Gustavo Carneiro

发表

Weakly Supervised Top-down Image Segmentation

Gustavo Carneiro, Nuno Vasconcelos, Manuela Vasconcelos, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imagery

Gustavo Carneiro, Jacinto C. Nascimento, G. Carneiro, 2013, 2013 IEEE International Conference on Image Processing.

Deep structured learning for mass segmentation from mammograms

Gustavo Carneiro, Andrew P. Bradley, Neeraj Dhungel, 2014, 2015 IEEE International Conference on Image Processing (ICIP).

Training Medical Image Analysis Systems like Radiologists pdf

Gustavo Carneiro, Ian D. Reid, Andrew P. Bradley, 2018, MICCAI.

CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees

Gustavo Carneiro, Luke Oakden-Rayner, Hope Lee, 2016, ITS.

Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms

Gustavo Carneiro, Andrew P. Bradley, Neeraj Dhungel, 2015, MICCAI.

Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks

Gustavo Carneiro, Tuan Anh Ngo, G. Carneiro, 2013, 2013 IEEE International Conference on Image Processing.

Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds

Gustavo Carneiro, Jacinto C. Nascimento, G. Carneiro, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Multi-modal Ensemble Classification for Generalized Zero Shot Learning pdf

Gustavo Carneiro, Ian D. Reid, Rafael Felix, 2019, ArXiv.

Phase-Based Local Features

Gustavo Carneiro, Allan D. Jepson, A. Jepson, 2002, ECCV.

Improving the performance of pedestrian detectors using convolutional learning

Gustavo Carneiro, Alexandre Bernardino, David Ribeiro, 2017, Pattern Recognit..

Hidden stratification causes clinically meaningful failures in machine learning for medical imaging

Gustavo Carneiro, Christopher Ré, Jared Dunnmon, 2019, CHIL.

Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation pdf

Peter I. Corke, Gustavo Carneiro, Niko Sünderhauf, 2018, ArXiv.

Multi-scale phase-based local features

Gustavo Carneiro, Allan D. Jepson, A. Jepson, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Formulating semantic image annotation as a supervised learning problem

Gustavo Carneiro, Nuno Vasconcelos, N. Vasconcelos, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-Structured Inference

Gustavo Carneiro, Tuan Anh Ngo, G. Carneiro, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Region of Interest Autoencoders with an Application to Pedestrian Detection

Gustavo Carneiro, David Suter, Jerome Williams, 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Transparent and scalable terminal mobility for vehicular networks

Gustavo Carneiro, Manuel Ricardo, Pedro Fortuna, 2012, Comput. Networks.

Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree

Gustavo Carneiro, Dorin Comaniciu, Bogdan Georgescu, 2007, MICCAI.

The Automated Learning of Deep Features for Breast Mass Classification from Mammograms

Gustavo Carneiro, Andrew P. Bradley, Neeraj Dhungel, 2016, MICCAI.

The use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification

Gustavo Carneiro, Zhibin Liao, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Smart Mining for Deep Metric Learning

Gustavo Carneiro, Tom Drummond, Ben Harwood, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Bayesian Semantic Instance Segmentation in Open Set World

Gustavo Carneiro, Thanh-Toan Do, Trung Pham, 2018, ECCV.

What Is the Role of Independence for Visual Recognition?

Gustavo Carneiro, Nuno Vasconcelos, N. Vasconcelos, 2002, ECCV.

One-Stage Five-Class Polyp Detection and Classification

Gustavo Carneiro, Leonardo Z.C.T. Pu, Yu Tian, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Reducing the training set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images

Gustavo Carneiro, Jacinto C. Nascimento, G. Carneiro, 2011, 2011 18th IEEE International Conference on Image Processing.

Automated Nucleus and Cytoplasm Segmentation of Overlapping Cervical Cells

Gustavo Carneiro, Zhi Lu, Andrew P. Bradley, 2013, MICCAI.

Producing Radiologist-Quality Reports for Interpretable Deep Learning.

