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Jacinto C. Nascimento
Jacinto Carlos Nascimento
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2020 – today
- 2024
- [j50]Renato Hermoza, Jacinto C. Nascimento, Gustavo Carneiro
:
Weakly-supervised preclinical tumor localization associated with survival prediction from lung cancer screening Chest X-ray images. Comput. Medical Imaging Graph. 115: 102395 (2024) - [j49]Alexandre Duarte, Francisco Fernandes, João M. Pereira, Catarina Moreira, Jacinto C. Nascimento, Joaquim Jorge:
Selfredepth. J. Real Time Image Process. 21(4): 124 (2024) - [c89]Miguel Cardoso, Carlos Santiago, Jacinto C. Nascimento:
Using Counterfactual Information for Breast Classification Diagnosis. CVPR Workshops 2024: 4996-5002 - [c88]José Celestino, Manuel Marques
Latent Embedding Clustering for Occlusion Robust Head Pose Estimation. FG 2024: 1-9 - [i19]José Celestino, Manuel Marques, Jacinto C. Nascimento:
Latent Embedding Clustering for Occlusion Robust Head Pose Estimation. CoRR abs/2403.20251 (2024) - [i18]Diogo J. Araújo, Maria Rita Verdelho, Alceu Bissoto, Jacinto C. Nascimento, Carlos Santiago, Catarina Barata:
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis. CoRR abs/2405.01654 (2024) - [i17]Alexandre Duarte, Francisco Fernandes, João M. Pereira, Catarina Moreira, Jacinto C. Nascimento, Joaquim Jorge:
SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors. CoRR abs/2406.03388 (2024) - [i16]Francisco Xavier Vasconcelos, Jacinto C. Nascimento:
Correspondence Free Multivector Cloud Registration using Conformal Geometric Algebra. CoRR abs/2406.11732 (2024) - [i15]Chihcheng Hsieh, Catarina Moreira, Isabel Blanco Nobre, Sandra Costa Sousa, Chun Ouyang, Margot Brereton, Joaquim Jorge, Jacinto C. Nascimento:
DALL-M: Context-Aware Clinical Data Augmentation with LLMs. CoRR abs/2407.08227 (2024) - 2023
- [j48]José Celestino
2D Image head pose estimation via latent space regression under occlusion settings. Pattern Recognit. 137: 109288 (2023) - [c87]Francisco Maria Calisto
Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis. CHI 2023: 13:1-13:20 - [c86]Pedro Diogo, Margarida Morais, Francisco Maria Calisto, Carlos Santiago, Clara Aleluia, Jacinto C. Nascimento:
Weakly-Supervised Diagnosis and Detection of Breast Cancer Using Deep Multiple Instance Learning. ISBI 2023: 1-4 - [c85]Mac Golub, Carlos Santiago, C. Baleia, Pedro Lopes, Alfredo Ferreira, Rita Gouveia Nunes, Jacinto C. Nascimento:
Convolutional Siamese Networks for Myocardial Lesion Classification in T1 Maps. ISBI 2023: 1-4 - [c84]Margarida Morais, Francisco Maria Calisto, Carlos Santiago, Clara Aleluia, Jacinto C. Nascimento:
Classification of Breast Cancer in Mri with Multimodal Fusion. ISBI 2023: 1-4 - [i14]Chihcheng Hsieh, Isabel Blanco Nobre, Sandra Costa Sousa, Chun Ouyang, Margot Brereton
MDF-Net: Multimodal Dual-Fusion Network for Abnormality Detection using CXR Images and Clinical Data. CoRR abs/2302.13390 (2023) - [i13]José Celestino, Manuel Marques
2D Image head pose estimation via latent space regression under occlusion settings. CoRR abs/2311.06038 (2023) - 2022
- [j47]Francisco Maria Calisto
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions. Artif. Intell. Medicine 127: 102285 (2022) - [j46]Francisco Maria Calisto
Modeling adoption of intelligent agents in medical imaging. Int. J. Hum. Comput. Stud. 168: 102922 (2022) - [j45]Daniela O. Medley
CyCoSeg: A Cyclic Collaborative Framework for Automated Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8167-8182 (2022) - [j44]Carlos Santiago
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
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
LOW: Training deep neural networks by learning optimal sample weights. Pattern Recognit. 110: 107585 (2021) - [j41]Catarina Barata
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
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
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
Deep Active Shape Model for Robust Object Fitting. IEEE Trans. Image Process. 29: 2380-2394 (2020) - [c81]Francisco Maria Calisto
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
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
Editorial. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(3): 241 (2019) - [j36]Athira M. Nambiar
Gait-based Person Re-identification: A Survey. ACM Comput. Surv. 52(2): 33:1-33:34 (2019) - [j35]Gabriel Maicas, Andrew P. Bradley
Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. Medical Image Anal. 58 (2019) - [j34]André Mateus
Efficient and robust Pedestrian Detection using Deep Learning for Human-Aware Navigation. Robotics Auton. Syst. 113: 23-37 (2019) - [c77]Catarina Barata
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
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
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
Unsupervised Task Design to Meta-Train Medical Image Classifiers. CoRR abs/1907.07816 (2019) - 2018
- [j33]Gustavo Carneiro
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
Fast segmentation of the left ventricle in cardiac MRI using dynamic programming. Comput. Methods Programs Biomed. 154: 9-23 (2018) - [c74]Catarina Barata
Improving a Switched Vector Field Model for Pedestrian Motion Analysis. ACIVS 2018: 3-13 - [c73]Daniela O. Medley
Robust Feature Descriptors for Object Segmentation Using Active Shape Models. ACIVS 2018: 163-174 - [c72]Carlos Santiago
Combining an Active Shape and Motion Models for Object Segmentation in Image Sequences. ICIP 2018: 3703-3707 - [c71]Gabriel Maicas, Andrew P. Bradley
Training Medical Image Analysis Systems like Radiologists. MICCAI (1) 2018: 546-554 - [c70]Athira M. Nambiar
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
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
Improving the performance of pedestrian detectors using convolutional learning. Pattern Recognit. 61: 641-649 (2017) - [j29]Jacinto C. Nascimento
Deep Learning on Sparse Manifolds for Faster Object Segmentation. IEEE Trans. Image Process. 26(10): 4978-4990 (2017) - [j28]Gustavo Carneiro
Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning. IEEE Trans. Medical Imaging 36(11): 2355-2365 (2017) - [c69]Athira M. Nambiar
Context-Aware Person Re-Identification in the Wild Via Fusion of Gait and Anthropometric Features. FG 2017: 973-980 - [c68]David Ribeiro, Gustavo Carneiro
Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection. IbPRIA 2017: 122-130 - [c67]David Ribeiro, André Mateus
A real-time Deep Learning pedestrian detector for robot navigation. ICARSC 2017: 165-171 - [c66]Carlos Santiago
Fast and accurate segmentation of the LV in MR volumes using a deformable model with dynamic programming. ICIP 2017: 1747-1751 - [c65]Catarina Barata
A sparse approach to pedestrian trajectory modeling using multiple motion fields. ICIP 2017: 2538-2542 - [c64]Gustavo Carneiro
Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. ISBI 2017: 130-134 - [c63]Gabriel Maicas, Gustavo Carneiro
Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI. MICCAI (3) 2017: 665-673 - [c62]Francisco M. Calisto
Towards Touch-Based Medical Image Diagnosis Annotation. ISS 2017: 390-395 - [c61]Athira M. Nambiar
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
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
A Window-Based Classifier for Automatic Video-Based Reidentification. IEEE Trans. Syst. Man Cybern. Syst. 46(12): 1736-1747 (2016) - [c60]Athira M. Nambiar
Person Re-identification in Frontal Gait Sequences via Histogram of Optic Flow Energy Image. ACIVS 2016: 250-262 - [c59]Carlos Santiago
A new robust active shape model formulation for cardiac MRI segmentation. ICIP 2016: 4112-4115 - [c58]Jacinto C. Nascimento
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
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
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
On the purity of training and testing data for learning: The case of pedestrian detection. Neurocomputing 150: 214-226 (2015) - [j24]Athira M. Nambiar
Shape Context for soft biometrics in person re-identification and database retrieval. Pattern Recognit. Lett. 68: 297-305 (2015) - [j23]Carlos Santiago
2D Segmentation Using a Robust Active Shape Model With the EM Algorithm. IEEE Trans. Image Process. 24(8): 2592-2601 (2015) - [j22]Carlos Santiago
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
Segmentation of the left ventricle in cardiac MRI using a probabilistic data association active shape model. EMBC 2015: 7304-7307 - [c55]Carlos Santiago
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
Towards reduction of the training and search running time complexities for non-rigid object segmentation. ICIP 2015: 4713-4717 - [c52]Gustavo Carneiro
Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models. MICCAI (3) 2015: 652-660 - 2014
