Gustavo Carneiro

381 papers A* 31A 12B 19Misc 11Journal 196Unranked 99

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Coverage-Constrained Human-AI Cooperation with Multiple Experts. AAAI Zheng Zhang, Cuong C. Nguyen, Kevin Wells, Thanh-Toan Do, David Rosewarne, Gustavo Carneiro
2026	J	`jnl`	Deep Multimodal Learning with Missing Modality: A Survey. Trans. Mach. Learn. Res. Renjie Wu, Hu Wang, Hsiang-Ting Chen, Gustavo Carneiro
2026	J	`jnl`	L2CU: Learning to Complement Unseen Users. CoRR Dileepa Pitawela, Gustavo Carneiro, Hsiang-Ting Chen
2026	J	`jnl`	Learning to complement with multiple humans. Pattern Recognit. Zheng Zhang, Cuong Nguyen, Kevin Wells, Thanh-Toan Do, Gustavo Carneiro
2026	J	`jnl`	PASS: Peer-agreement based sample selection for training with instance dependent noisy labels. Image Vis. Comput. Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
2026	—	`conf`	Visual Autoregressive Modelling for Monocular Depth Estimation. VISAPP (3) Amir El-Ghoussani, André Kaup, Nassir Navab, Gustavo Carneiro, Vasileios Belagiannis
2025	A	`conf`	A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification. WACV Yuan Zhang, Yutong Xie, Hu Wang, Jodie C. Avery, M. Louise Hull, Gustavo Carneiro
2025	J	`jnl`	AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning. CoRR Arpit Garg, Cuong Nguyen, Rafael Felix, Yuyuan Liu, Thanh-Toan Do, Gustavo Carneiro
2025	J	`jnl`	AI-Powered Prediction of Nanoparticle Pharmacokinetics: A Multi-View Learning Approach. CoRR Amirhossein Khakpour, Lucia Florescu, Richard Tilley, Haibo Jiang, K. Swaminathan Iyer, Gustavo Carneiro
2025	J	`jnl`	ANNE: Adaptive Nearest Neighbours and Eigenvector-based sample selection for robust learning with noisy labels. Pattern Recognit. Filipe R. Cordeiro, Gustavo Carneiro
2025	J	`jnl`	Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models. CoRR Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Gustavo Carneiro, Jianfei Cai, Thanh-Toan Do
2025	J	`jnl`	AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting. CoRR Yuyuan Liu, Yuanhong Chen, Chong Wang, Junlin Han, Junde Wu, Can Peng, Jingkun Chen, Yu Tian, Gustavo Carneiro
2025	A*	`conf`	CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss. CVPR Dileepa Pitawela, Gustavo Carneiro, Hsiang-Ting Chen
2025	J	`jnl`	CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss. CoRR Dileepa Pitawela, Gustavo Carneiro, Hsiang-Ting Chen
2025	J	`jnl`	Cross- and Intra-Image Prototypical Learning for Multi-Label Disease Diagnosis and Interpretation. IEEE Trans. Medical Imaging Chong Wang, Fengbei Liu, Yuanhong Chen, Helen Frazer, Gustavo Carneiro
2025	J	`jnl`	Evaluating Multiple Instance Learning Strategies for Automated Sebocyte Droplet Counting. CoRR Maryam Adelipour, Gustavo Carneiro, Jeongkwon Kim
2025	J	`jnl`	L2CU: Learning to Complement Unseen Users. IEEE Access Dileepa Pitawela, Gustavo Carneiro, Hsiang-Ting Chen
2025	J	`jnl`	Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models. CoRR Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Gustavo Carneiro, Thanh-Toan Do
2025	J	`jnl`	Learning To Defer To A Population With Limited Demonstrations. CoRR Nilesh Ramgolam, Gustavo Carneiro, Hsiang-Ting Chen
2025	J	`jnl`	Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation. CoRR Yanyan Wang, Kechen Song, Yuyuan Liu, Shuai Ma, Yunhui Yan, Gustavo Carneiro
2025	J	`jnl`	Leveraging labelled data knowledge: A cooperative rectification learning network for semi-supervised 3D medical image segmentation. Medical Image Anal. Yanyan Wang, Kechen Song, Yuyuan Liu, Shuai Ma, Yunhui Yan, Gustavo Carneiro
2025	J	`jnl`	Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. Trans. Mach. Learn. Res. Hoang Anh Dung, Cuong C. Nguyen, Vasileios Belagiannis, Thanh-Toan Do, Gustavo Carneiro
2025	J	`jnl`	Mixture of Gaussian-Distributed Prototypes With Generative Modelling for Interpretable and Trustworthy Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Chong Wang, Yuanhong Chen, Fengbei Liu, Yuyuan Liu, Davis James McCarthy, Helen Frazer, Gustavo Carneiro
2025	A*	`conf`	Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution. ICLR Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
2025	J	`jnl`	Progressive Mining and Dynamic Distillation of Hierarchical Prototypes for Disease Classification and Localisation. IEEE J. Biomed. Health Informatics Chong Wang, Fengbei Liu, Yuanhong Chen, Chun Fung Kwok, Michael Elliott, Carlos A. Peña-Solórzano, Davis James McCarthy, Helen Frazer, Gustavo Carneiro
2025	—	`conf`	Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model Using X-Ray Images. MICCAI (14) David Butler, Adrian Hilton, Gustavo Carneiro
2025	J	`jnl`	Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images. CoRR David Butler, Adrian Hilton, Gustavo Carneiro
2025	J	`jnl`	Self-Correcting Clustering. IEEE Trans. Knowl. Data Eng. Hanxuan Wang, Na Lu, Zixuan Wang, Yuxuan Yan, Gustavo Carneiro, Zhen Wang
2025	J	`jnl`	Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning. CoRR Hanxuan Wang, Na Lu, Xueying Zhao, Yuxuan Yan, Kaipeng Ma, Kwoh Chee Keong, Gustavo Carneiro
2025	J	`jnl`	Toward a Human-Centered AI-assisted Colonoscopy System in Australia. CoRR Hsiang-Ting Chen, Yuan Zhang, Gustavo Carneiro, Rajvinder Singh
2025	J	`jnl`	TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model. CoRR Ao Li, Yuxiang Duan, Jinghui Zhang, Congbo Ma, Yutong Xie, Gustavo Carneiro, Mohammad Yaqub, Hu Wang
2025	J	`jnl`	Translation Consistent Semi-Supervised Segmentation for 3D Medical Images. IEEE Trans. Medical Imaging Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
2025	J	`jnl`	Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis. Comput. Medical Imaging Graph. Yuan Zhang, Hu Wang, David Butler, Brandon Smart, Yutong Xie, Minh-Son To, Steven Knox, George Condous, Mathew Leonardi, Jodie C. Avery, M. Louise Hull, Gustavo Carneiro
2025	J	`jnl`	Visual Autoregressive Modelling for Monocular Depth Estimation. CoRR Amir El-Ghoussani, André Kaup, Nassir Navab, Gustavo Carneiro, Vasileios Belagiannis
2024	J	`jnl`	A Novel Perspective for Multi-modal Multi-label Skin Lesion Classification. CoRR Yuan Zhang, Yutong Xie, Hu Wang, Jodie Avery, M. Louise Hull, Gustavo Carneiro
2024	J	`jnl`	AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. IEEE Trans. Medical Imaging 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, Gustavo Carneiro, Devika R. G, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez
2024	J	`jnl`	ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels. CoRR Filipe R. Cordeiro, Gustavo Carneiro
2024	J	`jnl`	An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning. IEEE Trans. Medical Imaging Chong Wang, Yuanhong Chen, Fengbei Liu, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, Helen Frazer, Davis James McCarthy, Gustavo Carneiro
2024	J	`jnl`	BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations. Medical Image Anal. Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, Yu Tian, Fengbei Liu, Helen Frazer, Davis J. McCarthy, Gustavo Carneiro
2024	—	`conf`	Bayesian Detector Combination for Object Detection with Crowdsourced Annotations. ECCV (63) Zhi Qin Tan, Olga Isupova, Gustavo Carneiro, Xiatian Zhu, Yunpeng Li
2024	J	`jnl`	Bayesian Detector Combination for Object Detection with Crowdsourced Annotations. CoRR Zhi Qin Tan, Olga Isupova, Gustavo Carneiro, Xiatian Zhu, Yunpeng Li
