Fengbei Liu - RankMe

49 papers A* 5Journal 34Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation. CoRR Rachit Saluja, Asli Cihangir, Ruining Deng, Johannes C. Paetzold, Fengbei Liu, Mert R. Sabuncu
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`	Knockout: A simple way to handle missing inputs. Trans. Mach. Learn. Res. Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu
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	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	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
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	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`	Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models. CoRR Heejong Kim, Léo Milecki, Mina C. Moghadam, Fengbei Liu, Minh Nguyen, Eric Qiu, Abhishek Thanki, Mert R. Sabuncu
2024	J	`jnl`	Knockout: A simple way to handle missing inputs. CoRR Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu
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
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`	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	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`	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`	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	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	—	`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	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	—	`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	—	`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	—	`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`	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	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`	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	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	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	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	—	`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	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`	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
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	—	`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