CONTROLAB MUFA: A Multi-Level Fusion Architecture for Intelligent Navigation of a Telerobot. - Eliana P. L. Aude; Gustavo H. M. B. Carneiro; Henrique Serdeira; Julio T. C. Silveira; Mario F. Martins; Ernesto P. Lopes (ICRA, 1999)

Integration of intelligent systems and sensor fusion within the CONTROLAB AGV. - Eliana P. L. Aude; Julio T. C. Silveira; Ernesto P. Lopes; Gustavo H. M. B. Carneiro; Henrique Serdeira; Mario F. Martins (Mobile Robots, 1999)

Phase-Based Local Features. - Gustavo Carneiro 001; Allan D. Jepson (ECCV (1), 2002)

What Is the Role of Independence for Visual Recognition? - Nuno Vasconcelos; Gustavo Carneiro 001 (ECCV (1), 2002)

Support of IP QoS over UMTS networks. - Manuel Ricardo 001; Jaime Dias; Gustavo Carneiro 001; José Ruela (PIMRC, 2002)

Multi-scale Phase-based Local Features. - Gustavo Carneiro 001; Allan D. Jepson (CVPR (1), 2003)

Flexible Spatial Models for Grouping Local Image Features. - Gustavo Carneiro 001; Allan D. Jepson (CVPR (2), 2004)

Pruning Local Feature Correspondences Using Shape Context. - Gustavo Carneiro 001; Allan D. Jepson (ICPR (3), 2004)

Cross-layer design in 4G wireless terminals. - Gustavo Carneiro 001; José Ruela; Manuel Ricardo 001 (IEEE Wirel. Commun., 2004)

Image pattern recognition using phase-based local features and their flexible spatial configuration. - Gustavo H. M. B. Carneiro (2004)

Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction. - Gustavo Carneiro 001; Nuno Vasconcelos (CRV, 2005)

The Distinctiveness, Detectability, and Robustness of Local Image Features. - Gustavo Carneiro 001; Allan D. Jepson (CVPR (2), 2005)

Formulating Semantic Image Annotation as a Supervised Learning Problem. - Gustavo Carneiro 001; Nuno Vasconcelos (CVPR (2), 2005)

Robust header compression in 4G networks with QoS support. - Pedro Fortuna; Gustavo Carneiro 001; Manuel Ricardo 001 (PIMRC, 2005)

A database centric view of semantic image annotation and retrieval. - Gustavo Carneiro 001; Nuno Vasconcelos (SIGIR, 2005)

Weakly Supervised Top-down Image Segmentation. - Manuela Vasconcelos; Nuno Vasconcelos; Gustavo Carneiro 001 (CVPR (1), 2006)

Sparse Flexible Models of Local Features. - Gustavo Carneiro 001; David Lowe (ECCV (3), 2006)

A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure. - Shaohua Kevin Zhou; Feng Guo; Gustavo Carneiro 001; John Jackson; M. Brendel; Costas Simopoulos; Joanne Otsuki; Dorin Comaniciu (ICCV, 2007)

Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree. - Gustavo Carneiro 001; Bogdan Georgescu; Sara Good; Dorin Comaniciu (MICCAI (2), 2007)

Integration of mobility and qos in 4g scenarios. - Vitor Jesus; Susana Sargento; Miguel Almeida; Daniel Corujo; Rui L. Aguiar; Janusz Gozdecki; Gustavo Carneiro 001; Albert Banchs; Pablo Yáñez-Mingot (Q2SWinet, 2007)

Supervised Learning of Semantic Classes for Image Annotation and Retrieval. - Gustavo Carneiro 001; Antoni B. Chan; Pedro J. Moreno 001; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Flexible Spatial Configuration of Local Image Features. - Gustavo Carneiro 001; Allan D. Jepson (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

QoS abstraction layer in 4G access networks. - Gustavo Carneiro 001; Manuel Ricardo 001 (Telecommun. Syst., 2007)

Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling. - Gustavo Carneiro 001; Fernando Amat; Bogdan Georgescu; Sara Good; Dorin Comaniciu (CVPR, 2008)

A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI. - Michael Wels; Gustavo Carneiro 001; Alexander Aplas; Martin Huber 001; Joachim Hornegger; Dorin Comaniciu (MICCAI (1), 2008)

Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree. - Gustavo Carneiro 001; Bogdan Georgescu; Sara Good; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2008)

Fast and Robust 3-D MRI Brain Structure Segmentation. - Michael Wels; Yefeng Zheng 001; Gustavo Carneiro 001; Martin Huber 001; Joachim Hornegger; Dorin Comaniciu (MICCAI (1), 2009)

FlowMonitor: a network monitoring framework for the network simulator 3 (NS-3). - Gustavo Carneiro 001; Pedro Fortuna; Manuel Ricardo 001 (VALUETOOLS, 2009)

The quantitative characterization of the distinctiveness and robustness of local image descriptors. - Gustavo Carneiro 001; Allan D. Jepson (Image Vis. Comput., 2009)

Minimum Bayes error features for visual recognition. - Gustavo Carneiro 001; Nuno Vasconcelos (Image Vis. Comput., 2009)

WiMetroNet A Scalable Wireless Network for Metropolitan Transports. - Manuel Ricardo 001; Gustavo Carneiro 001; Pedro Fortuna; Filipe Abrantes; Jaime Dias (AICT, 2010)

The automatic design of feature spaces for local image descriptors using an ensemble of non-linear feature extractors. - Gustavo Carneiro 001 (CVPR, 2010)

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

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

A Comparative Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors. - Gustavo Carneiro 001 (ICPR, 2010)

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

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

The automatic annotation and retrieval of digital images of prints and tile panels using network link analysis algorithms. - Gustavo Carneiro 001; João Paulo Costeira (Computer Vision and Image Analysis of Art, 2011)