2024	—	`conf`	CPM: Class-Conditional Prompting Machine for Audio-Visual Segmentation. ECCV (10) Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro
2024	J	`jnl`	CPM: Class-conditional Prompting Machine for Audio-visual Segmentation. CoRR Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro
2024	—	`conf`	Computer vision-inspired contrastive learning for self-supervised anomaly detection in sensor-based remote healthcare monitoring. EMBC Nivedita Bijlani, Maowen Yin, Gustavo Carneiro, Payam M. Barnaghi, Samaneh Kouchaki
2024	—	`conf`	Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation. CoLLAs Amir El-Ghoussani, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis
2024	J	`jnl`	Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation. CoRR Amir El-Ghoussani, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis
2024	J	`jnl`	Coverage-Constrained Human-AI Cooperation with Multiple Experts. CoRR Zheng Zhang, Cuong Nguyen, Kevin Wells, Thanh-Toan Do, David Rosewarne, Gustavo Carneiro
2024	J	`jnl`	Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation. CoRR Chong Wang, Fengbei Liu, Yuanhong Chen, Helen Frazer, Gustavo Carneiro
2024	J	`jnl`	Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. Medical Image Anal. 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, Kang Li, Qicheng Lao, Miguel Ángel González Ballester, Gustavo Carneiro, Yi-Jen Ju, Juinn-Dar Huang, Joseph M. Pappachan, Neil D. Reeves, Vishnu Chandrabalan, Darren Dancey, Connah Kendrick
2024	—	`conf`	Effects of Primary Capsule Shapes and Sizes in Capsule Networks. ICPR (5) William Tapper, Gustavo Carneiro, Mohammad Hussein, Phillip Evans, Spencer Angus Thomas
2024	J	`jnl`	Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities. CoRR Hu Wang, Congbo Ma, Yuyuan Liu, Yuanhong Chen, Yu Tian, Jodie Avery, Louise Hull, Gustavo Carneiro
2024	J	`jnl`	Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging. CoRR Milad Masroor, Tahir Hassan, Yu Tian, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro
2024	A	`conf`	Frequency Attention for Knowledge Distillation. WACV Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
2024	J	`jnl`	Frequency Attention for Knowledge Distillation. CoRR Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
2024	J	`jnl`	Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis. CoRR Hu Wang, David Butler, Yuan Zhang, Jodie Avery, Steven Knox, Congbo Ma, Louise Hull, Gustavo Carneiro
2024	—	`conf`	Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation. ECCV (4) Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
2024	—	`conf`	ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. ECCV (1) Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2024	J	`jnl`	ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. CoRR Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
2024	—	`conf`	Learning Subjective Image Quality Assessment for Transvaginal Ultrasound Scans from Multi-Annotator Labels. ISBI Daniel Petashvili, Hu Wang, Alison Deslandes, Jodie Avery, George Condous, Gustavo Carneiro, Louise Hull, Hsiang-Ting Chen
2024	—	`conf`	Learning to Complement and to Defer to Multiple Users. ECCV (56) Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro
2024	J	`jnl`	Learning to Complement and to Defer to Multiple Users. CoRR Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro
2024	J	`jnl`	MetaAug: Meta-Data Augmentation for Post-Training Quantization. CoRR Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
2024	—	`conf`	MetaAug: Meta-data Augmentation for Post-training Quantization. ECCV (27) Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
2024	J	`jnl`	Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. CoRR Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
2024	J	`jnl`	Rethinking Weight-Averaged Model-merging. CoRR Hu Wang, Congbo Ma, Ibrahim Almakky, Ian Reid, Gustavo Carneiro, Mohammad Yaqub
2024	A*	`conf`	Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation. CVPR Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Helen Frazer, Gustavo Carneiro
2024	J	`jnl`	Weakly-supervised preclinical tumor localization associated with survival prediction from lung cancer screening Chest X-ray images. Comput. Medical Imaging Graph. Renato Hermoza, Jacinto C. Nascimento, Gustavo Carneiro
2023	J	`jnl`	A Closer Look at Audio-Visual Semantic Segmentation. CoRR Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Gustavo Carneiro
2023	J	`jnl`	AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR 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, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez
2023	J	`jnl`	Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning. CoRR Fengbei Liu, Yuanhong Chen, Chong Wang, Yu Tian, Gustavo Carneiro
2023	J	`jnl`	BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations. CoRR Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, Yu Tian, Fengbei Liu, Helen Frazer, Davis J. McCarthy, Gustavo Carneiro
2023	A*	`conf`	BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification. ICCV Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro
2023	A	`conf`	Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels. WACV Brandon Smart, Gustavo Carneiro
2023	J	`jnl`	BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images. IEEE Trans. Medical Imaging Chong Wang, Zhiming Cui, Junwei Yang, Miaofei Han, Gustavo Carneiro, Dinggang Shen
2023	—	`conf`	Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. ISBI Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M. Louise Hull, Gustavo Carneiro
2023	J	`jnl`	Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. CoRR Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M. Louise Hull, Gustavo Carneiro
2023	J	`jnl`	Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior. CoRR Fengbei Liu, Yuanhong Chen, Chong Wang, Yuyuan Liu, Gustavo Carneiro
2023	A	`conf`	Instance-Dependent Noisy Label Learning via Graphical Modelling. WACV Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
2023	A	`conf`	Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. WACV Youssef Dawoud, Arij Bouazizi, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis
2023	—	`conf`	Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. MICCAI (4) Hu Wang, Congbo Ma, Jianpeng Zhang, Yuan Zhang, Jodie Avery, Louise Hull, Gustavo Carneiro
2023	J	`jnl`	Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. CoRR Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
2023	A*	`conf`	Learning Support and Trivial Prototypes for Interpretable Image Classification. ICCV Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
2023	J	`jnl`	Learning Support and Trivial Prototypes for Interpretable Image Classification. CoRR Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
2023	J	`jnl`	Learning to Complement with Multiple Humans (LECOMH): Integrating Multi-rater and Noisy-Label Learning into Human-AI Collaboration. CoRR Zheng Zhang, Kevin Wells, Gustavo Carneiro
2023	J	`jnl`	LongReMix: Robust learning with high confidence samples in a noisy label environment. Pattern Recognit. Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2023	J	`jnl`	Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification. CoRR Chong Wang, Yuanhong Chen, Fengbei Liu, Davis James McCarthy, Helen Frazer, Gustavo Carneiro
