2020) - [j39]Jacinto C. Nascimento, Gustavo Carneiro:
One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 3054-3070 (2020) - [j38]Daniela O. Medley, Carlos Santiago, Jacinto C. Nascimento:
Deep Active Shape Model for Robust Object Fitting. IEEE Trans. Image Process. 29: 2380-2394 (2020) - [c81]Francisco Maria Calisto, Nuno Nunes, Jacinto C. Nascimento:
BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis. AVI 2020: 49:1-49:5 - [c80]G. Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa, Pedro Miraldo:
3DRegNet: A Deep Neural Network for 3D Point Registration. CVPR 2020: 7191-7201 - [c79]Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro:
Unsupervised Task Design to Meta-Train Medical Image Classifiers. ISBI 2020: 1339-1342 - [c78]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification. MICCAI (6) 2020: 539-549 - [i10]Francisco Maria Calisto, Nuno Jardim Nunes, Jacinto Carlos Nascimento:
BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis. CoRR abs/2004.03500 (2020) - [i9]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification. CoRR abs/2005.10550 (2020)
2010 – 2019
- 2019
- [j37]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis:
Editorial. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(3): 241 (2019) - [j36]Athira M. Nambiar, Alexandre Bernardino, Jacinto C. Nascimento:
Gait-based Person Re-identification: A Survey. ACM Comput. Surv. 52(2): 33:1-33:34 (2019) - [j35]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro:
Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. Medical Image Anal. 58 (2019) - [j34]André Mateus, David Ribeiro, Pedro Miraldo, Jacinto C. Nascimento:
Efficient and robust Pedestrian Detection using Deep Learning for Human-Aware Navigation. Robotics Auton. Syst. 113: 23-37 (2019) - [c77]Catarina Barata, Jacinto C. Nascimento, Jorge S. Marques:
Multiple Agents Representation Using Motion Fields. ICASSP 2019: 2007-2011 - [c76]G. Dias Pais, Tiago J. Dias, Jacinto C. Nascimento, Pedro Miraldo:
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras. ICRA 2019: 4782-4789 - [c75]Daniela O. Medley, Carlos Santiago, Jacinto C. Nascimento:
Segmenting The Left Ventricle In Cardiac In Cardiac MRI: From Handcrafted To Deep Region Based Descriptors. ISBI 2019: 644-648 - [p2]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 163-178 - [i8]G. Dias Pais, Tiago J. Dias, Jacinto C. Nascimento, Pedro Miraldo:
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras. CoRR abs/1903.00676 (2019) - [i7]G. Dias Pais, Pedro Miraldo, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa:
3DRegNet: A Deep Neural Network for 3D Point Registration. CoRR abs/1904.01701 (2019) - [i6]Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro:
Unsupervised Task Design to Meta-Train Medical Image Classifiers. CoRR abs/1907.07816 (2019) - 2018
- [j33]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis:
1st MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 241-242 (2018) - [j32]Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques:
Fast segmentation of the left ventricle in cardiac MRI using dynamic programming. Comput. Methods Programs Biomed. 154: 9-23 (2018) - [c74]Catarina Barata, Jacinto C. Nascimento, Jorge S. Marques:
Improving a Switched Vector Field Model for Pedestrian Motion Analysis. ACIVS 2018: 3-13 - [c73]Daniela O. Medley, Carlos Santiago, Jacinto C. Nascimento:
Robust Feature Descriptors for Object Segmentation Using Active Shape Models. ACIVS 2018: 163-174 - [c72]Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques:
Combining an Active Shape and Motion Models for Object Segmentation in Image Sequences. ICIP 2018: 3703-3707 - [c71]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Training Medical Image Analysis Systems like Radiologists. MICCAI (1) 2018: 546-554 - [c70]Athira M. Nambiar, Alexandre Bernardino, Jacinto C. Nascimento:
Cross-context Analysis for Long-term View-point Invariant Person Re-identification via Soft-biometrics using Depth Sensor. VISIGRAPP (5: VISAPP) 2018: 105-113 - [e4]Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne L. Martel, Lena Maier-Hein, Kanwal K. Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga:
Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings. Lecture Notes in Computer Science 11040, Springer 2018, ISBN 978-3-030-00945-8 [contents] - [e3]Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi:
Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11045, Springer 2018, ISBN 978-3-030-00888-8 [contents] - [i5]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Training Medical Image Analysis Systems like Radiologists. CoRR abs/1805.10884 (2018) - [i4]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro:
Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI. CoRR abs/1809.09404 (2018) - 2017
- [j31]Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques:
A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes. Neural Comput. Appl. 28(9): 2489-2500 (2017) - [j30]David Ribeiro, Jacinto C. Nascimento, Alexandre Bernardino, Gustavo Carneiro:
Improving the performance of pedestrian detectors using convolutional learning. Pattern Recognit. 61: 641-649 (2017) - [j29]Jacinto C. Nascimento, Gustavo Carneiro:
Deep Learning on Sparse Manifolds for Faster Object Segmentation. IEEE Trans. Image Process. 26(10): 4978-4990 (2017) - [j28]Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley:
Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning. IEEE Trans. Medical Imaging 36(11): 2355-2365 (2017) - [c69]Athira M. Nambiar, Alexandre Bernardino, Jacinto C. Nascimento, Ana L. N. Fred:
Context-Aware Person Re-Identification in the Wild Via Fusion of Gait and Anthropometric Features. FG 2017: 973-980 - [c68]David Ribeiro, Gustavo Carneiro, Jacinto C. Nascimento, Alexandre Bernardino:
Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection. IbPRIA 2017: 122-130 - [c67]David Ribeiro, André Mateus, Pedro Miraldo, Jacinto C. Nascimento:
A real-time Deep Learning pedestrian detector for robot navigation. ICARSC 2017: 165-171 - [c66]Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques:
Fast and accurate segmentation of the LV in MR volumes using a deformable model with dynamic programming. ICIP 2017: 1747-1751 - [c65]Catarina Barata, Jacinto C. Nascimento, Jorge S. Marques:
A sparse approach to pedestrian trajectory modeling using multiple motion fields. ICIP 2017: 2538-2542 - [c64]Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer:
Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. ISBI 2017: 130-134 - [c63]Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid:
Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI. MICCAI (3) 2017: 665-673 - [c62]Francisco M. Calisto, Alfredo Ferreira, Jacinto C. Nascimento, Daniel Gonçalves:
Towards Touch-Based Medical Image Diagnosis Annotation. ISS 2017: 390-395 - [c61]Athira M. Nambiar, Alexandre Bernardino, Jacinto C. Nascimento, Ana L. N. Fred:
Towards View-point Invariant Person Re-identification via Fusion of Anthropometric and Gait Features from Kinect Measurements. VISIGRAPP (5: VISAPP) 2017: 108-119 - [p1]Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley:
Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions1. Deep Learning for Medical Image Analysis 2017: 321-339 - [e2]M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu:
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10553, Springer 2017, ISBN 978-3-319-67557-2 [contents] - 2016
- [j27]Dario Figueira, Matteo Taiana, Jacinto C. Nascimento, Alexandre Bernardino:
A Window-Based Classifier for Automatic Video-Based Reidentification. IEEE Trans. Syst. Man Cybern. Syst. 46(12): 1736-1747 (2016) - [c60]Athira M. Nambiar, Jacinto C. Nascimento, Alexandre Bernardino, José Santos-Victor:
Person Re-identification in Frontal Gait Sequences via Histogram of Optic Flow Energy Image. ACIVS 2016: 250-262 - [c59]Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques:
A new robust active shape model formulation for cardiac MRI segmentation. ICIP 2016: 4112-4115 - [c58]Jacinto C. Nascimento, Gustavo Carneiro:
Multi-atlas segmentation using manifold learning with deep belief networks. ISBI 2016: 867-871 - [c57]Athira M. Nambiar, Alexandre Bernardino, Jacinto C. Nascimento:
Person Re-identification based on Human Query on Soft Biometrics using SVM Regression. VISIGRAPP (4: VISAPP) 2016: 484-492 - [e1]Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew P. Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise:
Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Lecture Notes in Computer Science 10008, 2016, ISBN 978-3-319-46975-1 [contents] - [i3]Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer:
Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography. CoRR abs/1607.00267 (2016) - [i2]David Ribeiro, André Mateus, Jacinto C. Nascimento, Pedro Miraldo:
A Real-Time Deep Learning Pedestrian Detector for Robot Navigation. CoRR abs/1607.04436 (2016) - [i1]David Ribeiro, André Mateus, Jacinto C. Nascimento, Pedro Miraldo:
A Real-Time Pedestrian Detector using Deep Learning for Human-Aware Navigation. CoRR abs/1607.04441 (2016) - 2015
- [j26]Jacinto C. Nascimento, Miguel Barão, Jorge S. Marques, João Miranda Lemos:
An information geometric framework for the optimization on a discrete probability spaces: Application to human trajectory classification. Neurocomputing 150: 155-162 (2015) - [j25]Matteo Taiana, Jacinto C. Nascimento, Alexandre Bernardino:
On the purity of training and testing data for learning: The case of pedestrian detection. Neurocomputing 150: 214-226 (2015) - [j24]Athira M. Nambiar, Alexandre Bernardino, Jacinto C. Nascimento:
Shape Context for soft biometrics in person re-identification and database retrieval. Pattern Recognit. Lett. 68: 297-305 (2015) - [j23]Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques:
2D Segmentation Using a Robust Active Shape Model With the EM Algorithm. IEEE Trans. Image Process. 24(8): 2592-2601 (2015) - [j22]Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques:
Automatic 3-D Segmentation of Endocardial Border of the Left Ventricle From Ultrasound Images. IEEE J. Biomed. Health Informatics 19(1): 339-348 (2015) - [c56]Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques:
Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model. EMBC 2015: 7304-7307 - [c55]Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques:
Robust 3D Active Shape Model for the Segmentation of the Left Ventricle in MRI. IbPRIA 2015: 283-290 - [c54]Manya V. Afonso, Jacinto C. Nascimento:
Predictive multiple motion fields for trajectory completion: Application to surveillance systems. ICIP 2015: 2547-2551 - [c53]Jacinto C. Nascimento, Gustavo Carneiro:
Towards reduction of the training and search running time complexities for non-rigid object segmentation. ICIP 2015: 4713-4717 - [c52]Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley:
Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models. MICCAI (3) 2015: 652-660 - 2014
- [j21]Jacinto C. Nascimento, Jorge G. Silva, Jorge S. Marques, João Miranda Lemos:
Manifold Learning for Object Tracking With Multiple Nonlinear Models. IEEE Trans. Image Process. 23(4): 1593-1605 (2014) - [j20]Jacinto C. Nascimento, Miguel Barão, Jorge S. Marques, João Miranda Lemos:
Information Geometric Algorithm for Estimating Switching Probabilities in Space-Varying HMM. IEEE Trans. Image Process. 23(12): 5263-5273 (2014) - [j19]Manya V. Afonso, Jacinto C. Nascimento, Jorge S. Marques:
Automatic Estimation of Multiple Motion Fields From Video Sequences Using a Region Matching Based Approach. IEEE Trans. Multim. 16(1): 1-14 (2014) - [c51]Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques:
Non-rigid Object Segmentation Using Robust Active Shape Models. AMDO 2014: 160-169 - [c50]Jacinto C. Nascimento, Gustavo Carneiro:
Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks. CVPR 2014: 288-295 - [c49]Dario Figueira, Matteo Taiana, Athira M. Nambiar, Jacinto C. Nascimento, Alexandre Bernardino:
The HDA+ Data Set for Research on Fully Automated Re-identification Systems. ECCV Workshops (3) 2014: 241-255 - [c48]Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques:
A robust active shape model using an expectation-maximization framework. ICIP 2014: 6076-6080 - [c47]Matteo Taiana, Dario Figueira, Athira M. Nambiar, Jacinto C. Nascimento, Alexandre Bernardino:
Towards Fully Automated Person Re-identification. VISAPP (3) 2014: 140-147 - 2013
- [j18]Gustavo Carneiro, Jacinto C. Nascimento:
Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2592-2607 (2013) - [j17]Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques:
Activity Recognition Using a Mixture of Vector Fields. IEEE Trans. Image Process. 22(5): 1712-1725 (2013) - [j16]Jacinto C. Nascimento, Jorge S. Marques, João Miranda Lemos:
Modeling and Classifying Human Activities From Trajectories Using a Class of Space-Varying Parametric Motion Fields. IEEE Trans. Image Process. 22(5): 2066-2080 (2013) - [c46]Jacinto C. Nascimento, Gustavo Carneiro:
Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds. CVPR 2013: 1963-1970 - [c45]Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques:
Performance evaluation of point matching algorithms for left ventricle motion analysis in MRI. EMBC 2013: 4398-4401 - [c44]Jacinto C. Nascimento, Miguel Barão, Jorge S. Marques, João Miranda Lemos:
Efficient Optimization Algorithm for Space-Variant Mixture of Vector Fields. IbPRIA 2013: 79-88 - [c43]Matteo Taiana, Jacinto C. Nascimento, Alexandre Bernardino:
An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection. IbPRIA 2013: 286-295 - [c42]Carlos Santiago, Jacinto C. Nascimento, Jorge S. Marques:
3D left ventricular segmentation in echocardiography using a probabilistic data association deformable model. ICIP 2013: 606-610 - [c41]Jacinto C. Nascimento, Gustavo Carneiro:
Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imagery. ICIP 2013: 743-746 - [c40]Davide Periquito, Jacinto C. Nascimento, Alexandre Bernardino, João Sequeira:
Single Camera Hand Pose Estimation from Bottom-Up and Top-Down Processes. VISIGRAPP (Selected Papers) 2013: 212-227 - [c39]Davide Periquito, Jacinto C. Nascimento, Alexandre Bernardino, João Sequeira:
Vision-based Hand Pose Estimation - A Mixed Bottom-up and Top-down Approach. VISAPP (1) 2013: 566-573 - 2012
- [j15]Gustavo Carneiro, Jacinto C. Nascimento, António Freitas:
The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods. IEEE Trans. Image Process. 21(3): 968-982 (2012) - [c38]Gustavo Carneiro, Jacinto C. Nascimento:
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound. CVPR 2012: 948-955 - [c37]Jacinto C. Nascimento, Jorge S. Marques, João Miranda Lemos:
A class of space-varying parametric motion fields for human activity recognition. ICIP 2012: 761-764 - [c36]Jacinto C. Nascimento, Gustavo Carneiro:
On-line re-training and segmentation with reduction of the training set: Application to the left ventricle detection in ultrasound imaging. ICIP 2012: 2001-2004 - [c35]Carlos Santiago, Jorge S. Marques, Jacinto C. Nascimento:
Robust Deformable Model for Segmenting the Left Ventricle in 3D Volumes of Ultrasound Data. ICPRAM (1) 2012: 333-340 - [c34]Manya V. Afonso, Jorge S. Marques, Jacinto C. Nascimento:
Automatic Estimation of Multiple Motion Fields using Object Trajectories and Optical Flow. ICPRAM (2) 2012: 457-462 - 2011
- [c33]Jorge S. Marques, João Miranda Lemos, Mário A. T. Figueiredo, Jacinto C. Nascimento, Miguel Barão:
Trajectory Analysis Using Switched Motion Fields: A Parametric Approach. IbPRIA 2011: 420-427 - [c32]Gustavo Carneiro, Jacinto C. Nascimento:
Incremental on-line semi-supervised learning for segmenting the left ventricle of the heart from ultrasound data. ICCV 2011: 1700-1707 - [c31]Jacinto C. Nascimento, Jorge S. Marques, João Miranda Lemos:
Flexible trajectory modeling using a mixture of parametric motion fields for video surveillance. ICIP 2011: 1413-1416 - [c30]Jacinto C. Nascimento, Jorge S. Marques, Mário A. T. Figueiredo:
Discriminative model selection using a modified Bayesian criterion: Application to trajectory modeling. ICIP 2011: 1429-1432 - [c29]Jacinto C. Nascimento, Gustavo Carneiro:
Reducing the training set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images. ICIP 2011: 2021-2024 - [c28]Jacinto C. Nascimento, Jorge S. Silva:
Lip contour tracking using multiple dynamic models on a manifold. ICIP 2011: 2321-2324 - [c27]Gustavo Carneiro, Jacinto C. Nascimento, António Freitas:
Semi-supervised self-trainingmodel for the segmentationof the left ventricle of the heart from ultrasound data. ISBI 2011: 1295-1301 - 2010
- [j14]