Time and order estimation of paintings based on visual features and expert priors. - Ricardo Silveira Cabral; João Paulo Costeira; Fernando De la Torre; Alexandre Bernardino; Gustavo Carneiro 001 (Computer Vision and Image Analysis of Art, 2011)

Explaining scene composition using kinematic chains of humans: application to Portuguese tiles history. - Nuno Pinho da Silva; Manuel Marques; Gustavo Carneiro 001; João Paulo Costeira (Computer Vision and Image Analysis of Art, 2011)

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

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

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

Graph-based methods for the automatic annotation and retrieval of art prints. - Gustavo Carneiro 001 (ICMR, 2011)

Fast prototyping of network protocols through ns-3 simulation model reuse. - Gustavo Carneiro 001; Helder Fontes; Manuel Ricardo 001 (Simul. Model. Pract. Theory, 2011)

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

Artistic Image Classification: An Analysis on the PRINTART Database. - Gustavo Carneiro 001; Nuno Pinho da Silva; Alessio Del Bue; João Paulo Costeira (ECCV (4), 2012)

In Defence of RANSAC for Outlier Rejection in Deformable Registration. - Quoc-Huy Tran; Tat-Jun Chin; Gustavo Carneiro 001; Michael S. Brown; David Suter (ECCV (4), 2012)

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

Transparent and scalable terminal mobility for vehicular networks. - Gustavo Carneiro 001; Pedro Fortuna; Jaime Dias; Manuel Ricardo 001 (Comput. Networks, 2012)

An ns-3 architecture for simulating joint radio resource management strategies in interconnected WLAN and UMTS networks. - Hermes Irineu Del Monego; Gustavo Carneiro 001; José Manuel Oliveira; Manuel Ricardo 001 (Trans. Emerg. Telecommun. Technol., 2012)

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

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

Closed-Loop Deep Vision. - Gustavo Carneiro 001; Zhibin Liao; Tat-Jun Chin (DICTA, 2013)

Point Correspondence Validation under Unknown Radial Distortion. - William X. Liu; Tat-Jun Chin; Gustavo Carneiro 001; David Suter (DICTA, 2013)

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

Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks. - Tuan Anh Ngo; Gustavo Carneiro 001 (ICIP, 2013)

Fuzzy clustering based encoding for Visual Object Classification. - Danilo Dell'Agnello; Gustavo Carneiro 001; Tat-Jun Chin; Giovanna Castellano; Anna Maria Fanelli (IFSA/NAFIPS, 2013)

Automated Nucleus and Cytoplasm Segmentation of Overlapping Cervical Cells. - Zhi Lu; Gustavo Carneiro 001; Andrew P. Bradley (MICCAI (1), 2013)

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

Artistic Image Analysis Using Graph-Based Learning Approaches. - Gustavo Carneiro 001 (IEEE Trans. Image Process., 2013)

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

Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-Structured Inference. - Tuan Anh Ngo; Gustavo Carneiro 001 (CVPR, 2014)

Artistic Image Analysis Using the Composition of Human Figures. - Qian Chen; Gustavo Carneiro 001 (ECCV Workshops (1), 2014)

Management driven hybrid multicast framework for content aware networks. - Radu-Dinel Iorga; Eugen Borcoci; Radu Miruta; António Pinto; Gustavo Carneiro 001; Tânia Calçada (IEEE Commun. Mag., 2014)

Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (DICTA, 2015)

3-D Modeling from Concept Sketches of Human Characters with Minimal User Interaction. - Adrian Johnston; Gustavo Carneiro 001; Ren Ding; Luiz Velho 001 (DICTA, 2015)

Robust Optimization for Deep Regression. - Vasileios Belagiannis; Christian Rupprecht 001; Gustavo Carneiro 001; Nassir Navab (ICCV, 2015)

Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions. - Gustavo Carneiro 001; Tingying Peng; Christine Bayer; Nassir Navab (ICCV, 2015)

Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images. - Gustavo Carneiro 001; Tingying Peng; Christine Bayer; Nassir Navab (ICIP, 2015)

Deep structured learning for mass segmentation from mammograms. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (ICIP, 2015)

The use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification. - Zhibin Liao; Gustavo Carneiro 001 (ICIP, 2015)

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

Lung segmentation in chest radiographs using distance regularized level set and deep-structured learning and inference. - Tuan Anh Ngo; Gustavo Carneiro 001 (ICIP, 2015)

Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammograms. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (ISBI, 2015)

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

Flexible and Latent Structured Output Learning - Application to Histology. - Gustavo Carneiro 001; Tingying Peng; Christine Bayer; Nassir Navab (MLMI, 2015)

Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (MICCAI (1), 2015)

Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions. - B. G. Vijay Kumar; Gustavo Carneiro 001; Ian D. Reid 001 (CoRR, 2015)

Competitive Multi-scale Convolution. - Zhibin Liao; Gustavo Carneiro 001 (CoRR, 2015)

An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells. - Zhi Lu; Gustavo Carneiro 001; Andrew P. Bradley (IEEE Trans. Image Process., 2015)

Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions. - Vijay Kumar B. G; Gustavo Carneiro 001; Ian D. Reid 001 (CVPR, 2016)

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. - Ravi Garg; B. G. Vijay Kumar; Gustavo Carneiro 001; Ian D. Reid 001 (ECCV (8), 2016)

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

CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees. - Hope Lee; Amali Weerasinghe; Jayden Barnes; Luke Oakden-Rayner; William Gale; Gustavo Carneiro 001 (ITS, 2016)

The Automated Learning of Deep Features for Breast Mass Classification from Mammograms. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (MICCAI (2), 2016)

On the importance of normalisation layers in deep learning with piecewise linear activation units. - Zhibin Liao; Gustavo Carneiro 001 (WACV, 2016)