2023	A*	`conf`	Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. NeurIPS Van Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
2023	—	`conf`	Multi-Head Multi-Loss Model Calibration. MICCAI (3) Adrian Galdran, Johan W. Verjans, Gustavo Carneiro, Miguel Ángel González Ballester
2023	J	`jnl`	Multi-Head Multi-Loss Model Calibration. CoRR Adrian Galdran, Johan Verjans, Gustavo Carneiro, Miguel Ángel González Ballester
2023	A*	`conf`	Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling. CVPR Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
2023	J	`jnl`	Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling. CoRR Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
2023	J	`jnl`	Noisy-label Learning with Sample Selection based on Noise Rate Estimate. CoRR Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
2023	J	`jnl`	PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors. IEEE Trans. Pattern Anal. Mach. Intell. Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2023	J	`jnl`	PASS: Peer-Agreement based Sample Selection for training with Noisy Labels. CoRR Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
2023	A*	`conf`	Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. ICCV Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2023	J	`jnl`	ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. Pattern Recognit. Ragav Sachdeva, Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
2023	—	`conf`	SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation. ICCV (Workshops) Youssef Dawoud, Gustavo Carneiro, Vasileios Belagiannis
2023	J	`jnl`	SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation. CoRR Youssef Dawoud, Gustavo Carneiro, Vasileios Belagiannis
2023	J	`jnl`	Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical Image Anal. Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2023	J	`jnl`	Task Weighting in Meta-learning with Trajectory Optimisation. CoRR Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2023	J	`jnl`	Task Weighting in Meta-learning with Trajectory Optimisation. Trans. Mach. Learn. Res. Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
2023	—	`conf`	The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification. EMBC David Butler, Hu Wang, Yuan Zhang, Minh-Son To, George Condous, Mathew Leonardi, Steven Knox, Jodie Avery, M. Louise Hull, Gustavo Carneiro
2023	J	`jnl`	Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach. CoRR Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2023	—	`conf`	Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. MLMI@MICCAI (2) Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro
2022	—	`conf`	A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. SIBGRAPI Emeson Pereira, Gustavo Carneiro, Filipe R. Cordeiro
2022	J	`jnl`	A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. CoRR Emeson Santana, Gustavo Carneiro, Filipe R. Cordeiro
2022	A*	`conf`	ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. CVPR Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro
2022	J	`jnl`	An Evolutionary Approach for Creating of Diverse Classifier Ensembles. CoRR Alvaro R. Ferreira Jr., Fábio Augusto Faria, Gustavo Carneiro, Vinícius Veloso de Melo
2022	J	`jnl`	Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels. CoRR Brandon Smart, Gustavo Carneiro
2022	—	`conf`	Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images. MICCAI (8) Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
2022	J	`jnl`	Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images. CoRR Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
2022	—	`conf`	Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. MICCAI (3) Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro
2022	J	`jnl`	Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. CoRR Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan W. Verjans, Gustavo Carneiro
2022	A*	`conf`	Deep One-Class Classification via Interpolated Gaussian Descriptor. AAAI Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
2022	J	`jnl`	Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation. CoRR Youssef Dawoud, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis
2022	—	`conf`	Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation. MOVI@MICCAI Youssef Dawoud, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis
2022	—	`conf`	In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos. ISBI David Butler, Yuan Zhang, Tim Chen, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro
2022	J	`jnl`	In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos. CoRR David Butler, Yuan Zhang, Tim Chen, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro
2022	J	`jnl`	Instance-Dependent Noisy Label Learning via Graphical Modelling. CoRR Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
2022	J	`jnl`	Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. CoRR Youssef Dawoud, Arij Bouazizi, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis
2022	—	`conf`	Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. MICCAI (3) Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro
2022	J	`jnl`	Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. CoRR Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro
2022	J	`jnl`	Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. CoRR Dung Anh Hoang, Cuong Nguyen, Vasileios Belagiannis, Gustavo Carneiro
2022	B	`conf`	Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. ICIP Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria
2022	J	`jnl`	Mixup-based Deep Metric Learning Approaches for Incomplete Supervision. CoRR Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria
2022	—	`conf`	Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. MICCAI (3) Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
2022	J	`jnl`	Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. CoRR Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
2022	—	`conf`	Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images. EMBC Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro
2022	J	`jnl`	Mutual information neural estimation for unsupervised multi-modal registration of brain images. CoRR Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro
2022	—	`conf`	NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. MICCAI (3) Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro
2022	—	`conf`	On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness. DFUC@MICCAI Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2022	J	`jnl`	On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness. CoRR Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2022	A*	`conf`	Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CVPR Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
2022	—	`conf`	Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. ECCV (39) Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
2022	J	`jnl`	Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. CoRR Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2022	J	`jnl`	Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification. CoRR Yuanhong Chen, Fengbei Liu, Yu Tian, Yuyuan Liu, Gustavo Carneiro