Gustavo Carneiro, Lyle J. Palmer, Andrew P. Bradley, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Single View 3D Point Cloud Reconstruction using Novel View Synthesis and Self-Supervised Depth Estimation

Gustavo Carneiro, Adrian Johnston, G. Carneiro, 2019, 2019 Digital Image Computing: Techniques and Applications (DICTA).

A database centric view of semantic image annotation and retrieval

Gustavo Carneiro, Nuno Vasconcelos, N. Vasconcelos, 2005, SIGIR '05.

PAC-Bayesian Meta-learning with Implicit Prior and Posterior

Gustavo Carneiro, Cuong Nguyen, Thanh-Toan Do, 2020 .

PAC-Bayesian Meta-learning with Implicit Prior pdf

Gustavo Carneiro, Cuong Nguyen, Thanh-Toan Do, 2020, ArXiv.

Lung segmentation in chest radiographs using distance regularized level set and deep-structured learning and inference

Gustavo Carneiro, Tuan Anh Ngo, G. Carneiro, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Towards reduction of the training and search running time complexities for non-rigid object segmentation

Gustavo Carneiro, Jacinto C. Nascimento, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection

Gustavo Carneiro, Alexandre Bernardino, David Ribeiro, 2017, IbPRIA.

Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling

Gustavo Carneiro, Dorin Comaniciu, Bogdan Georgescu, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree

Gustavo Carneiro, Dorin Comaniciu, Bogdan Georgescu, 2008, IEEE Transactions on Medical Imaging.

UMTS Terminal Equipment For All-IP Based Communications

Gustavo Carneiro, Manuel Ricardo, Jose Ruela, 2002 .

Unsupervised Task Design to Meta-Train Medical Image Classifiers

Gustavo Carneiro, Gabriel Maicas, Jacinto C. Nascimento, 2019, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI

Gustavo Carneiro, Ian D. Reid, Andrew P. Bradley, 2018, Medical Image Anal..

LOW: Training deep neural networks by learning optimal sample weights

Gustavo Carneiro, Jacinto C. Nascimento, Michele Sasdelli, 2021, Pattern Recognit..

A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?

Gustavo Carneiro, Filipe R. Cordeiro, G. Carneiro, 2020, 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Deep Learning on Sparse Manifolds for Faster Object Segmentation

Gustavo Carneiro, Jacinto C. Nascimento, G. Carneiro, 2017, IEEE Transactions on Image Processing.

Producing radiologist-quality reports for interpretable artificial intelligence pdf

Gustavo Carneiro, Lyle J. Palmer, Andrew P. Bradley, 2018, ArXiv.

Closed-Loop Deep Vision

Gustavo Carneiro, Tat-Jun Chin, Zhibin Liao, 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI

Gustavo Carneiro, Dorin Comaniciu, Joachim Hornegger, 2008, MICCAI.

Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models

Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, 2015, MICCAI.

Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors

Gustavo Carneiro, Guansong Pang, Yuanhong Chen, 2021, ArXiv.

Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume

Gustavo Carneiro, Adrian Johnston, G. Carneiro, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Fully automated classification of mammograms using deep residual neural networks

Gustavo Carneiro, Andrew P. Bradley, Neeraj Dhungel, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Incremental on-line semi-supervised learning for segmenting the left ventricle of the heart from ultrasound data

Gustavo Carneiro, Jacinto C. Nascimento, G. Carneiro, 2011, 2011 International Conference on Computer Vision.

Competitive Multi-scale Convolution pdf

Gustavo Carneiro, Zhibin Liao, G. Carneiro, 2015, ArXiv.

Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images

Gustavo Carneiro, Davide Fontanarosa, Niki Martinel, 2019, Medical Image Anal..

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Gustavo Carneiro, Ian D. Reid, Ravi Garg, 2016, ECCV.

The quantitative characterization of the distinctiveness and robustness of local image descriptors

Gustavo Carneiro, Allan D. Jepson, 2009, Image Vis. Comput..

Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance

Gustavo Carneiro, Zhi Lu, Tuan Anh Ngo, 2017, Medical Image Anal..