Automated Detection of Individual Micro-calcifications from Mammograms using a Multi-stage Cascade Approach. - Zhi Lu; Gustavo Carneiro 001; Neeraj Dhungel; Andrew P. Bradley (CoRR, 2016)

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

Region of Interest Autoencoders with an Application to Pedestrian Detection. - Jerome Williams; Gustavo Carneiro 001; David Suter (DICTA, 2017)

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

Smart Mining for Deep Metric Learning. - Ben Harwood; Vijay Kumar B. G; Gustavo Carneiro 001; Ian D. Reid 001; Tom Drummond (ICCV, 2017)

Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image. - Adrian Johnston; Ravi Garg; Gustavo Carneiro 001; Ian D. Reid 001 (ICCV Workshops, 2017)

Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features. - Jaime S. Cardoso 001; Nuno Marques; Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (ICIP, 2017)

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

Fully automated classification of mammograms using deep residual neural networks. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (ISBI, 2017)

Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior. - Gabriel Maicas; Gustavo Carneiro 001; Andrew P. Bradley (ISBI, 2017)

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

A Bayesian Data Augmentation Approach for Learning Deep Models. - Toan Tran 002; Trung Pham; Gustavo Carneiro 001; Lyle J. Palmer; Ian D. Reid 001 (NIPS, 2017)

Detecting hip fractures with radiologist-level performance using deep neural networks. - William Gale; Luke Oakden-Rayner; Gustavo Carneiro 001; Andrew P. Bradley; Lyle J. Palmer (CoRR, 2017)

A deep learning approach for the analysis of masses in mammograms with minimal user intervention. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (Medical Image Anal., 2017)

Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance. - Tuan Anh Ngo; Zhi Lu; Gustavo Carneiro 001 (Medical Image Anal., 2017)

A deep convolutional neural network module that promotes competition of multiple-size filters. - Zhibin Liao; Gustavo Carneiro 001 (Pattern Recognit., 2017)

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

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

Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells. - Zhi Lu; Gustavo Carneiro 001; Andrew P. Bradley; Daniela Ushizima; Masoud S. Nosrati; Andrea G. C. Bianchi; Cláudia M. Carneiro; Ghassan Hamarneh (IEEE J. Biomed. Health Informatics, 2017)

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

Automatic Quantification of Tumour Hypoxia From Multi-Modal Microscopy Images Using Weakly-Supervised Learning Methods. - Gustavo Carneiro 001; Tingying Peng; Christine Bayer; Nassir Navab (IEEE Trans. Medical Imaging, 2017)

Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis. - Gustavo Carneiro 001; Yefeng Zheng 001; Fuyong Xing; Lin Yang 002 (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Fully Automated Segmentation Using Distance Regularised Level Set and Deep-Structured Learning and Inference. - Tuan Anh Ngo; Gustavo Carneiro 001 (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Multi-modal Cycle-Consistent Generalized Zero-Shot Learning. - Rafael Felix; B. G. Vijay Kumar; Ian D. Reid 001; Gustavo Carneiro 001 (ECCV (6), 2018)

Bayesian Semantic Instance Segmentation in Open Set World. - Trung Pham; B. G. Vijay Kumar; Thanh-Toan Do; Gustavo Carneiro 001; Ian D. Reid 001 (ECCV (10), 2018)

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

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

Producing radiologist-quality reports for interpretable artificial intelligence. - William Gale; Luke Oakden-Rayner; Gustavo Carneiro 001; Andrew P. Bradley; Lyle J. Palmer (CoRR, 2018)

Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks. - Zhibin Liao; Tom Drummond; Ian Reid 001; Gustavo Carneiro 001 (CoRR, 2018)

Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation. - David Hall 003; Feras Dayoub; John Skinner; Peter Corke; Gustavo Carneiro 001; Niko Sünderhauf (CoRR, 2018)

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

A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. - Thanh-Toan Do; Toan Tran 002; Ian D. Reid 001; B. G. Vijay Kumar; Tuan Hoang; Gustavo Carneiro 001 (CVPR, 2019)

Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. - Rafael Felix; Ben Harwood; Michele Sasdelli; Gustavo Carneiro 001 (DICTA, 2019)

Single View 3D Point Cloud Reconstruction using Novel View Synthesis and Self-Supervised Depth Estimation. - Adrian Johnston; Gustavo Carneiro 001 (DICTA, 2019)

Bayesian Generative Active Deep Learning. - Toan Tran 002; Thanh-Toan Do; Ian D. Reid 001; Gustavo Carneiro 001 (ICML, 2019)

Producing Radiologist-Quality Reports for Interpretable Deep Learning. - William Gale; Luke Oakden-Rayner; Gustavo Carneiro 001; Lyle J. Palmer; Andrew P. Bradley (ISBI, 2019)

Model Agnostic Saliency For Weakly Supervised Lesion Detection From Breast DCE-MRI. - Gabriel Maicas; Gerard Snaauw; Andrew P. Bradley; Ian D. Reid 001; Gustavo Carneiro 001 (ISBI, 2019)

End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging. - Gerard Snaauw; Dong Gong; Gabriel Maicas; Anton van den Hengel; Wiro J. Niessen; Johan Verjans; Gustavo Carneiro 001 (ISBI, 2019)

One-Stage Five-Class Polyp Detection and Classification. - Yu Tian 001; Leonardo Z. C. T. Pu; Rajvinder Singh; Alastair D. Burt; Gustavo Carneiro 001 (ISBI, 2019)

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

Multi-modal Ensemble Classification for Generalized Zero Shot Learning. - Rafael Felix; Michele Sasdelli; Ian D. Reid 001; Gustavo Carneiro 001 (CoRR, 2019)

Few-Shot Meta-Denoising. - Leslie Casas; Gustavo Carneiro 001; Nassir Navab; Vasileios Belagiannis (CoRR, 2019)

Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces. - Rafael Felix; Ben Harwood; Michele Sasdelli; Gustavo Carneiro 001 (CoRR, 2019)