2022	—	`conf`	Test Time Transform Prediction for Open Set Histopathological Image Recognition. MICCAI (2) Adrian Galdran, Katherine Jane Hewitt, Narmin Ghaffari Laleh, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Ángel González Ballester
2022	J	`jnl`	Test Time Transform Prediction for Open Set Histopathological Image Recognition. CoRR Adrian Galdran, Katherine Jane Hewitt, Narmin Ghaffari Laleh, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Ángel González Ballester
2022	J	`jnl`	Toward a Human-Centered AI-assisted Colonoscopy System. CoRR Hsiang-Ting Chen, Yuan Zhang, Gustavo Carneiro, Seon-Ho Shin, Rajvinder Singh
2022	J	`jnl`	Translation Consistent Semi-supervised Segmentation for 3D Medical Images. CoRR Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
2022	—	`conf`	Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction. ECCV (37) Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
2022	J	`jnl`	Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction. CoRR Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
2022	J	`jnl`	Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. CoRR Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2021	—	`conf`	3D Semantic Mapping from Arthroscopy Using Out-of-Distribution Pose and Depth and In-Distribution Segmentation Training. MICCAI (2) Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey
2021	J	`jnl`	3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training. CoRR Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey
2021	Misc	`conf`	A Chaos Theory Approach to Understand Neural Network Optimization. DICTA Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, Gustavo Carneiro
2021	J	`jnl`	ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification. CoRR Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro
2021	J	`jnl`	Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: A systematic review and meta-analysis. Artif. Intell. Medicine Sergei Bedrikovetski, Nagendra N. Dudi-Venkata, Gabriel Maicas, Hidde M. Kroon, Warren Seow, Gustavo Carneiro, James W. Moore, Tarik Sammour
2021	—	`conf`	Balanced-MixUp for Highly Imbalanced Medical Image Classification. MICCAI (5) Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2021	J	`jnl`	Balanced-MixUp for Highly Imbalanced Medical Image Classification. CoRR Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2021	Misc	`conf`	Combining Data Augmentation and Domain Distance Minimisation to Reduce Domain Generalisation Error. DICTA Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro
2021	—	`conf`	Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. MICCAI (5) Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2021	J	`jnl`	Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. CoRR Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2021	—	`conf`	Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. DFUC@MICCAI Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2021	J	`jnl`	Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. CoRR Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2021	J	`jnl`	Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning. CoRR Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W. Verjans, Alastair D. Burt, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro
2021	A*	`conf`	Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract). AAAI Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro
2021	J	`jnl`	Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. CoRR Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2021	A	`conf`	EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. WACV Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	J	`jnl`	LOW: Training deep neural networks by learning optimal sample weights. Pattern Recognit. Carlos Santiago, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Jacinto C. Nascimento
2021	—	`conf`	Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next. CLIP/DCL/LL-COVID19/PPML@MICCAI Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi
2021	J	`jnl`	LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment. CoRR Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	—	`conf`	Multi-Center Polyp Segmentation withDouble Encoder-Decoder Networks. EndoCV@ISBI Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2021	J	`jnl`	Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. CoRR Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2021	J	`jnl`	Noisy Label Learning for Large-scale Medical Image Classification. CoRR Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	J	`jnl`	Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CoRR Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
2021	J	`jnl`	Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. CoRR Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
2021	—	`conf`	Post-Hoc Overall Survival Time Prediction From Brain MRI. ISBI Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
2021	J	`jnl`	Post-hoc Overall Survival Time Prediction from Brain MRI. CoRR Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
2021	A	`conf`	Probabilistic task modelling for meta-learning. UAI Cuong Cao Nguyen, Thanh-Toan Do, Gustavo Carneiro
2021	J	`jnl`	Probabilistic task modelling for meta-learning. CoRR Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2021	A	`conf`	PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. BMVC Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
2021	J	`jnl`	PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. CoRR Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	J	`jnl`	ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. CoRR Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	—	`conf`	Self-Supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging. MICCAI (7) Minh-Son To, Ian G. Sarno, Chee Chong, Mark Jenkinson, Gustavo Carneiro
2021	J	`jnl`	Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging. CoRR Minh-Son To, Ian G. Sarno, Chee Chong, Mark Jenkinson, Gustavo Carneiro
2021	—	`conf`	Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. MLMI@MICCAI Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	J	`jnl`	Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification. CoRR Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	J	`jnl`	Semantics for Robotic Mapping, Perception and Interaction: A Survey. CoRR Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford
2021	J	`jnl`	Similarity of Classification Tasks. CoRR Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2021	J	`jnl`	Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. CoRR Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
2021	J	`jnl`	Visual Localisation for Knee Arthroscopy. Int. J. Comput. Assist. Radiol. Surg. Artur Banach, Mario Strydom, Anjali Tumkur Jaiprakash, Gustavo Carneiro, Anders P. Eriksson, Ross Crawford, Aaron McFadyen
2021	J	`jnl`	Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. CoRR Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2021	A*	`conf`	Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. ICCV Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2020	—	`conf`	A Hierarchical Multi-task Approach to Gastrointestinal Image Analysis. ICPR Workshops (8) Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2020	—	`conf`	A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? SIBGRAPI Filipe R. Cordeiro, Gustavo Carneiro