Automated Detection of Individual Micro-calcifications from Mammograms using a Multi-stage Cascade Approach pdf

Gustavo Carneiro, Zhi Lu, Andrew P. Bradley, 2016, ArXiv.

An implementation of IP over UMTS with QoS

Gustavo Carneiro, Manuel Ricardo, Jaime Dias, 2003 .

A deep convolutional neural network module that promotes competition of multiple-size filters

Gustavo Carneiro, Zhibin Liao, G. Carneiro, 2017, Pattern Recognit..

Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography

Gustavo Carneiro, Lyle J. Palmer, Andrew P. Bradley, 2016, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Flexible and Latent Structured Output Learning - Application to Histology

Nassir Navab, Gustavo Carneiro, Tingying Peng, 2015, MLMI.

Few-Shot Meta-Denoising pdf

Nassir Navab, Gustavo Carneiro, Vasileios Belagiannis, 2019, ArXiv.

Support of IP QoS over UMTS networks

Gustavo Carneiro, Manuel Ricardo, José Ruela, 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures

Gustavo Carneiro, Jacinto C. Nascimento, G. Carneiro, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Graph-based methods for the automatic annotation and retrieval of art prints

Gustavo Carneiro, G. Carneiro, 2011, ICMR.

Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions1

Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, 2017, Deep Learning for Medical Image Analysis.

Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks

Gustavo Carneiro, Ian D. Reid, Zhibin Liao, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis

Gustavo Carneiro, Lin Yang, Fuyong Xing, 2017 .

Supervised Learning of Semantic Classes for Image Annotation and Retrieval

Gustavo Carneiro, Nuno Vasconcelos, Antoni B. Chan, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Few-Shot Microscopy Image Cell Segmentation pdf

Gustavo Carneiro, Julia Hornauer, Vasileios Belagiannis, 2020, ECML/PKDD.

Uncertainty in Model-Agnostic Meta-Learning using Variational Inference

Gustavo Carneiro, Cuong Nguyen, Thanh-Toan Do, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Gustavo Carneiro, Jaime S. Cardoso, M. Jorge Cardoso, 2017, Lecture Notes in Computer Science.

On-line re-training and segmentation with reduction of the training set: Application to the left ventricle detection in ultrasound imaging

Gustavo Carneiro, Jacinto C. Nascimento, G. Carneiro, 2012, 2012 19th IEEE International Conference on Image Processing.

Canadian Robotic Vision Special Issue Minimum Bayes Error Features for Visual Recognition

Gustavo Carneiro, Nuno Vasconcelos, 2005 .

3-D Modeling from Concept Sketches of Human Characters with Minimal User Interaction

Gustavo Carneiro, Luiz Velho, Ren Ding, 2015, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data

Gustavo Carneiro, Jacinto C. Nascimento, G. Carneiro, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions

Nassir Navab, Gustavo Carneiro, Tingying Peng, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Cross-layer design in 4G wireless terminals

Gustavo Carneiro, Manuel Ricardo, José Ruela, 2004, IEEE Wireless Communications.

Semi-supervised self-trainingmodel for the segmentationof the left ventricle of the heart from ultrasound data

Gustavo Carneiro, Jacinto C. Nascimento, António Freitas, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

1st MICCAI workshop on deep learning in medical image analysis

Gustavo Carneiro, Jaime S. Cardoso, Zhi Lu, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

Su-Lin Lee, Gustavo Carneiro, M. Jorge Cardoso, 2017, Lecture Notes in Computer Science.

The Detection and Segmentation of the Left Ventricle of the Heart from Ultrasound Data using Deep Learning Architectures and Efficient Search Methods

Gustavo Carneiro, Jacinto C. Nascimento, Antonio Freitas, 2011 .

Deep Learning for US Image Quality Assessment Based on Femoral Cartilage Boundary Detection in Autonomous Knee Arthroscopy

Gustavo Carneiro, Davide Fontanarosa, Yu Takeda, 2020, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Why are Generative Adversarial Networks so Fascinating and Annoying?