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

A probabilistic challenge for object detection. - Niko Sünderhauf; Feras Dayoub; David Hall 003; John Skinner; Haoyang Zhang; Gustavo Carneiro 001; Peter Corke (Nat. Mach. Intell., 2019)

Augmentation Network for Generalised Zero-Shot Learning. - Rafael Felix; Michele Sasdelli; Ian D. Reid 001; Gustavo Carneiro 001 (ACCV (4), 2020)

Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. - Binh X. Nguyen; Binh D. Nguyen; Gustavo Carneiro 001; Erman Tjiputra; Quang D. Tran; Thanh-Toan Do (BMVC, 2020)

Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. - Luke Oakden-Rayner; Jared Dunnmon; Gustavo Carneiro 001; Christopher Ré (CHIL, 2020)

Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume. - Adrian Johnston; Gustavo Carneiro 001 (CVPR, 2020)

Generalised Zero-shot Learning with Multi-modal Embedding Spaces. - Rafael Felix; Michele Sasdelli; Ben Harwood; Gustavo Carneiro 001 (DICTA, 2020)

Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. - Álvaro R. Ferreira; Gustavo Henrique de Rosa; João P. Papa; Gustavo Carneiro 001; Fábio Augusto Faria (ICPR, 2020)

Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. - Adrian Galdran; Gustavo Carneiro 001; Miguel Ángel González Ballester (ICPR Workshops (1), 2020)

A Hierarchical Multi-task Approach to Gastrointestinal Image Analysis. - Adrian Galdran; Gustavo Carneiro 001; Miguel Ángel González Ballester (ICPR Workshops (8), 2020)

Semi-Supervised Multi-Domain Multi-Task Training for Metastatic Colon Lymph Node Diagnosis from Abdominal CT. - Saskia Glaser; Gabriel Maicas; Sergei Bedrikovetski; Tarik Sammour; Gustavo Carneiro 001 (ISBI, 2020)

Photoshopping Colonoscopy Video Frames. - Yuyuan Liu; Yu Tian 001; Gabriel Maicas; Leonardo Zorron Cheng Tao Pu; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (ISBI, 2020)

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

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

Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy. - Fengbei Liu; Yaqub Jonmohamadi; Gabriel Maicas; Ajay K. Pandey; Gustavo Carneiro 001 (MICCAI (1), 2020)

Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. - Yu Tian 001; Gabriel Maicas; Leonardo Zorron Cheng Tao Pu; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (MICCAI (6), 2020)

Few-Shot Microscopy Image Cell Segmentation. - Youssef Dawoud; Julia Hornauer; Gustavo Carneiro 001; Vasileios Belagiannis (ECML/PKDD (5), 2020)

A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? - Filipe R. Cordeiro; Gustavo Carneiro 001 (SIBGRAPI, 2020)

Why are Generative Adversarial Networks so Fascinating and Annoying? - Fábio Augusto Faria; Gustavo Carneiro 001 (SIBGRAPI, 2020)

Probabilistic Object Detection: Definition and Evaluation. - David Hall 003; Feras Dayoub; John Skinner; Haoyang Zhang; Dimity Miller; Peter Corke; Gustavo Carneiro 001; Anelia Angelova; Niko Sünderhauf (WACV, 2020)

Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. - Cuong Nguyen 006; Thanh-Toan Do; Gustavo Carneiro 001 (WACV, 2020)

Bayesian CNN for Segmentation Uncertainty Inference on 4D Ultrasound Images of the Femoral Cartilage for Guidance in Robotic Knee Arthroscopy. - Maria Antico; Fumio Sasazawa; Yu Takeda; Anjali Tumkur Jaiprakash; Marie-Luise Wille; Ajay K. Pandey; Ross Crawford; Gustavo Carneiro 001; Davide Fontanarosa (IEEE Access, 2020)

Saliency Improvement in Feature-Poor Surgical Environments Using Local Laplacian of Specified Histograms. - Artur Banach; Mario Strydom; Anjali Tumkur Jaiprakash; Gustavo Carneiro 001; Cameron Brown; Ross Crawford; Aaron McFadyen (IEEE Access, 2020)

Automatic Segmentation of Multiple Structures in Knee Arthroscopy Using Deep Learning. - Yaqub Jonmohamadi; Yu Takeda; Fengbei Liu; Fumio Sasazawa; Gabriel Maicas; Ross Crawford; Jonathan Roberts 001; Ajay K. Pandey; Gustavo Carneiro 001 (IEEE Access, 2020)

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

PAC-Bayesian Meta-learning with Implicit Prior. - Cuong Nguyen 006; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2020)

Semantics for Robotic Mapping, Perception and Interaction: A Survey. - Sourav Garg; Niko Sünderhauf; Feras Dayoub; Douglas Morrison; Akansel Cosgun; Gustavo Carneiro 001; Qi Wu 001; Tat-Jun Chin; Ian D. Reid 001; Stephen Gould; Peter Corke; Michael Milford (Found. Trends Robotics, 2020)

Special Issue on Deep Learning for Robotic Vision. - Anelia Angelova; Gustavo Carneiro 001; Niko Sünderhauf; Jürgen Leitner (Int. J. Comput. Vis., 2020)

Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy. - Gustavo Carneiro 001; Leonardo Zorron Cheng Tao Pu; Rajvinder Singh; Alastair D. Burt (Medical Image Anal., 2020)

Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images. - Matteo Dunnhofer; Maria Antico; Fumio Sasazawa; Yu Takeda; Saskia Camps; Niki Martinel; Christian Micheloni; Gustavo Carneiro 001; Davide Fontanarosa (Medical Image Anal., 2020)

Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks. - Zhibin Liao; Tom Drummond; Ian Reid 001; Gustavo Carneiro 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

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

Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract). - Hoang-Son Le; Rini Akmeliawati; Gustavo Carneiro 001 (AAAI, 2021)

PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. - Filipe Rolim Cordeiro; Vasileios Belagiannis; Ian Reid 001; Gustavo Carneiro 001 (BMVC, 2021)

Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next. - Maria Gabrani; Ender Konukoglu; David Beymer; Gustavo Carneiro 001; Jannis Born; Michal Guindy; Michal Rosen-Zvi (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

Combining Data Augmentation and Domain Distance Minimisation to Reduce Domain Generalisation Error. - Hoang-Son Le; Rini Akmeliawati; Gustavo Carneiro 001 (DICTA, 2021)

A Chaos Theory Approach to Understand Neural Network Optimization. - Michele Sasdelli; Thalaiyasingam Ajanthan; Tat-Jun Chin; Gustavo Carneiro 001 (DICTA, 2021)

Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. - Yu Tian 001; Guansong Pang; Yuanhong Chen; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (ICCV, 2021)

Multi-Center Polyp Segmentation withDouble Encoder-Decoder Networks. - Adrian Galdran; Gustavo Carneiro 001; Miguel Ángel González Ballester (EndoCV@ISBI, 2021)

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

Balanced-MixUp for Highly Imbalanced Medical Image Classification. - Adrian Galdran; Gustavo Carneiro 001; Miguel Ángel González Ballester (MICCAI (5), 2021)

Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. - Adrian Galdran; Gustavo Carneiro 001; Miguel Ángel González Ballester (DFUC@MICCAI, 2021)

3D Semantic Mapping from Arthroscopy Using Out-of-Distribution Pose and Depth and In-Distribution Segmentation Training. - Yaqub Jonmohamadi; Shahnewaz Ali; Fengbei Liu; Jonathan Roberts 001; Ross Crawford; Gustavo Carneiro 001; Ajay K. Pandey (MICCAI (2), 2021)

Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. - Fengbei Liu; Yu Tian 001; Filipe R. Cordeiro; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (MLMI@MICCAI, 2021)

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. - Yu Tian 001; Guansong Pang; Fengbei Liu; Yuanhong Chen; Seon-Ho Shin; Johan W. Verjans; Rajvinder Singh; Gustavo Carneiro 001 (MICCAI (5), 2021)

Self-Supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging. - Minh-Son To; Ian G. Sarno; Chee Chong; Mark Jenkinson; Gustavo Carneiro 001 (MICCAI (7), 2021)

Probabilistic task modelling for meta-learning. - Cuong Cao Nguyen; Thanh-Toan Do; Gustavo Carneiro 001 (UAI, 2021)

EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. - Ragav Sachdeva; Filipe R. Cordeiro; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (WACV, 2021)

Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: A systematic review and meta-analysis. - Sergei Bedrikovetski; Nagendra N. Dudi-Venkata; Gabriel Maicas; Hidde M. Kroon; Warren Seow; Gustavo Carneiro 001; James W. Moore; Tarik Sammour (Artif. Intell. Medicine, 2021)

Visual Localisation for Knee Arthroscopy. - Artur Banach; Mario Strydom; Anjali Tumkur Jaiprakash; Gustavo Carneiro 001; Anders P. Eriksson; Ross Crawford; Aaron McFadyen (Int. J. Comput. Assist. Radiol. Surg., 2021)

Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning. - Yu Tian 001; Leonardo Zorron Cheng Tao Pu; Yuyuan Liu; Gabriel Maicas; Johan W. Verjans; Alastair D. Burt; Seon-Ho Shin; Rajvinder Singh; Gustavo Carneiro 001 (CoRR, 2021)

Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. - Yu Tian 001; Guansong Pang; Yuanhong Chen; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (CoRR, 2021)

Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. - Yuanhong Chen; Yu Tian 001; Guansong Pang; Gustavo Carneiro 001 (CoRR, 2021)

Similarity of Classification Tasks. - Cuong Nguyen 006; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2021)

Noisy Label Learning for Large-scale Medical Image Classification. - Fengbei Liu; Yu Tian 001; Filipe R. Cordeiro; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (CoRR, 2021)

Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. - Yu Tian 001; Fengbei Liu; Guansong Pang; Yuanhong Chen; Yuyuan Liu; Johan W. Verjans; Rajvinder Singh; Gustavo Carneiro 001 (CoRR, 2021)

ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification. - Fengbei Liu; Yu Tian 001; Yuanhong Chen; Yuyuan Liu; Vasileios Belagiannis; Gustavo Carneiro 001 (CoRR, 2021)

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

Deep One-Class Classification via Interpolated Gaussian Descriptor. - Yuanhong Chen; Yu Tian 001; Guansong Pang; Gustavo Carneiro 001 (AAAI, 2022)

Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. - Yuyuan Liu; Yu Tian 001; Yuanhong Chen; Fengbei Liu; Vasileios Belagiannis; Gustavo Carneiro 001 (CVPR, 2022)

ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. - Fengbei Liu; Yu Tian 001; Yuanhong Chen; Yuyuan Liu; Vasileios Belagiannis; Gustavo Carneiro 001 (CVPR, 2022)

Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. - Yu Tian 001; Yuyuan Liu; Guansong Pang; Fengbei Liu; Yuanhong Chen; Gustavo Carneiro 001 (ECCV (39), 2022)

Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction. - Hu Wang 005; Jianpeng Zhang; Yuanhong Chen; Congbo Ma; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (ECCV (37), 2022)

Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images. - Gerard Snaauw; Michele Sasdelli; Gabriel Maicas; Stephan Lau; Johan Verjans; Mark Jenkinson; Gustavo Carneiro 001 (EMBC, 2022)

Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. - Luiz H. Buris; Daniel C. G. Pedronette; João P. Papa; Jurandy Almeida; Gustavo Carneiro 001; Fábio Augusto Faria (ICIP, 2022)