- [j21]Jacinto C. Nascimento
Manifold Learning for Object Tracking With Multiple Nonlinear Models. IEEE Trans. Image Process. 23(4): 1593-1605 (2014) - [j20]Jacinto C. Nascimento
Information Geometric Algorithm for Estimating Switching Probabilities in Space-Varying HMM. IEEE Trans. Image Process. 23(12): 5263-5273 (2014) - [j19]Manya V. Afonso
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
Non-rigid Object Segmentation Using Robust Active Shape Models. AMDO 2014: 160-169 - [c50]Jacinto C. Nascimento
Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks. CVPR 2014: 288-295 - [c49]Dario Figueira, Matteo Taiana
The HDA+ Data Set for Research on Fully Automated Re-identification Systems. ECCV Workshops (3) 2014: 241-255 - [c48]Carlos Santiago
A robust active shape model using an expectation-maximization framework. ICIP 2014: 6076-6080 - [c47]Matteo Taiana
Towards Fully Automated Person Re-identification. VISAPP (3) 2014: 140-147 - 2013
- [j18]Gustavo Carneiro
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
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
Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds. CVPR 2013: 1963-1970 - [c45]Carlos Santiago
Performance evaluation of point matching algorithms for left ventricle motion analysis in MRI. EMBC 2013: 4398-4401 - [c44]Jacinto C. Nascimento
Efficient Optimization Algorithm for Space-Variant Mixture of Vector Fields. IbPRIA 2013: 79-88 - [c43]Matteo Taiana
An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection. IbPRIA 2013: 286-295 - [c42]Carlos Santiago
3D left ventricular segmentation in echocardiography using a probabilistic data association deformable model. ICIP 2013: 606-610 - [c41]Jacinto C. Nascimento
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
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
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
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
A class of space-varying parametric motion fields for human activity recognition. ICIP 2012: 761-764 - [c36]Jacinto C. Nascimento
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
Trajectory Analysis Using Switched Motion Fields: A Parametric Approach. IbPRIA 2011: 420-427 - [c32]Gustavo Carneiro
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
Flexible trajectory modeling using a mixture of parametric motion fields for video surveillance. ICIP 2011: 1413-1416 - [c30]Jacinto C. Nascimento
Discriminative model selection using a modified Bayesian criterion: Application to trajectory modeling. ICIP 2011: 1429-1432 - [c29]Jacinto C. Nascimento
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
Lip contour tracking using multiple dynamic models on a manifold. ICIP 2011: 2321-2324 - [c27]Gustavo Carneiro
Semi-supervised self-trainingmodel for the segmentationof the left ventricle of the heart from ultrasound data. ISBI 2011: 1295-1301 - 2010
- [j14]Matteo Taiana
Tracking objects with generic calibrated sensors: An algorithm based on color and 3D shape features. Robotics Auton. Syst. 58(6): 784-795 (2010) - [j13]Jacinto C. Nascimento
Trajectory Classification Using Switched Dynamical Hidden Markov Models. IEEE Trans. Image Process. 19(5): 1338-1348 (2010) - [c26]Gustavo Carneiro
Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures. CVPR 2010: 2815-2822 - [c25]Jacinto C. Nascimento
Manifold Learning for Object Tracking with Multiple Motion Dynamics. ECCV (3) 2010: 172-185 - [c24]Jacinto C. Nascimento
Improving the robustness of gradient vector flowin cluttered images. ICIP 2010: 657-660 - [c23]Jacinto C. Nascimento
Classification of complex pedestrian activities from trajectories. ICIP 2010: 3481-3484 - [c22]Jacinto C. Nascimento
Efficient search methods and deep belief networks with particle filtering for non-rigid tracking: Application to lip tracking. ICIP 2010: 3817-3820 - [c21]Jacinto C. Nascimento
Discriminative model selection for object motion recognition. ICIP 2010: 3953-3956 - [c20]Gustavo Carneiro
The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking. ICPR 2010: 2065-2068 - [c19]Gustavo Carneiro
Robust left ventricle segmentation from ultrasound data using deep neural networks and efficient search methods. ISBI 2010: 1085-1088
2000 – 2009
- 2009
- [j12]Margarida Silveira
Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images. IEEE J. Sel. Top. Signal Process. 3(1): 35-45 (2009) - [c18]Jacinto C. Nascimento