Gustavo Carneiro, Fabio Augusto faria, G. Carneiro, 2020, 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

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, Jacinto C. Nascimento, G. Carneiro, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

The distinctiveness, detectability, and robustness of local image features

Gustavo Carneiro, Allan D. Jepson, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Augmentation Network for Generalised Zero-Shot Learning

Gustavo Carneiro, Ian Reid, Rafael Felix, 2020, Asian Conference on Computer Vision.

Probabilistic Object Detection: Definition and Evaluation

Gustavo Carneiro, Niko Sünderhauf, Peter Corke, 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior

Gustavo Carneiro, Andrew P. Bradley, Gabriel Maicas, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization

Gustavo Carneiro, Jacinto C Nascimento, G. Carneiro, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammograms

Gustavo Carneiro, Andrew P. Bradley, Neeraj Dhungel, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features

Gustavo Carneiro, Rajvinder Singh, Johan W. Verjans, 2021, ArXiv.

Detection of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree

Gustavo Carneiro, Dorin Comaniciu, Bogdan Georgescu, 2007 .

Artistic Image Classification: An Analysis on the PRINTART Database

Alessio Del Bue, Gustavo Carneiro, João Paulo Costeira, 2012, ECCV.

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

Gustavo Carneiro, João Paulo Papa, Lena Maier-Hein, 2018, DLMIA/ML-CDS@MICCAI.

In Defence of RANSAC for Outlier Rejection in Deformable Registration

Michael S. Brown, Gustavo Carneiro, Tat-Jun Chin, 2012, ECCV.

Saliency Improvement in Feature-Poor Surgical Environments Using Local Laplacian of Specified Histograms

Gustavo Carneiro, Aaron Mcfadyen, Artur Banach, 2020, IEEE Access.

Bayesian Generative Active Deep Learning

Gustavo Carneiro, Ian D. Reid, Thanh-Toan Do, 2019, ICML.

Semantics for Robotic Mapping, Perception and Interaction: A Survey

Michael Milford, Gustavo Carneiro, Tat-Jun Chin, 2021, Found. Trends Robotics.

Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding pdf

Gustavo Carneiro, Thanh-Toan Do, Quang D. Tran, 2020, BMVC.

Automatic Segmentation of Multiple Structures in Knee Arthroscopy Using Deep Learning

Gustavo Carneiro, Gabriel Maicas, Jonathan Roberts, 2020, IEEE Access.

A Bayesian Data Augmentation Approach for Learning Deep Models

Gustavo Carneiro, Ian D. Reid, Lyle J. Palmer, 2017, NIPS.

Identifying protein subcellular localisation in scientific literature using bidirectional deep recurrent neural network

Gustavo Carneiro, Ian R. Castleden, Matthew Gilliham, 2020, Scientific Reports.

Robust Optimization for Deep Regression

Nassir Navab, Gustavo Carneiro, Christian Rupprecht, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Model Agnostic Saliency For Weakly Supervised Lesion Detection From Breast DCE-MRI

Gustavo Carneiro, Ian D. Reid, Andrew P. Bradley, 2018, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Robust header compression in 4G networks with QoS support

Gustavo Carneiro, Manuel Ricardo, Pedro Fortuna, 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks

Gustavo Carneiro, Jacinto C. Nascimento, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Artistic Image Analysis Using Graph-Based Learning Approaches

Gustavo Carneiro, G. Carneiro, 2013, IEEE Transactions on Image Processing.

QoS abstraction layer in 4G access networks

Gustavo Carneiro, Manuel Ricardo, M. Ricardo, 2007, Telecommun. Syst..

A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning

Gustavo Carneiro, Ian D. Reid, Tuan Hoang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Artistic Image Analysis Using the Composition of Human Figures

Gustavo Carneiro, Qian Chen, 2014, ECCV Workshops.

Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions

Gustavo Carneiro, Ian D. Reid, G VijayKumarB., 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning pdf

Gustavo Carneiro, Yuyuan Liu, Gabriel Maicas, 2021, ArXiv.

Sparse Flexible Models of Local Features

Gustavo Carneiro, David Lowe, D. Lowe, 2006, ECCV.