2020	J	`jnl`	A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? CoRR Filipe R. Cordeiro, Gustavo Carneiro
2020	J	`jnl`	Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro
2020	—	`conf`	Augmentation Network for Generalised Zero-Shot Learning. ACCV (4) Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro
2020	J	`jnl`	Automatic Segmentation of Multiple Structures in Knee Arthroscopy Using Deep Learning. IEEE Access Yaqub Jonmohamadi, Yu Takeda, Fengbei Liu, Fumio Sasazawa, Gabriel Maicas, Ross Crawford, Jonathan Roberts, Ajay K. Pandey, Gustavo Carneiro
2020	J	`jnl`	Bayesian CNN for Segmentation Uncertainty Inference on 4D Ultrasound Images of the Femoral Cartilage for Guidance in Robotic Knee Arthroscopy. IEEE Access Maria Antico, Fumio Sasazawa, Yu Takeda, Anjali Tumkur Jaiprakash, Marie-Luise Wille, Ajay K. Pandey, Ross Crawford, Gustavo Carneiro, Davide Fontanarosa
2020	B	`conf`	Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. ICPR Álvaro R. Ferreira, Gustavo Henrique de Rosa, João P. Papa, Gustavo Carneiro, Fábio Augusto Faria
2020	A	`conf`	Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. BMVC Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do
2020	J	`jnl`	Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. CoRR Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do
2020	J	`jnl`	Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy. Medical Image Anal. Gustavo Carneiro, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Alastair D. Burt
2020	J	`jnl`	Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract). CoRR Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro
2020	—	`conf`	Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. ICPR Workshops (1) Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester
2020	J	`jnl`	EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. CoRR Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2020	—	`conf`	Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. MICCAI (6) Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2020	J	`jnl`	Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. CoRR Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2020	—	`conf`	Few-Shot Microscopy Image Cell Segmentation. ECML/PKDD (5) Youssef Dawoud, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis
2020	J	`jnl`	Few-Shot Microscopy Image Cell Segmentation. CoRR Youssef Dawoud, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis
2020	Misc	`conf`	Generalised Zero-shot Learning with Multi-modal Embedding Spaces. DICTA Rafael Felix, Michele Sasdelli, Ben Harwood, Gustavo Carneiro
2020	—	`conf`	Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. CHIL Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré
2020	J	`jnl`	One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization. IEEE Trans. Pattern Anal. Mach. Intell. Jacinto C. Nascimento, Gustavo Carneiro
2020	J	`jnl`	PAC-Bayesian Meta-learning with Implicit Prior. CoRR Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2020	—	`conf`	Photoshopping Colonoscopy Video Frames. ISBI Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2020	A	`conf`	Probabilistic Object Detection: Definition and Evaluation. WACV David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf
2020	—	`conf`	Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification. MICCAI (6) Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
2020	J	`jnl`	Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification. CoRR Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro
2020	J	`jnl`	Saliency Improvement in Feature-Poor Surgical Environments Using Local Laplacian of Specified Histograms. IEEE Access Artur Banach, Mario Strydom, Anjali Tumkur Jaiprakash, Gustavo Carneiro, Cameron Brown, Ross Crawford, Aaron McFadyen
2020	A*	`conf`	Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume. CVPR Adrian Johnston, Gustavo Carneiro
2020	—	`conf`	Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy. MICCAI (1) Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, Gustavo Carneiro
2020	J	`jnl`	Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy. CoRR Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, Gustavo Carneiro
2020	J	`jnl`	Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume. CoRR Adrian Johnston, Gustavo Carneiro
2020	J	`jnl`	Semantics for Robotic Mapping, Perception and Interaction: A Survey. Found. Trends Robotics Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford
2020	—	`conf`	Semi-Supervised Multi-Domain Multi-Task Training for Metastatic Colon Lymph Node Diagnosis from Abdominal CT. ISBI Saskia Glaser, Gabriel Maicas, Sergei Bedrikovetski, Tarik Sammour, Gustavo Carneiro
2020	J	`jnl`	Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images. Medical Image Anal. Matteo Dunnhofer, Maria Antico, Fumio Sasazawa, Yu Takeda, Saskia Camps, Niki Martinel, Christian Micheloni, Gustavo Carneiro, Davide Fontanarosa
2020	J	`jnl`	Special Issue on Deep Learning for Robotic Vision. Int. J. Comput. Vis. Anelia Angelova, Gustavo Carneiro, Niko Sünderhauf, Jürgen Leitner
2020	J	`jnl`	Special issue: 4th MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu
2020	A	`conf`	Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. WACV Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2020	—	`conf`	Unsupervised Task Design to Meta-Train Medical Image Classifiers. ISBI Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro
2020	—	`conf`	Why are Generative Adversarial Networks so Fascinating and Annoying? SIBGRAPI Fábio Augusto Faria, Gustavo Carneiro
2019	A*	`conf`	A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CVPR Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro
2019	J	`jnl`	A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CoRR Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro
2019	J	`jnl`	A probabilistic challenge for object detection. Nat. Mach. Intell. Niko Sünderhauf, Feras Dayoub, David Hall, John Skinner, Haoyang Zhang, Gustavo Carneiro, Peter Corke
2019	A*	`conf`	Bayesian Generative Active Deep Learning. ICML Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro
2019	J	`jnl`	Bayesian Generative Active Deep Learning. CoRR Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro
2019	—	`ed.`	Computer Vision - ACCV 2018 Workshops - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers ACCV Workshops Gustavo Carneiro, Shaodi You
2019	—	`book`	Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Le Lu, Xiaosong Wang, Gustavo Carneiro, Lin Yang
2019	—	`ch.`	Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro
2019	J	`jnl`	Editorial. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis
2019	—	`conf`	End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging. ISBI Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro
2019	J	`jnl`	Few-Shot Meta-Denoising. CoRR Leslie Casas, Gustavo Carneiro, Nassir Navab, Vasileios Belagiannis
2019	Misc	`conf`	Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. DICTA Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro
2019	J	`jnl`	Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. CoRR Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro
2019	J	`jnl`	Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces. CoRR Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro
2019	J	`jnl`	Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. CoRR Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré
2019	—	`conf`	Model Agnostic Saliency For Weakly Supervised Lesion Detection From Breast DCE-MRI. ISBI Gabriel Maicas, Gerard Snaauw, Andrew P. Bradley, Ian D. Reid, Gustavo Carneiro
2019	J	`jnl`	Multi-modal Ensemble Classification for Generalized Zero Shot Learning. CoRR Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro
2019	—	`conf`	One-Stage Five-Class Polyp Detection and Classification. ISBI Yu Tian, Leonardo Z. C. T. Pu, Rajvinder Singh, Alastair D. Burt, Gustavo Carneiro
2019	J	`jnl`	Photoshopping Colonoscopy Video Frames. CoRR Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Z. C. T. Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2019	J	`jnl`	Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. Medical Image Anal. Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro
2019	—	`conf`	Producing Radiologist-Quality Reports for Interpretable Deep Learning. ISBI William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Lyle J. Palmer, Andrew P. Bradley
2019	J	`jnl`	Semi-supervised Multi-domain Multi-task Training for Metastatic Colon Lymph Node Diagnosis From Abdominal CT. CoRR Saskia Glaser, Gabriel Maicas, Sergei Bedrikovetski, Tarik Sammour, Gustavo Carneiro
2019	Misc	`conf`	Single View 3D Point Cloud Reconstruction using Novel View Synthesis and Self-Supervised Depth Estimation. DICTA Adrian Johnston, Gustavo Carneiro
2019	J	`jnl`	Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. CoRR Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2019	J	`jnl`	Unsupervised Task Design to Meta-Train Medical Image Classifiers. CoRR Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro
2018	J	`jnl`	1st MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis
2018	J	`jnl`	Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks. CoRR Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro
2018	—	`conf`	Bayesian Semantic Instance Segmentation in Open Set World. ECCV (10) Trung Pham, B. G. Vijay Kumar, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid
2018	J	`jnl`	Bayesian Semantic Instance Segmentation in Open Set World. CoRR Trung Pham, Vijay Kumar B. G, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid
2018	—	`ed.`	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 DLMIA/ML-CDS@MICCAI Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi
2018	J	`jnl`	End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging. CoRR Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro
2018	—	`ed.`	Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings RAMBO+BIA+TIA@MICCAI Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne L. Martel, Lena Maier-Hein, Kanwal K. Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga
2018	J	`jnl`	Model Agnostic Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI. CoRR Gabriel Maicas, Gerard Snaauw, Andrew P. Bradley, Ian D. Reid, Gustavo Carneiro
2018	—	`conf`	Multi-modal Cycle-Consistent Generalized Zero-Shot Learning. ECCV (6) Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro
2018	J	`jnl`	Multi-modal Cycle-consistent Generalized Zero-Shot Learning. CoRR Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro
2018	J	`jnl`	Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI. CoRR Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro
2018	J	`jnl`	Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation. CoRR David Hall, Feras Dayoub, John Skinner, Peter Corke, Gustavo Carneiro, Niko Sünderhauf
2018	J	`jnl`	Producing radiologist-quality reports for interpretable artificial intelligence. CoRR William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer
2018	—	`conf`	Training Medical Image Analysis Systems like Radiologists. MICCAI (1) Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro
2018	J	`jnl`	Training Medical Image Analysis Systems like Radiologists. CoRR Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro
2017	—	`conf`	A Bayesian Data Augmentation Approach for Learning Deep Models. NIPS Toan Tran, Trung Pham, Gustavo Carneiro, Lyle J. Palmer, Ian D. Reid
2017	J	`jnl`	A Bayesian Data Augmentation Approach for Learning Deep Models. CoRR Toan Tran, Trung Pham, Gustavo Carneiro, Lyle J. Palmer, Ian D. Reid
2017	J	`jnl`	A deep convolutional neural network module that promotes competition of multiple-size filters. Pattern Recognit. Zhibin Liao, Gustavo Carneiro
2017	J	`jnl`	A deep learning approach for the analysis of masses in mammograms with minimal user intervention. Medical Image Anal. Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
2017	—	`conf`	Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. ISBI Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer
2017	J	`jnl`	Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning. IEEE Trans. Medical Imaging Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley
2017	J	`jnl`	Automatic Quantification of Tumour Hypoxia From Multi-Modal Microscopy Images Using Weakly-Supervised Learning Methods. IEEE Trans. Medical Imaging Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab
2017	—	`ch.`	Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms. Deep Learning and Convolutional Neural Networks for Medical Image Computing Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
2017	J	`jnl`	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. Tuan Anh Ngo, Zhi Lu, Gustavo Carneiro
2017	—	`ch.`	Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions1. Deep Learning for Medical Image Analysis Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley
2017	—	`book`	Deep Learning and Convolutional Neural Networks for Medical Image Computing - Precision Medicine, High Performance and Large-Scale Datasets Deep Learning and Convolutional Neural Networks for Medical Image Computing Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang
2017	—	`ed.`	Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings DLMIA/ML-CDS@MICCAI M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu
2017	J	`jnl`	Deep Learning on Sparse Manifolds for Faster Object Segmentation. IEEE Trans. Image Process. Jacinto C. Nascimento, Gustavo Carneiro
2017	—	`conf`	Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI. MICCAI (3) Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid
2017	J	`jnl`	Detecting hip fractures with radiologist-level performance using deep neural networks. CoRR William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer
2017	J	`jnl`	Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells. IEEE J. Biomed. Health Informatics Zhi Lu, Gustavo Carneiro, Andrew P. Bradley, Daniela Ushizima, Masoud S. Nosrati, Andrea G. C. Bianchi, Cláudia M. Carneiro, Ghassan Hamarneh
2017	—	`ch.`	Fully Automated Segmentation Using Distance Regularised Level Set and Deep-Structured Learning and Inference. Deep Learning and Convolutional Neural Networks for Medical Image Computing Tuan Anh Ngo, Gustavo Carneiro
2017	—	`conf`	Fully automated classification of mammograms using deep residual neural networks. ISBI Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
2017	—	`conf`	Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior. ISBI Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley
2017	J	`jnl`	Improving the performance of pedestrian detectors using convolutional learning. Pattern Recognit. David Ribeiro, Jacinto C. Nascimento, Alexandre Bernardino, Gustavo Carneiro
2017	—	`ed.`	Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings CVII-STENT/LABELS@MICCAI M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro
2017	B	`conf`	Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features. ICIP Jaime S. Cardoso, Nuno Marques, Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
2017	Misc	`conf`	Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection. IbPRIA David Ribeiro, Gustavo Carneiro, Jacinto C. Nascimento, Alexandre Bernardino
2017	Misc	`conf`	Region of Interest Autoencoders with an Application to Pedestrian Detection. DICTA Jerome Williams, Gustavo Carneiro, David Suter
2017	—	`ch.`	Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis. Deep Learning and Convolutional Neural Networks for Medical Image Computing Gustavo Carneiro, Yefeng Zheng, Fuyong Xing, Lin Yang
2017	—	`conf`	Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image. ICCV Workshops Adrian Johnston, Ravi Garg, Gustavo Carneiro, Ian D. Reid
2017	A*	`conf`	Smart Mining for Deep Metric Learning. ICCV Ben Harwood, Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid, Tom Drummond
2017	J	`jnl`	Smart Mining for Deep Metric Learning. CoRR B. G. Vijay Kumar, Ben Harwood, Gustavo Carneiro, Ian D. Reid, Tom Drummond
2016	J	`jnl`	Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography. CoRR Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer
2016	J	`jnl`	Automated Detection of Individual Micro-calcifications from Mammograms using a Multi-stage Cascade Approach. CoRR Zhi Lu, Gustavo Carneiro, Neeraj Dhungel, Andrew P. Bradley
2016	B	`conf`	CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees. ITS Hope Lee, Amali Weerasinghe, Jayden Barnes, Luke Oakden-Rayner, William Gale, Gustavo Carneiro
2016	—	`ed.`	Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings LABELS/DLMIA@MICCAI Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew P. Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise
2016	A*	`conf`	Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions. CVPR Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid
2016	—	`conf`	Multi-atlas segmentation using manifold learning with deep belief networks. ISBI Jacinto C. Nascimento, Gustavo Carneiro
2016	A	`conf`	On the importance of normalisation layers in deep learning with piecewise linear activation units. WACV Zhibin Liao, Gustavo Carneiro
2016	—	`conf`	The Automated Learning of Deep Features for Breast Mass Classification from Mammograms. MICCAI (2) Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
2016	—	`conf`	Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. ECCV (8) Ravi Garg, B. G. Vijay Kumar, Gustavo Carneiro, Ian D. Reid
2015	Misc	`conf`	3-D Modeling from Concept Sketches of Human Characters with Minimal User Interaction. DICTA Adrian Johnston, Gustavo Carneiro, Ren Ding, Luiz Velho
2015	J	`jnl`	An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells. IEEE Trans. Image Process. Zhi Lu, Gustavo Carneiro, Andrew P. Bradley
2015	Misc	`conf`	Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests. DICTA Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
2015	B	`conf`	Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images. ICIP Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab
2015	J	`jnl`	Competitive Multi-scale Convolution. CoRR Zhibin Liao, Gustavo Carneiro
2015	—	`conf`	Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms. MICCAI (1) Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
2015	B	`conf`	Deep structured learning for mass segmentation from mammograms. ICIP Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
2015	—	`conf`	Flexible and Latent Structured Output Learning - Application to Histology. MLMI Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab
2015	J	`jnl`	Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions. CoRR B. G. Vijay Kumar, Gustavo Carneiro, Ian D. Reid
2015	B	`conf`	Lung segmentation in chest radiographs using distance regularized level set and deep-structured learning and inference. ICIP Tuan Anh Ngo, Gustavo Carneiro
2015	J	`jnl`	On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units. CoRR Zhibin Liao, Gustavo Carneiro
2015	A*	`conf`	Robust Optimization for Deep Regression. ICCV Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, Nassir Navab
2015	J	`jnl`	Robust Optimization for Deep Regression. CoRR Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, Nassir Navab
2015	B	`conf`	The use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification. ICIP Zhibin Liao, Gustavo Carneiro
2015	B	`conf`	Towards reduction of the training and search running time complexities for non-rigid object segmentation. ICIP Jacinto C. Nascimento, Gustavo Carneiro
2015	—	`conf`	Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammograms. ISBI Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
2015	—	`conf`	Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models. MICCAI (3) Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley
2015	A*	`conf`	Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions. ICCV Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab
2014	—	`conf`	Artistic Image Analysis Using the Composition of Human Figures. ECCV Workshops (1) Qian Chen, Gustavo Carneiro
2014	J	`jnl`	Deep Structured learning for mass segmentation from Mammograms. CoRR Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
2014	A*	`conf`	Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-Structured Inference. CVPR Tuan Anh Ngo, Gustavo Carneiro
2014	J	`jnl`	Management driven hybrid multicast framework for content aware networks. IEEE Commun. Mag. Radu-Dinel Iorga, Eugen Borcoci, Radu Miruta, António Pinto, Gustavo Carneiro, Tânia Calçada
2014	A*	`conf`	Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks. CVPR Jacinto C. Nascimento, Gustavo Carneiro
2013	J	`jnl`	Artistic Image Analysis Using Graph-Based Learning Approaches. IEEE Trans. Image Process. Gustavo Carneiro
2013	—	`conf`	Automated Nucleus and Cytoplasm Segmentation of Overlapping Cervical Cells. MICCAI (1) Zhi Lu, Gustavo Carneiro, Andrew P. Bradley
2013	Misc	`conf`	Closed-Loop Deep Vision. DICTA Gustavo Carneiro, Zhibin Liao, Tat-Jun Chin
2013	J	`jnl`	Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data. IEEE Trans. Pattern Anal. Mach. Intell. Gustavo Carneiro, Jacinto C. Nascimento
2013	B	`conf`	Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imagery. ICIP Jacinto C. Nascimento, Gustavo Carneiro
2013	—	`conf`	Fuzzy clustering based encoding for Visual Object Classification. IFSA/NAFIPS Danilo Dell'Agnello, Gustavo Carneiro, Tat-Jun Chin, Giovanna Castellano, Anna Maria Fanelli
2013	B	`conf`	Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks. ICIP Tuan Anh Ngo, Gustavo Carneiro
2013	Misc	`conf`	Point Correspondence Validation under Unknown Radial Distortion. DICTA William X. Liu, Tat-Jun Chin, Gustavo Carneiro, David Suter
2013	A*	`conf`	Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds. CVPR Jacinto C. Nascimento, Gustavo Carneiro
2012	J	`jnl`	An ns-3 architecture for simulating joint radio resource management strategies in interconnected WLAN and UMTS networks. Trans. Emerg. Telecommun. Technol. Hermes Irineu Del Monego, Gustavo Carneiro, José Manuel Oliveira, Manuel Ricardo