Trajectory Modeling Using Mixtures of Vector Fields. IbPRIA 2009: 40-47 - [c17]Jacinto C. Nascimento
Trajectory analysis in natural images using mixtures of vector fields. ICIP 2009: 4353-4356 - 2008
- [j11]Jacinto C. Nascimento
Independent increment processes for human motion recognition. Comput. Vis. Image Underst. 109(2): 126-138 (2008) - [j10]Jacinto C. Nascimento
Robust Shape Tracking With Multiple Models in Ultrasound Images. IEEE Trans. Image Process. 17(3): 392-406 (2008) - [j9]João M. Sanches
Medical Image Noise Reduction Using the Sylvester-Lyapunov Equation. IEEE Trans. Image Process. 17(9): 1522-1539 (2008) - [c16]Matteo Taiana
Sample-Based 3D Tracking of Colored Objects : A Flexible Architecture. BMVC 2008: 1-10 - [c15]Jacinto C. Nascimento
Ultrasound imaging LV tracking with adaptive window size and automatic hyper-parameter estimation. ICIP 2008: 553-556 - [c14]Jacinto C. Nascimento
Unsupervised learning of motion patterns using generative models. ICIP 2008: 761-764 - [c13]Margarida Silveira
Level set segmentation with outlier rejection. ICIP 2008: 1085-1088 - 2007
- [c12]Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques:
On-Line Classification of Human Activities. IbPRIA (2) 2007: 444-451 - [c11]Jacinto C. Nascimento, João M. Sanches
Tracking the Left Ventricle in Ultrasound Images Based on Total Variation Denoising. IbPRIA (2) 2007: 628-636 - [c10]Jacinto C. Nascimento
Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications. ICIP (3) 2007: 197-200 - [c9]Matteo Tajana
On the use of perspective catadioptric sensors for 3D model-based tracking with particle filters. IROS 2007: 2747-2752 - [c8]Matteo Taiana
3D Tracking by Catadioptric Vision Based on Particle Filters. RoboCup 2007: 77-88 - 2006
- [j8]Jacinto C. Nascimento
Corrections to "Adaptive Snakes Using the EM Algorithm". IEEE Trans. Image Process. 15(3): 788-788 (2006) - [j7]Jacinto C. Nascimento
Performance Evaluation of Object Detection Algorithms for Video Surveillance. IEEE Trans. Multim. 8(4): 761-774 (2006) - [c7]Jacinto C. Nascimento
A Method for the Dynamic Analysis of the Heart Using a Lyapounov Based Denoising Algorithm. EMBC 2006: 4828-4831 - 2005
- [j6]Jacinto C. Nascimento
Adaptive snakes using the EM algorithm. IEEE Trans. Image Process. 14(11): 1678-1686 (2005) - [c6]Jacinto C. Nascimento
Recognition of human activities using space dependent switched dynamical models. ICIP (3) 2005: 852-855 - 2004
- [j5]Gilles Celeux, Jacinto C. Nascimento
Learning switching dynamic models for objects tracking. Pattern Recognit. 37(9): 1841-1853 (2004) - [j4]Jacinto C. Nascimento
Robust shape tracking in the presence of cluttered background. IEEE Trans. Multim. 6(6): 852-861 (2004) - 2003
- [j3]Jacinto C. Nascimento
An adaptive potential for robust shape estimation. Image Vis. Comput. 21(13-14): 1107-1116 (2003) - [j2]Jacinto C. Nascimento
Using middle level features for robust shape tracking. Pattern Recognit. Lett. 24(1-3): 295-307 (2003) - [c5]Jacinto C. Nascimento, Jorge S. Marques, João M. Sanches
Estimation of cardiac phases in echographic images using multiple models. ICIP (2) 2003: 149-152 - 2002
- [j1]Jacinto C. Nascimento
Improving the robustness of parametric shape tracking with switched multiple models. Pattern Recognit. 35(12): 2711-2718 (2002) - 2001
- [c4]Jacinto C. Nascimento, Jorge S. Marques:
An Adaptive Potential for Robust Shape Estimation. BMVC 2001: 1-10 - [c3]Jacinto C. Nascimento, Jorge S. Marques:
Improving the Robustness of Parametric Shape Tracking with Switched Multiple Models. PRIS 2001: 50-58 - 2000
- [c2]Jacinto C. Nascimento, Jorge S. Marques:
Robust Shape Tracking in the Presence of Cluttered Background. ICIP 2000: 82-85
1990 – 1999
- 1999
- [c1]Jacinto C. Nascimento, Arnaldo J. Abrantes, Jorge S. Marques:
An algorithm for centroid-based tracking of moving objects. ICASSP 1999: 3305-3308
Coauthor Index
Francisco M. Calisto
aka: Francisco Maria Calisto
aka: Francisco Maria Calisto
[j44] [j41] [c77] [j32] [c74] [c72] [j31] [c66] [c65] [c59] [j26] [j23] [j22] [c56] [c55] [j21] [j20] [j19] [c51] [c48] [j17] [j16] [c45] [c44] [c42] [c37] [c35] [c34] [c33] [c31] [c30] [j13] [c24] [c23] [c21] [j12] [c18] [c17] [j11] [j10] [j9] [c14] [c13] [c12] [c11] [c10] [j8] [j7] [c7] [j6] [c6] [j5] [j4] [j3] [j2] [c5] [j1] [c4] [c3] [c2] [c1]
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