Minimum Bayes error features for visual recognition by sequential feature selection and extraction

Gustavo Carneiro, Nuno Vasconcelos, 2005, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05).

Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image

Gustavo Carneiro, Ian D. Reid, Ravi Garg, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Multi-modal Cycle-consistent Generalized Zero-Shot Learning

Gustavo Carneiro, Ian D. Reid, Rafael Felix, 2018, ECCV.

Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI

Gustavo Carneiro, Ian D. Reid, Andrew P. Bradley, 2017, MICCAI.

Bayesian CNN for Segmentation Uncertainty Inference on 4D Ultrasound Images of the Femoral Cartilage for Guidance in Robotic Knee Arthroscopy

Gustavo Carneiro, Davide Fontanarosa, Ajay K. Pandey, 2020, IEEE Access.

Fully Automated Segmentation Using Distance Regularised Level Set and Deep-Structured Learning and Inference

Gustavo Carneiro, Tuan Anh Ngo, G. Carneiro, 2017, Deep Learning and Convolutional Neural Networks for Medical Image Computing.

Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms

Gustavo Carneiro, Andrew P. Bradley, Neeraj Dhungel, 2017, Deep Learning and Convolutional Neural Networks for Medical Image Computing.

Pruning local feature correspondences using shape context

Gustavo Carneiro, Allan D. Jepson, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy

Gustavo Carneiro, Gabriel Maicas, Johan W. Verjans, 2020, MICCAI.

The automatic design of feature spaces for local image descriptors using an ensemble of non-linear feature extractors

Gustavo Carneiro, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Multi-atlas segmentation using manifold learning with deep belief networks

Gustavo Carneiro, Jacinto C. Nascimento, G. Carneiro, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features

Gustavo Carneiro, Jaime S. Cardoso, Andrew P. Bradley, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces pdf

Gustavo Carneiro, Rafael Felix, Michele Sasdelli, 2019, ArXiv.

End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging

Gustavo Carneiro, Wiro J. Niessen, Anton van den Hengel, 2018, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Integration of mobility and qos in 4g scenarios

Susana Sargento, Gustavo Carneiro, Rui L. Aguiar, 2007, Q2SWinet '07.

I_ CROSS-LAYER DESIGN IN 46 W IRELESS~TERMI NA is

Gustavo Carneiro, Manuel Ricardo, Inesc Porto, 2004 .

Minimum Bayes error features for visual recognition

Gustavo Carneiro, Nuno Vasconcelos, 2009, Image Vis. Comput..

The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods

Gustavo Carneiro, Jacinto C. Nascimento, António Freitas, 2012, IEEE Transactions on Image Processing.

Robust left ventricle segmentation from ultrasound data using deep neural networks and efficient search methods

Gustavo Carneiro, Jacinto C. Nascimento, António Freitas, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Fast and Robust 3-D MRI Brain Structure Segmentation

Gustavo Carneiro, Dorin Comaniciu, Joachim Hornegger, 2009, MICCAI.

Editorial

Gustavo Carneiro, Jaime S. Cardoso, Zhi Lu, 1875, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy pdf

Gustavo Carneiro, Gabriel Maicas, Ajay K. Pandey, 2020, MICCAI.

Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy

Gustavo Carneiro, Alastair D. Burt, Leonardo Zorron Cheng Tao Pu, 2020, Medical Image Anal..

WiMetroNet A Scalable Wireless Network for Metropolitan Transports

Gustavo Carneiro, Manuel Ricardo, Filipe Abrantes, 2010, 2010 Sixth Advanced International Conference on Telecommunications.

Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification

Gustavo Carneiro, Gabriel Maicas, Jacinto C. Nascimento, 2020, MICCAI.

EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels pdf

Gustavo Carneiro, Filipe R. Cordeiro, Ian Reid, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

A Comparative Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors

Gustavo Carneiro, 2010, 2010 20th International Conference on Pattern Recognition.

