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2020 – today
- 2024
[j4]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: 103192 (2024)- [j3]Chong Wang, Yuanhong Chen, Fengbei Liu, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, 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): 392-404 (2024) - [c15]Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Helen Frazer, Gustavo Carneiro:
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation. CVPR 2024: 26487-26497 - [i23]Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu:
Knockout: A simple way to handle missing inputs. CoRR abs/2405.20448 (2024) - [i22]Heejong Kim, Léo Milecki, Mina C. Moghadam, Fengbei Liu, Minh Nguyen, Eric Qiu, Abhishek Thanki, Mert R. Sabuncu:
Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models. CoRR abs/2409.08143 (2024) - 2023
- [j2]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: 102930 (2023) - [c14]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: 2062-2072 - [c13]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: 21227-21238 - [c12]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: 11-21 - [i21]Fengbei Liu, Yuanhong Chen, Chong Wang, Yu Tian, Gustavo Carneiro:
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning. CoRR abs/2301.01143 (2023) - [i20]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. CoRR abs/2301.04011 (2023) - [i19]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. CoRR abs/2301.13418 (2023) - [i18]Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Gustavo Carneiro:
A Closer Look at Audio-Visual Semantic Segmentation. CoRR abs/2304.02970 (2023) - [i17]Fengbei Liu, Yuanhong Chen, Chong Wang, Yuyuan Liu, Gustavo Carneiro:
Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior. CoRR abs/2308.01184 (2023) - [i16]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 abs/2312.00092 (2023) - 2022
- [c11]Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro:
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CVPR 2022: 4248-4257 - [c10]Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro:
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. CVPR 2022: 20665-20674 - [c9]Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro:
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. ECCV (39) 2022: 246-263 - [c8]Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. MICCAI (3) 2022: 3-13 - [c7]Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro:
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. MICCAI (3) 2022: 14-24 - [c6]Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro:
Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. MICCAI (3) 2022: 88-98 - [c5]Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro:
NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. MICCAI (3) 2022: 544-553 - [i15]Yuanhong Chen, Fengbei Liu, Yu Tian, Yuyuan Liu, Gustavo Carneiro:
Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification. CoRR abs/2203.01937 (2022) - [i14]Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. CoRR abs/2203.11725 (2022) - [i13]Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan W. Verjans, Gustavo Carneiro:
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. CoRR abs/2203.12121 (2022) - [i12]Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro:
Translation Consistent Semi-supervised Segmentation for 3D Medical Images. CoRR abs/2203.14523 (2022) - [i11]Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. CoRR abs/2209.10478 (2022) - [i10]Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro:
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. CoRR abs/2209.12420 (2022) - 2021
- [c4]Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro:
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. MICCAI (5) 2021: 128-140 - [c3]Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey:
3D Semantic Mapping from Arthroscopy Using Out-of-Distribution Pose and Depth and In-Distribution Segmentation Training. MICCAI (2) 2021: 383-393 - [c2]Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. MLMI@MICCAI 2021: 426-436 - [i9]Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro:
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. CoRR abs/2103.03423 (2021) - [i8]Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification. CoRR abs/2103.03629 (2021) - [i7]Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Noisy Label Learning for Large-scale Medical Image Classification. CoRR abs/2103.04053 (2021) - [i6]Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey:
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training. CoRR abs/2106.05525 (2021) - [i5]Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro:
Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. CoRR abs/2109.01303 (2021) - [i4]Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro:
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. CoRR abs/2111.12264 (2021) - [i3]Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro:
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CoRR abs/2111.12903 (2021) - [i2]Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro:
ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification. CoRR abs/2111.12918 (2021) - 2020
- [j1]Yaqub Jonmohamadi, Yu Takeda, Fengbei Liu, Fumio Sasazawa, Gabriel Maicas, Ross Crawford, Jonathan Roberts, Ajay K. Pandey, Gustavo Carneiro:
Automatic Segmentation of Multiple Structures in Knee Arthroscopy Using Deep Learning. IEEE Access 8: 51853-51861 (2020) - [c1]Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, Gustavo Carneiro:
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy. MICCAI (1) 2020: 594-603 - [i1]Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, Gustavo Carneiro:
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy. CoRR abs/2007.02361 (2020)
Coauthor Index
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