In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos. - David Butler; Yuan Zhang; Tim Chen 001; Seon-Ho Shin; Rajvinder Singh; Gustavo Carneiro 001 (ISBI, 2022)

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. - Yuanhong Chen; Hu Wang 005; Chong Wang 012; Yu Tian 001; Fengbei Liu; Yuyuan Liu; Michael Elliott; Davis J. McCarthy; Helen Frazer; Gustavo Carneiro 001 (MICCAI (3), 2022)

Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation. - Youssef Dawoud; Katharina Ernst; Gustavo Carneiro 001; Vasileios Belagiannis (MOVI@MICCAI, 2022)

On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness. - Adrian Galdran; Gustavo Carneiro 001; Miguel Ángel González Ballester (DFUC@MICCAI, 2022)

Test Time Transform Prediction for Open Set Histopathological Image Recognition. - Adrian Galdran; Katherine Jane Hewitt; Narmin Ghaffari Laleh; Jakob Nikolas Kather; Gustavo Carneiro 001; Miguel Ángel González Ballester (MICCAI (2), 2022)

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

NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. - Fengbei Liu; Yuanhong Chen; Yu Tian 001; Yuyuan Liu; Chong Wang 012; Vasileios Belagiannis; Gustavo Carneiro 001 (MICCAI (3), 2022)

Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. - Yu Tian 001; Guansong Pang; Fengbei Liu; Yuyuan Liu; Chong Wang 012; Yuanhong Chen; Johan Verjans; Gustavo Carneiro 001 (MICCAI (3), 2022)

Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. - Chong Wang 012; Yuanhong Chen; Yuyuan Liu; Yu Tian 001; Fengbei Liu; Davis J. McCarthy; Michael Elliott; Helen Frazer; Gustavo Carneiro 001 (MICCAI (3), 2022)

A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. - Emeson Pereira; Gustavo Carneiro 001; Filipe R. Cordeiro (SIBGRAPI, 2022)

Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification. - Yuanhong Chen; Fengbei Liu; Yu Tian 001; Yuyuan Liu; Gustavo Carneiro 001 (CoRR, 2022)

Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. - Yu Tian 001; Guansong Pang; Yuyuan Liu; Chong Wang 012; Yuanhong Chen; Fengbei Liu; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (CoRR, 2022)

Toward a Human-Centered AI-assisted Colonoscopy System. - Hsiang-Ting Chen; Yuan Zhang; Gustavo Carneiro 001; Seon-Ho Shin; Rajvinder Singh (CoRR, 2022)

Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. - Dung Anh Hoang; Cuong Nguyen 006; Vasileios Belagiannis; Gustavo Carneiro 001 (CoRR, 2022)

An Evolutionary Approach for Creating of Diverse Classifier Ensembles. - Alvaro R. Ferreira Jr.; Fábio Augusto Faria; Gustavo Carneiro 001; Vinícius Veloso de Melo (CoRR, 2022)

A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. - Emeson Santana; Gustavo Carneiro 001; Filipe R. Cordeiro (CoRR, 2022)

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. - Yuanhong Chen; Hu Wang 005; Chong Wang 012; Yu Tian 001; Fengbei Liu; Michael Elliott; Davis J. McCarthy; Helen Frazer; Gustavo Carneiro 001 (CoRR, 2022)

Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling. - Hu Wang 005; Yuanhong Chen; Congbo Ma; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (CVPR, 2023)

The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification. - David Butler; Hu Wang 005; Yuan Zhang; Minh-Son To; George Condous; Mathew Leonardi; Steven Knox; Jodie Avery; M. Louise Hull; Gustavo Carneiro 001 (EMBC, 2023)

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification. - Yuanhong Chen; Fengbei Liu; Hu Wang 005; Chong Wang 012; Yuyuan Liu; Yu Tian 001; Gustavo Carneiro 001 (ICCV, 2023)

Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. - Yuyuan Liu; Choubo Ding; Yu Tian 001; Guansong Pang; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (ICCV, 2023)

Learning Support and Trivial Prototypes for Interpretable Image Classification. - Chong Wang 012; Yuyuan Liu; Yuanhong Chen; Fengbei Liu; Yu Tian 001; Davis J. McCarthy; Helen Frazer; Gustavo Carneiro 001 (ICCV, 2023)

SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation. - Youssef Dawoud; Gustavo Carneiro 001; Vasileios Belagiannis (ICCV (Workshops), 2023)

Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. - Yuan Zhang; Hu Wang 005; David Butler; Minh-Son To; Jodie Avery; M. Louise Hull; Gustavo Carneiro 001 (ISBI, 2023)

Multi-Head Multi-Loss Model Calibration. - Adrian Galdran; Johan W. Verjans; Gustavo Carneiro 001; Miguel Ángel González Ballester (MICCAI (3), 2023)

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. - Hu Wang 005; Congbo Ma; Jianpeng Zhang; Yuan Zhang; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (MICCAI (4), 2023)

Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. - Yu Tian 001; Guansong Pang; Yuyuan Liu; Chong Wang 012; Yuanhong Chen; Fengbei Liu; Rajvinder Singh; Johan W. Verjans; Mengyu Wang 001; Gustavo Carneiro 001 (MLMI@MICCAI (2), 2023)

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. - Van Cuong Pham; Cuong C. Nguyen; Trung Le 001; Dinh Phung 001; Gustavo Carneiro 001; Thanh-Toan Do (NeurIPS, 2023)

Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. - Youssef Dawoud; Arij Bouazizi; Katharina Ernst; Gustavo Carneiro 001; Vasileios Belagiannis (WACV, 2023)

Instance-Dependent Noisy Label Learning via Graphical Modelling. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Thanh-Toan Do; Gustavo Carneiro 001 (WACV, 2023)

Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels. - Brandon Smart; Gustavo Carneiro 001 (WACV, 2023)

Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning. - Fengbei Liu; Yuanhong Chen; Chong Wang 012; Yu Tian 001; Gustavo Carneiro 001 (CoRR, 2023)

Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach. - Cuong Nguyen 006; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2023)

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (CoRR, 2023)

PASS: Peer-Agreement based Sample Selection for training with Noisy Labels. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2023)

A Closer Look at Audio-Visual Semantic Segmentation. - Yuanhong Chen; Yuyuan Liu; Hu Wang 005; Fengbei Liu; Chong Wang 012; Gustavo Carneiro 001 (CoRR, 2023)

Noisy-label Learning with Sample Selection based on Noise Rate Estimate. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2023)

Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior. - Fengbei Liu; Yuanhong Chen; Chong Wang 012; Yuyuan Liu; Gustavo Carneiro 001 (CoRR, 2023)

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. - Hu Wang 005; Yuanhong Chen; Congbo Ma; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (CoRR, 2023)

Learning to Complement with Multiple Humans (LECOMH): Integrating Multi-rater and Noisy-Label Learning into Human-AI Collaboration. - Zheng Zhang 046; Kevin Wells; Gustavo Carneiro 001 (CoRR, 2023)

Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification. - Chong Wang 012; Yuanhong Chen; Fengbei Liu; Davis James McCarthy; Helen Frazer; Gustavo Carneiro 001 (CoRR, 2023)

PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors. - Cuong Nguyen 006; Thanh-Toan Do; Gustavo Carneiro 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

LongReMix: Robust learning with high confidence samples in a noisy label environment. - Filipe R. Cordeiro; Ragav Sachdeva; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (Pattern Recognit., 2023)

ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. - Ragav Sachdeva; Filipe Rolim Cordeiro; Vasileios Belagiannis; Ian Reid 001; Gustavo Carneiro 001 (Pattern Recognit., 2023)

Task Weighting in Meta-learning with Trajectory Optimisation. - Cuong C. Nguyen; Thanh-Toan Do; Gustavo Carneiro 001 (Trans. Mach. Learn. Res., 2023)

BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images. - Chong Wang 012; Zhiming Cui; Junwei Yang; Miaofei Han; Gustavo Carneiro 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. - Yu Tian 001; Fengbei Liu; Guansong Pang; Yuanhong Chen; Yuyuan Liu; Johan W. Verjans; Rajvinder Singh; Gustavo Carneiro 001 (Medical Image Anal., 2023)

Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation. - Amir El-Ghoussani; Julia Hornauer; Gustavo Carneiro 001; Vasileios Belagiannis (CoLLAs, 2024)

Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation. - Yuanhong Chen; Yuyuan Liu; Hu Wang 005; Fengbei Liu; Chong Wang 012; Helen Frazer; Gustavo Carneiro 001 (CVPR, 2024)

CPM: Class-Conditional Prompting Machine for Audio-Visual Segmentation. - Yuanhong Chen; Chong Wang 012; Yuyuan Liu; Hu Wang 005; Gustavo Carneiro 001 (ECCV (10), 2024)

Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Thanh-Toan Do; Gustavo Carneiro 001 (ECCV (4), 2024)

ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. - Yuyuan Liu; Yuanhong Chen; Hu Wang 005; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (ECCV (1), 2024)

MetaAug: Meta-data Augmentation for Post-training Quantization. - Cuong Pham 007; Hoang Anh Dung; Cuong C. Nguyen; Trung Le 001; Dinh Phung 001; Gustavo Carneiro 001; Thanh-Toan Do (ECCV (27), 2024)

Bayesian Detector Combination for Object Detection with Crowdsourced Annotations. - Zhi Qin Tan; Olga Isupova; Gustavo Carneiro 001; Xiatian Zhu; Yunpeng Li 001 (ECCV (63), 2024)

Learning to Complement and to Defer to Multiple Users. - Zheng Zhang 046; Wenjie Ai; Kevin Wells; David Rosewarne; Thanh-Toan Do; Gustavo Carneiro 001 (ECCV (56), 2024)

Computer vision-inspired contrastive learning for self-supervised anomaly detection in sensor-based remote healthcare monitoring. - Nivedita Bijlani; Maowen Yin; Gustavo Carneiro 001; Payam M. Barnaghi; Samaneh Kouchaki (EMBC, 2024)

Effects of Primary Capsule Shapes and Sizes in Capsule Networks. - William Tapper; Gustavo Carneiro 001; Mohammad Hussein; Phillip Evans; Spencer Angus Thomas (ICPR (5), 2024)

Learning Subjective Image Quality Assessment for Transvaginal Ultrasound Scans from Multi-Annotator Labels. - Daniel Petashvili; Hu Wang 005; Alison Deslandes; Jodie Avery; George Condous; Gustavo Carneiro 001; Louise Hull; Hsiang-Ting Chen (ISBI, 2024)

Frequency Attention for Knowledge Distillation. - Cuong Pham 007; Van-Anh Nguyen; Trung Le 001; Dinh Q. Phung; Gustavo Carneiro 001; Thanh-Toan Do (WACV, 2024)

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

Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities. - Hu Wang 005; Congbo Ma; Yuyuan Liu; Yuanhong Chen; Yu Tian 001; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (CoRR, 2024)

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. - Cuong Pham 007; Cuong C. Nguyen; Trung Le 001; Dinh Q. Phung; Gustavo Carneiro 001; Thanh-Toan Do (CoRR, 2024)

Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis. - Hu Wang 005; David Butler; Yuan Zhang; Jodie Avery; Steven Knox; Congbo Ma; Louise Hull; Gustavo Carneiro 001 (CoRR, 2024)

ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels. - Filipe R. Cordeiro; Gustavo Carneiro 001 (CoRR, 2024)

Rethinking Weight-Averaged Model-merging. - Hu Wang 005; Congbo Ma; Ibrahim Almakky; Ian Reid 001; Gustavo Carneiro 001; Mohammad Yaqub (CoRR, 2024)

Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging. - Milad Masroor; Tahir Hassan; Yu Tian 001; Kevin Wells; David Rosewarne; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2024)

Coverage-Constrained Human-AI Cooperation with Multiple Experts. - Zheng Zhang 046; Cuong Nguyen 006; Kevin Wells; Thanh-Toan Do; David Rosewarne; Gustavo Carneiro 001 (CoRR, 2024)

BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations. - Yuanhong Chen; Yuyuan Liu; Chong Wang 012; Michael Elliott; Chun Fung Kwok; Carlos A. Peña-Solórzano; Yu Tian 001; Fengbei Liu; Helen Frazer; Davis J. McCarthy; Gustavo Carneiro 001 (Medical Image Anal., 2024)

Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. - Moi Hoon Yap; Bill Cassidy; Michal Byra; Ting-Yu Liao; Huahui Yi; Adrian Galdran; Yung-Han Chen; Raphael Brüngel; Sven Koitka; Christoph M. Friedrich; Yu-Wen Lo; Ching-Hui Yang; et al. (Medical Image Anal., 2024)

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (IEEE Trans. Medical Imaging, 2024)

An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning. - Chong Wang 012; Yuanhong Chen; Fengbei Liu; Michael Elliott; Chun Fung Kwok; Carlos A. Peña-Solórzano; Helen Frazer; Davis James McCarthy; Gustavo Carneiro 001 (IEEE Trans. Medical Imaging, 2024)

CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss. - Dileepa Pitawela; Gustavo Carneiro 001; Hsiang-Ting Chen (CVPR, 2025)

Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution. - Cuong C. Nguyen; Thanh-Toan Do; Gustavo Carneiro 001 (ICLR, 2025)

A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification. - Yuan Zhang; Yutong Xie 001; Hu Wang 005; Jodie C. Avery; M. Louise Hull; Gustavo Carneiro 001 (WACV, 2025)

Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis. - Yuan Zhang; Hu Wang 005; David Butler; Brandon Smart; Yutong Xie 001; Minh-Son To; Steven Knox; George Condous; Mathew Leonardi; Jodie C. Avery; M. Louise Hull; Gustavo Carneiro 001 (Comput. Medical Imaging Graph., 2025)

Leveraging labelled data knowledge: A cooperative rectification learning network for semi-supervised 3D medical image segmentation. - Yanyan Wang; Kechen Song; Yuyuan Liu; Shuai Ma; Yunhui Yan; Gustavo Carneiro 001 (Medical Image Anal., 2025)

ANNE: Adaptive Nearest Neighbours and Eigenvector-based sample selection for robust learning with noisy labels. - Filipe R. Cordeiro; Gustavo Carneiro 001 (Pattern Recognit., 2025)

Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. - Hoang Anh Dung; Cuong C. Nguyen; Vasileios Belagiannis; Thanh-Toan Do; Gustavo Carneiro 001 (Trans. Mach. Learn. Res., 2025)

AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Yuyuan Liu; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2025)

Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning. - Hanxuan Wang; Na Lu; Xueying Zhao; Yuxuan Yan; Kaipeng Ma; Kwoh Chee Keong 001; Gustavo Carneiro 001 (CoRR, 2025)

Translation Consistent Semi-Supervised Segmentation for 3D Medical Images. - Yuyuan Liu; Yu Tian 001; Chong Wang 012; Yuanhong Chen; Fengbei Liu; Vasileios Belagiannis; Gustavo Carneiro 001 (IEEE Trans. Medical Imaging, 2025)

AI-Powered Prediction of Nanoparticle Pharmacokinetics: A Multi-View Learning Approach. - Amirhossein Khakpour; Lucia Florescu; Richard Tilley; Haibo Jiang; K. Swaminathan Iyer; Gustavo Carneiro 001 (CoRR, 2025)

Toward a Human-Centered AI-assisted Colonoscopy System in Australia. - Hsiang-Ting Chen; Yuan Zhang; Gustavo Carneiro 001; Rajvinder Singh (CoRR, 2025)

Self-Correcting Clustering. - Hanxuan Wang; Na Lu; Zixuan Wang; Yuxuan Yan; Gustavo Carneiro 001; Zhen Wang 004 (IEEE Trans. Knowl. Data Eng., 2025)

AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting. - Yuyuan Liu; Yuanhong Chen; Chong Wang 012; Junlin Han; Junde Wu; Can Peng; Jingkun Chen; Yu Tian 001; Gustavo Carneiro 001 (CoRR, 2025)

Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images. - David Butler; Adrian Hilton 001; Gustavo Carneiro 001 (CoRR, 2025)

Cross- and Intra-Image Prototypical Learning for Multi-Label Disease Diagnosis and Interpretation. - Chong Wang 012; Fengbei Liu; Yuanhong Chen; Helen Frazer; Gustavo Carneiro 001 (IEEE Trans. Medical Imaging, 2025)

TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model. - Ao Li; Yuxiang Duan; Jinghui Zhang; Congbo Ma; Yutong Xie 001; Gustavo Carneiro 001; Mohammad Yaqub; Hu Wang 005 (CoRR, 2025)

Mixture of Gaussian-Distributed Prototypes With Generative Modelling for Interpretable and Trustworthy Image Recognition. - Chong Wang 012; Yuanhong Chen; Fengbei Liu; Yuyuan Liu; Davis James McCarthy; Helen Frazer; Gustavo Carneiro 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Progressive Mining and Dynamic Distillation of Hierarchical Prototypes for Disease Classification and Localisation. - Chong Wang 012; Fengbei Liu; Yuanhong Chen; Chun Fung Kwok; Michael Elliott; Carlos A. Peña-Solórzano; Davis James McCarthy; Helen Frazer; Gustavo Carneiro 001 (IEEE J. Biomed. Health Informatics, 2025)