Gustavo Carneiro
Orcid: 0000-0002-5571-6220Affiliations:
- University of Surrey, UK
- University of Adelaide, Australian Institute for Machine Learning, Australia (former)
According to our database1,
Gustavo Carneiro
authored at least 249 papers
between 1999 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on surrey.ac.uk
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on orcid.org
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on d-nb.info
On csauthors.net:
Bibliography
2024
An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning.
IEEE Trans. Medical Imaging, January, 2024
IEEE Trans. Medical Imaging, January, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images.
Medical Image Anal., December, 2023
BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images.
IEEE Trans. Medical Imaging, April, 2023
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning.
Pattern Recognit., 2023
LongReMix: Robust learning with high confidence samples in a noisy label environment.
Pattern Recognit., 2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification.
CoRR, 2023
Learning to Complement with Multiple Humans (LECOMH): Integrating Multi-rater and Noisy-Label Learning into Human-AI Collaboration.
CoRR, 2023
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality.
CoRR, 2023
Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.
CoRR, 2022
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder.
CoRR, 2022
Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification.
CoRR, 2022
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness.
Proceedings of the Diabetic Foot Ulcers Grand Challenge - Third Challenge, 2022
Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes.
Proceedings of the Computer Vision - ECCV 2022, 2022
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Pattern Recognit., 2021
ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification.
CoRR, 2021
Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.
CoRR, 2021
Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors.
CoRR, 2021
Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features.
CoRR, 2021
Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning.
CoRR, 2021
Int. J. Comput. Assist. Radiol. Surg., 2021
Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: A systematic review and meta-analysis.
Artif. Intell. Medicine, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Self-Supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
3D Semantic Mapping from Arthroscopy Using Out-of-Distribution Pose and Depth and In-Distribution Segmentation Training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification.
Proceedings of the Diabetic Foot Ulcers Grand Challenge - Second Challenge, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
Combining Data Augmentation and Domain Distance Minimisation to Reduce Domain Generalisation Error.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images.
Medical Image Anal., 2020
Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy.
Medical Image Anal., 2020
Found. Trends Robotics, 2020
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020
Automatic Segmentation of Multiple Structures in Knee Arthroscopy Using Deep Learning.
IEEE Access, 2020
Saliency Improvement in Feature-Poor Surgical Environments Using Local Laplacian of Specified Histograms.
IEEE Access, 2020
Bayesian CNN for Segmentation Uncertainty Inference on 4D Ultrasound Images of the Femoral Cartilage for Guidance in Robotic Knee Arthroscopy.
IEEE Access, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Semi-Supervised Multi-Domain Multi-Task Training for Metastatic Colon Lymph Node Diagnosis from Abdominal CT.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Digital Image Computing: Techniques and Applications, 2020
Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding.
Proceedings of the 31st British Machine Vision Conference 2020, 2020
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
Medical Image Anal., 2019
Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces.
CoRR, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Single View 3D Point Cloud Reconstruction using Novel View Synthesis and Self-Supervised Depth Estimation.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019
Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation.
CoRR, 2018
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks.
CoRR, 2018
CoRR, 2018
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
2017
Fully Automated Segmentation Using Distance Regularised Level Set and Deep-Structured Learning and Inference.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Automatic Quantification of Tumour Hypoxia From Multi-Modal Microscopy Images Using Weakly-Supervised Learning Methods.
IEEE Trans. Medical Imaging, 2017
IEEE Trans. Medical Imaging, 2017
IEEE J. Biomed. Health Informatics, 2017
IEEE Trans. Image Process., 2017
Pattern Recognit., 2017
A deep convolutional neural network module that promotes competition of multiple-size filters.
Pattern Recognit., 2017
Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance.
Medical Image Anal., 2017
A deep learning approach for the analysis of masses in mammograms with minimal user intervention.
Medical Image Anal., 2017
Detecting hip fractures with radiologist-level performance using deep neural networks.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017
Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions1.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
2016
Automated Detection of Individual Micro-calcifications from Mammograms using a Multi-stage Cascade Approach.
CoRR, 2016
On the importance of normalisation layers in deep learning with piecewise linear activation units.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016
The Automated Learning of Deep Features for Breast Mass Classification from Mammograms.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees.
Proceedings of the Intelligent Tutoring Systems - 13th International Conference, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells.
IEEE Trans. Image Process., 2015
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions.
CoRR, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammograms.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Lung segmentation in chest radiographs using distance regularized level set and deep-structured learning and inference.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Towards reduction of the training and search running time complexities for non-rigid object segmentation.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
The use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
3-D Modeling from Concept Sketches of Human Characters with Minimal User Interaction.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
2014
IEEE Commun. Mag., 2014
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014
Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-Structured Inference.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
IEEE Trans. Image Process., 2013
Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks.
Proceedings of the IEEE International Conference on Image Processing, 2013
Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imagery.
Proceedings of the IEEE International Conference on Image Processing, 2013
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013
Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
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., 2012
An ns-3 architecture for simulating joint radio resource management strategies in interconnected WLAN and UMTS networks.
Trans. Emerg. Telecommun. Technol., 2012
Comput. Networks, 2012
On-line re-training and segmentation with reduction of the training set: Application to the left ventricle detection in ultrasound imaging.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
Simul. Model. Pract. Theory, 2011
Proceedings of the 1st International Conference on Multimedia Retrieval, 2011
Semi-supervised self-trainingmodel for the segmentationof the left ventricle of the heart from ultrasound data.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Reducing the training set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Incremental on-line semi-supervised learning for segmenting the left ventricle of the heart from ultrasound data.
Proceedings of the IEEE International Conference on Computer Vision, 2011
Explaining scene composition using kinematic chains of humans: application to Portuguese tiles history.
Proceedings of the Computer Vision and Image Analysis of Art II, San Francisco Airport, 2011
Proceedings of the Computer Vision and Image Analysis of Art II, San Francisco Airport, 2011
The automatic annotation and retrieval of digital images of prints and tile panels using network link analysis algorithms.
Proceedings of the Computer Vision and Image Analysis of Art II, San Francisco Airport, 2011
2010
Robust left ventricle segmentation from ultrasound data using deep neural networks and efficient search methods.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
A Comparative Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Efficient search methods and deep belief networks with particle filtering for non-rigid tracking: Application to lip tracking.
Proceedings of the International Conference on Image Processing, 2010
Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
The automatic design of feature spaces for local image descriptors using an ensemble of non-linear feature extractors.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
Proceedings of the Sixth Advanced International Conference on Telecommunications, 2010
2009
The quantitative characterization of the distinctiveness and robustness of local image descriptors.
Image Vis. Comput., 2009
Proceedings of the 4th International Conference on Performance Evaluation Methodologies and Tools, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
2008
Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree.
IEEE Trans. Medical Imaging, 2008
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
IEEE Trans. Pattern Anal. Mach. Intell., 2007
IEEE Trans. Pattern Anal. Mach. Intell., 2007
Proceedings of the Q2SWinet'07, 2007
Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
2006
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006
2005
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005
Proceedings of the IEEE 16th International Symposium on Personal, 2005
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction.
Proceedings of the Second Canadian Conference on Computer and Robot Vision (CRV 2005), 2005
2004
Image pattern recognition using phase-based local features and their flexible spatial configuration.
PhD thesis, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004
2003
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003
2002
Proceedings of the 13th IEEE International Symposium on Personal, 2002
Proceedings of the Computer Vision, 2002
1999
Proceedings of the Mobile Robots XIV, Boston, 1999
CONTROLAB MUFA: A Multi-Level Fusion Architecture for Intelligent Navigation of a Telerobot.
Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999