Special issue: 4th MICCAI workshop on deep learning in medical image analysis

Gustavo Carneiro, Zhi Lu, João Paulo Papa, 2020, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

On the importance of normalisation layers in deep learning with piecewise linear activation units

Gustavo Carneiro, Zhibin Liao, G. Carneiro, 2015, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

Detecting hip fractures with radiologist-level performance using deep neural networks pdf

Gustavo Carneiro, Lyle J. Palmer, Andrew P. Bradley, 2017, ArXiv.

Management driven hybrid multicast framework for content aware networks

Gustavo Carneiro, António Pinto, Eugen Borcoci, 2014, IEEE Communications Magazine.

Flexible spatial models for grouping local image features

Gustavo Carneiro, Allan D. Jepson, A. Jepson, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Efficient search methods and deep belief networks with particle filtering for non-rigid tracking: Application to lip tracking

Gustavo Carneiro, Jacinto C. Nascimento, 2010, 2010 IEEE International Conference on Image Processing.

Point Correspondence Validation under Unknown Radial Distortion

Gustavo Carneiro, Tat-Jun Chin, David Suter, 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Fast prototyping of network protocols through ns-3 simulation model reuse

Gustavo Carneiro, Manuel Ricardo, Helder Fontes, 2011, Simul. Model. Pract. Theory.

Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images

Nassir Navab, Gustavo Carneiro, Tingying Peng, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

FlowMonitor: a network monitoring framework for the network simulator 3 (NS-3)

Gustavo Carneiro, Manuel Ricardo, Pedro Fortuna, 2009, VALUETOOLS.

Fuzzy clustering based encoding for Visual Object Classification

Gustavo Carneiro, Tat-Jun Chin, Giovanna Castellano, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

Computer Vision – ACCV 2018 Workshops

Gustavo Carneiro, Shaodi You, G. Carneiro, 2018, Lecture Notes in Computer Science.

A deep learning approach for the analysis of masses in mammograms with minimal user intervention

Gustavo Carneiro, Andrew P. Bradley, Neeraj Dhungel, 2017, Medical Image Anal..

Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests

Gustavo Carneiro, Andrew P. Bradley, Neeraj Dhungel, 2015, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Flexible Spatial Configuration of Local Image Features

Gustavo Carneiro, Allan D. Jepson, A. Jepson, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure

Gustavo Carneiro, Dorin Comaniciu, Shaohua Kevin Zhou, 2007, 2007 IEEE 11th International Conference on Computer Vision.

An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells

Gustavo Carneiro, Zhi Lu, Andrew P. Bradley, 2015, IEEE Transactions on Image Processing.

3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training pdf

Gustavo Carneiro, Jonathan Roberts, Shahnewaz Ali, 2021, MICCAI.

In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos

Gustavo Carneiro, Yuan Zhang, Yuan Zhang, 2022, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment pdf

Gustavo Carneiro, Filipe R. Cordeiro, Ian Reid, 2021, ArXiv.

Probabilistic task modelling for meta-learning

Gustavo Carneiro, Thanh-Toan Do, Cuong C. Nguyen, 2021, UAI.

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images

Gustavo Carneiro, Johan W. Verjans, Guansong Pang, 2021, MICCAI.

Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images.

Gustavo Carneiro, Johan W. Verjans, Guansong Pang, 2021, Medical image analysis.

Post-Hoc Overall Survival Time Prediction From Brain MRI

Gustavo Carneiro, Gabriel Maicas, Jacinto C. Nascimento, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification pdf

Gustavo Carneiro, Filipe R. Cordeiro, Ian Reid, 2021, MLMI@MICCAI.

Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels

Gustavo Carneiro, Hung Bui, Toan Tran, 2021 .

Combining Data Augmentation and Domain Distance Minimisation to Reduce Domain Generalisation Error

Rini Akmeliawati, Gustavo Carneiro, Hoang Son Le, 2021, 2021 Digital Image Computing: Techniques and Applications (DICTA).

Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification

Gustavo Carneiro, João P. Papa, Fabio A. Faria, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: A systematic review and meta-analysis

Gustavo Carneiro, Gabriel Maicas, Tarik Sammour, 2021, Artif. Intell. Medicine.

