Fengbei Liu

According to our database, Fengbei Liu authored at least 38 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level Grounding.

Yuyuan Liu, Yiping Ji, Anjie Le, Jiayuan Zhu, Jiazhen Pan, Can Peng, Jiajun Deng, Fengbei Liu, Junde Wu

CoRR, May, 2026

HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis.

Fengbei Liu, Sunwoo Kwak, Hao Phung, Nusrat Binta Nizam, Ilan Richter, Nir Uriel, Hadar Averbuch-Elor, Daborah Estrin, Mert R. Sabuncu

CoRR, April, 2026

2025

BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation.

Rachit Saluja, Asli Cihangir, Ruining Deng, Johannes C. Paetzold, Fengbei Liu, Mert R. Sabuncu

CoRR, November, 2025

Progressive Mining and Dynamic Distillation of Hierarchical Prototypes for Disease Classification and Localisation.

Chong Wang, Fengbei Liu, Yuanhong Chen, Chun Fung Kwok, Michael Elliott, Carlos A. Peña-Solórzano, Davis James McCarthy, Helen Frazer, Gustavo Carneiro

IEEE J. Biomed. Health Informatics, August, 2025

Mixture of Gaussian-Distributed Prototypes With Generative Modelling for Interpretable and Trustworthy Image Recognition.

Chong Wang, Yuanhong Chen, Fengbei Liu, Yuyuan Liu, Davis James McCarthy, Helen Frazer, Gustavo Carneiro

IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

Cross- and Intra-Image Prototypical Learning for Multi-Label Disease Diagnosis and Interpretation.

Chong Wang, Fengbei Liu, Yuanhong Chen, Helen Frazer, Gustavo Carneiro

IEEE Trans. Medical Imaging, June, 2025

Translation Consistent Semi-Supervised Segmentation for 3D Medical Images.

Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro

IEEE Trans. Medical Imaging, February, 2025

Knockout: A simple way to handle missing inputs.

Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu

Trans. Mach. Learn. Res., 2025

2024

An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning.

Chong Wang, Yuanhong Chen, Fengbei Liu, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, Helen Frazer, Davis James McCarthy, Gustavo Carneiro

IEEE Trans. Medical Imaging, January, 2024

BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations.

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

Medical Image Anal., 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, Eric Qiu, Abhishek Thanki, Mert R. Sabuncu

CoRR, 2024

Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation.

Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Helen Frazer, Gustavo Carneiro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

Medical Image Anal., December, 2023

Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification.

Chong Wang, Yuanhong Chen, Fengbei Liu, Davis James McCarthy, Helen Frazer, Gustavo Carneiro

CoRR, 2023

Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior.

Fengbei Liu, Yuanhong Chen, Chong Wang, Yuyuan Liu, Gustavo Carneiro

CoRR, 2023

A Closer Look at Audio-Visual Semantic Segmentation.

Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Gustavo Carneiro

CoRR, 2023

Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning.

Fengbei Liu, Yuanhong Chen, Chong Wang, Yu Tian, Gustavo Carneiro

CoRR, 2023

Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder.

Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Learning Support and Trivial Prototypes for Interpretable Image Classification.

Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification.

Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.

Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro

CoRR, 2022

Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder.

Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

CoRR, 2022

Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification.

Yuanhong Chen, Fengbei Liu, Yu Tian, Yuyuan Liu, Gustavo Carneiro

CoRR, 2022

Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models.

Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.

Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification.

Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.

Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes.

Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation.

Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification.

Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro

CoRR, 2021

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

Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

CoRR, 2021

Noisy Label Learning for Large-scale Medical Image Classification.

Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro

CoRR, 2021

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

Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification.

Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 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, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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, Ajay K. Pandey, Gustavo Carneiro

IEEE Access, 2020

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

Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020