2012	—	`conf`	Artistic Image Classification: An Analysis on the PRINTART Database. ECCV (4) Gustavo Carneiro, Nuno Pinho da Silva, Alessio Del Bue, João Paulo Costeira
2012	—	`conf`	In Defence of RANSAC for Outlier Rejection in Deformable Registration. ECCV (4) Quoc-Huy Tran, Tat-Jun Chin, Gustavo Carneiro, Michael S. Brown, David Suter
2012	B	`conf`	On-line re-training and segmentation with reduction of the training set: Application to the left ventricle detection in ultrasound imaging. ICIP Jacinto C. Nascimento, Gustavo Carneiro
2012	J	`jnl`	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. Gustavo Carneiro, Jacinto C. Nascimento, António Freitas
2012	A*	`conf`	The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound. CVPR Gustavo Carneiro, Jacinto C. Nascimento
2012	J	`jnl`	Transparent and scalable terminal mobility for vehicular networks. Comput. Networks Gustavo Carneiro, Pedro Fortuna, Jaime Dias, Manuel Ricardo
2011	—	`conf`	Explaining scene composition using kinematic chains of humans: application to Portuguese tiles history. Computer Vision and Image Analysis of Art Nuno Pinho da Silva, Manuel Marques, Gustavo Carneiro, João Paulo Costeira
2011	J	`jnl`	Fast prototyping of network protocols through ns-3 simulation model reuse. Simul. Model. Pract. Theory Gustavo Carneiro, Helder Fontes, Manuel Ricardo
2011	B	`conf`	Graph-based methods for the automatic annotation and retrieval of art prints. ICMR Gustavo Carneiro
2011	A*	`conf`	Incremental on-line semi-supervised learning for segmenting the left ventricle of the heart from ultrasound data. ICCV Gustavo Carneiro, Jacinto C. Nascimento
2011	B	`conf`	Reducing the training set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images. ICIP Jacinto C. Nascimento, Gustavo Carneiro
2011	—	`conf`	Semi-supervised self-trainingmodel for the segmentationof the left ventricle of the heart from ultrasound data. ISBI Gustavo Carneiro, Jacinto C. Nascimento, António Freitas
2011	—	`conf`	The automatic annotation and retrieval of digital images of prints and tile panels using network link analysis algorithms. Computer Vision and Image Analysis of Art Gustavo Carneiro, João Paulo Costeira
2011	—	`conf`	Time and order estimation of paintings based on visual features and expert priors. Computer Vision and Image Analysis of Art Ricardo Silveira Cabral, João Paulo Costeira, Fernando De la Torre, Alexandre Bernardino, Gustavo Carneiro
2010	B	`conf`	A Comparative Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors. ICPR Gustavo Carneiro
2010	B	`conf`	Efficient search methods and deep belief networks with particle filtering for non-rigid tracking: Application to lip tracking. ICIP Jacinto C. Nascimento, Gustavo Carneiro
2010	A*	`conf`	Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures. CVPR Gustavo Carneiro, Jacinto C. Nascimento
2010	—	`conf`	Robust left ventricle segmentation from ultrasound data using deep neural networks and efficient search methods. ISBI Gustavo Carneiro, Jacinto C. Nascimento, António Freitas
2010	B	`conf`	The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking. ICPR Gustavo Carneiro, Jacinto C. Nascimento
2010	A*	`conf`	The automatic design of feature spaces for local image descriptors using an ensemble of non-linear feature extractors. CVPR Gustavo Carneiro
2010	—	`conf`	WiMetroNet A Scalable Wireless Network for Metropolitan Transports. AICT Manuel Ricardo, Gustavo Carneiro, Pedro Fortuna, Filipe Abrantes, Jaime Dias
2009	—	`conf`	Fast and Robust 3-D MRI Brain Structure Segmentation. MICCAI (1) Michael Wels, Yefeng Zheng, Gustavo Carneiro, Martin Huber, Joachim Hornegger, Dorin Comaniciu
2009	—	`conf`	FlowMonitor: a network monitoring framework for the network simulator 3 (NS-3). VALUETOOLS Gustavo Carneiro, Pedro Fortuna, Manuel Ricardo
2009	J	`jnl`	Minimum Bayes error features for visual recognition. Image Vis. Comput. Gustavo Carneiro, Nuno Vasconcelos
2009	J	`jnl`	The quantitative characterization of the distinctiveness and robustness of local image descriptors. Image Vis. Comput. Gustavo Carneiro, Allan D. Jepson
2008	—	`conf`	A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI. MICCAI (1) Michael Wels, Gustavo Carneiro, Alexander Aplas, Martin Huber, Joachim Hornegger, Dorin Comaniciu
2008	J	`jnl`	Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree. IEEE Trans. Medical Imaging Gustavo Carneiro, Bogdan Georgescu, Sara Good, Dorin Comaniciu
2008	A*	`conf`	Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling. CVPR Gustavo Carneiro, Fernando Amat, Bogdan Georgescu, Sara Good, Dorin Comaniciu
2007	A*	`conf`	A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure. ICCV Shaohua Kevin Zhou, Feng Guo, Gustavo Carneiro, John Jackson, M. Brendel, Costas Simopoulos, Joanne Otsuki, Dorin Comaniciu
2007	—	`conf`	Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree. MICCAI (2) Gustavo Carneiro, Bogdan Georgescu, Sara Good, Dorin Comaniciu
2007	J	`jnl`	Flexible Spatial Configuration of Local Image Features. IEEE Trans. Pattern Anal. Mach. Intell. Gustavo Carneiro, Allan D. Jepson
2007	—	`conf`	Integration of mobility and qos in 4g scenarios. Q2SWinet Vitor Jesus, Susana Sargento, Miguel Almeida, Daniel Corujo, Rui L. Aguiar, Janusz Gozdecki, Gustavo Carneiro, Albert Banchs, Pablo Yáñez-Mingot
2007	J	`jnl`	QoS abstraction layer in 4G access networks. Telecommun. Syst. Gustavo Carneiro, Manuel Ricardo
2007	J	`jnl`	Supervised Learning of Semantic Classes for Image Annotation and Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno, Nuno Vasconcelos
2006	—	`conf`	Sparse Flexible Models of Local Features. ECCV (3) Gustavo Carneiro, David Lowe
2006	—	`conf`	Weakly Supervised Top-down Image Segmentation. CVPR (1) Manuela Vasconcelos, Nuno Vasconcelos, Gustavo Carneiro
2005	A*	`conf`	A database centric view of semantic image annotation and retrieval. SIGIR Gustavo Carneiro, Nuno Vasconcelos
2005	—	`conf`	Formulating Semantic Image Annotation as a Supervised Learning Problem. CVPR (2) Gustavo Carneiro, Nuno Vasconcelos
2005	—	`conf`	Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction. CRV Gustavo Carneiro, Nuno Vasconcelos
2005	B	`conf`	Robust header compression in 4G networks with QoS support. PIMRC Pedro Fortuna, Gustavo Carneiro, Manuel Ricardo
2005	—	`conf`	The Distinctiveness, Detectability, and Robustness of Local Image Features. CVPR (2) Gustavo Carneiro, Allan D. Jepson
2004	J	`jnl`	Cross-layer design in 4G wireless terminals. IEEE Wirel. Commun. Gustavo Carneiro, José Ruela, Manuel Ricardo
2004	—	`conf`	Flexible Spatial Models for Grouping Local Image Features. CVPR (2) Gustavo Carneiro, Allan D. Jepson
2004	—	`conf`	Pruning Local Feature Correspondences Using Shape Context. ICPR (3) Gustavo Carneiro, Allan D. Jepson
2003	—	`conf`	Multi-scale Phase-based Local Features. CVPR (1) Gustavo Carneiro, Allan D. Jepson
2002	—	`conf`	Phase-Based Local Features. ECCV (1) Gustavo Carneiro, Allan D. Jepson
2002	B	`conf`	Support of IP QoS over UMTS networks. PIMRC Manuel Ricardo, Jaime Dias, Gustavo Carneiro, José Ruela
2002	—	`conf`	What Is the Role of Independence for Visual Recognition? ECCV (1) Nuno Vasconcelos, Gustavo Carneiro