Deep One-Class Classification via Interpolated Gaussian Descriptor

Gustavo Carneiro, Guansong Pang, Yu Tian, 2021 .

Visual Localisation for Knee Arthroscopy

Gustavo Carneiro, Aaron McFadyen, Ross Crawford, 2021, International Journal of Computer Assisted Radiology and Surgery.

Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification

Gustavo Carneiro, Adrian Galdran, Miguel A. Gonz'alez Ballester, 2021, DFUC@MICCAI.

ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification

Gustavo Carneiro, Yu Tian, Vasileios Belagiannis, 2021 .

Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging

Gustavo Carneiro, Mark Jenkinson, Minh-Son To, 2021, MICCAI.

Balanced-MixUp for Highly Imbalanced Medical Image Classification pdf

Gustavo Carneiro, Adrian Galdran, Miguel A. Gonz'alez Ballester, 2021, MICCAI.

PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels pdf

Gustavo Carneiro, Filipe R. Cordeiro, Ian Reid, 2021, BMVC.

Sensing in the presence of strong noise by deep learning of dynamic multimode fiber interference

Gustavo Carneiro, Heike Ebendorff-Heidepriem, Stephen C. Warren-Smith, 2021, Photonics Research.

Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation

Gustavo Carneiro, Yu Tian, Vasileios Belagiannis, 2021 .

Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning

Gustavo Carneiro, Johan W. Verjans, Guansong Pang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Arthroscope Localization in 3D Ultrasound Volumes Using Weakly Supervised Deep Learning

Gustavo Carneiro, Davide Fontanarosa, Saskia M. Camps, 2021, Applied Sciences.

A Chaos Theory Approach to Understand Neural Network Optimization

Gustavo Carneiro, Tat-Jun Chin, Michele Sasdelli, 2021, 2021 Digital Image Computing: Techniques and Applications (DICTA).

Multi-Center Polyp Segmentation withDouble Encoder-Decoder Networks

Gustavo Carneiro, Miguel Ángel González Ballester, Adrian Galdran, 2021, EndoCV@ISBI.

Noisy Label Learning for Large-scale Medical Image Classification pdf

Gustavo Carneiro, Filipe R. Cordeiro, Ian Reid, 2021, ArXiv.

ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning pdf

Gustavo Carneiro, Ian Reid, Ragav Sachdeva, 2021, ArXiv.

Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation pdf

Gustavo Carneiro, Johan W. Verjans, Guansong Pang, 2021, ArXiv.

Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes pdf

Gustavo Carneiro, Guansong Pang, Yu Tian, 2021, ArXiv.

Pruning local feature correspondences using shape context

Gustavo Carneiro, Allan D. Jepson, 2004, ICPR 2004.

Lesion Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI

Gustavo Carneiro, Ian Reid, Andrew P. Bradley, 2018 .

Computer-aided diagnosis for characterisation of colorectal lesions: a comprehensive software including serrated lesions.

Gustavo Carneiro, Yu Tian, Gabriel Maicas, 2020, Gastrointestinal endoscopy.

Sa1908 COMPUTER-AIDED DIAGNOSIS FOR CHARACTERISING COLORECTAL LESIONS: INTERIM RESULTS OF A NEWLY DEVELOPED SOFTWARE

Gustavo Carneiro, Alastair D. Burt, Leonardo Zorron Cheng Tao Pu, 2018, Gastrointestinal Endoscopy.

Fetal biometry: a comparison between experienced sonographers and automated measurements

Gustavo Carneiro, Bogdan Georgescu, Sara Good, 2009, The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians.

The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking

Gustavo Carneiro, Jacinto C. Nascimento, 2010, 2010 20th International Conference on Pattern Recognition.

Automated Mass Detection from Mammograms using Deep Learning and Random Forest

Gustavo Carneiro, Andrew P. Bradley, Neeraj Dhungel, 2015 .

Object Recognition Using Flexible Groups of Local Features

Gustavo Carneiro, Allan D. Jepson, A. Jepson, 2004 .