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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models. - Heejong Kim; Léo Milecki; Mina C. Moghadam; Fengbei Liu; Minh Nguyen 002; Eric Qiu; Abhishek Thanki; Mert R. Sabuncu (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)

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)

Knockout: A simple way to handle missing inputs. - Minh Nguyen 002; Batuhan K. Karaman; Heejong Kim; Alan Q. Wang 003; Fengbei Liu; Mert R. Sabuncu (Trans. Mach. Learn. Res., 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)

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)

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)