Gustavo Carneiro

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 36

Top Topics

Unsupervised Anomaly Detection

Survival Prediction

Magnetic Resonance

Semantic Segmentation

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

Renato Hermoza, Jacinto C. Nascimento, Gustavo Carneiro
Weakly-supervised preclinical tumor localization associated with survival prediction from lung cancer screening Chest X-ray images. Comput. Medical Imaging Graph. 115 (2024)
Amir El-Ghoussani, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis
Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation. CoRR (2024)
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
BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations. Medical Image Anal. 96 (2024)
Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
MetaAug: Meta-Data Augmentation for Post-Training Quantization. CoRR (2024)
Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro
Learning to Complement and to Defer to Multiple Users. CoRR (2024)
Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
Frequency Attention for Knowledge Distillation. WACV (2024)
Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. CoRR (2024)
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
AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. IEEE Trans. Medical Imaging 43 (1) (2024)
Hu Wang, Congbo Ma, Yuyuan Liu, Yuanhong Chen, Yu Tian, Jodie Avery, Louise Hull, Gustavo Carneiro
Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities. CoRR (2024)
Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
Frequency Attention for Knowledge Distillation. CoRR (2024)
Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation. CoRR (2024)
Chong Wang, Yuanhong Chen, Fengbei Liu, Michael Elliott, Chun Fung Kwok, Carlos Pena-Solorzano, Helen Frazer, Davis James McCarthy, Gustavo Carneiro
An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning. IEEE Trans. Medical Imaging 43 (1) (2024)
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
Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. Medical Image Anal. 94 (2024)
Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. CoRR (2024)
David Butler, Hu Wang, Yuan Zhang, Minh-Son To, George Condous, Mathew Leonardi, Steven Knox, Jodie Avery, M. Louise Hull, Gustavo Carneiro
The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification. EMBC (2023)
Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification. ICCV (2023)
Hu Wang, Congbo Ma, Jianpeng Zhang, Yuan Zhang, Jodie Avery, Louise Hull, Gustavo Carneiro
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. MICCAI (4) (2023)
Chong Wang, Yuanhong Chen, Fengbei Liu, Davis James McCarthy, Helen Frazer, Gustavo Carneiro
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification. CoRR (2023)
Youssef Dawoud, Gustavo Carneiro, Vasileios Belagiannis
SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation. CoRR (2023)
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
Task Weighting in Meta-learning with Trajectory Optimisation. Trans. Mach. Learn. Res. 2023 (2023)
Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling. CVPR (2023)
Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling. CoRR (2023)
Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
Noisy-label Learning with Sample Selection based on Noise Rate Estimate. CoRR (2023)
Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M. Louise Hull, Gustavo Carneiro
Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. ISBI (2023)
Adrian Galdran, Johan W. Verjans, Gustavo Carneiro, Miguel Ángel González Ballester
Multi-Head Multi-Loss Model Calibration. MICCAI (3) (2023)
Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. CoRR (2023)
Van Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. NeurIPS (2023)
Youssef Dawoud, Gustavo Carneiro, Vasileios Belagiannis
SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation. ICCV (Workshops) (2023)
Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro
Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. MLMI@MICCAI (2) (2023)
Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. ICCV (2023)
Fengbei Liu, Yuanhong Chen, Chong Wang, Yuyuan Liu, Gustavo Carneiro
Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior. CoRR (2023)
Zheng Zhang, Kevin Wells, Gustavo Carneiro
Learning to Complement with Multiple Humans (LECOMH): Integrating Multi-rater and Noisy-Label Learning into Human-AI Collaboration. CoRR (2023)
Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
Learning Support and Trivial Prototypes for Interpretable Image Classification. ICCV (2023)
Chong Wang, Zhiming Cui, Junwei Yang, Miaofei Han, Gustavo Carneiro, Dinggang Shen
BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images. IEEE Trans. Medical Imaging 42 (4) (2023)
Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M. Louise Hull, Gustavo Carneiro
Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. CoRR (2023)
Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical Image Anal. 90 (2023)
Nuno Pinho da Silva, Manuel Marques, Gustavo Carneiro, João Paulo Costeira
Explaining scene composition using kinematic chains of humans: application to Portuguese tiles history. Computer Vision and Image Analysis of Art (2011)
Ricardo Silveira Cabral, João Paulo Costeira, Fernando De la Torre, Alexandre Bernardino, Gustavo Carneiro
Time and order estimation of paintings based on visual features and expert priors. Computer Vision and Image Analysis of Art (2011)
Gustavo Carneiro, João Paulo Costeira
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 (2011)