Selected Publications
2024
BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations
Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Yu Tian, Fengbei Liu, Helen Frazer, Davis J McCarthy, Gustavo Carneiro.
Medical Image Analysis (MedIA), 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.
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
Partial Label Supervision for Agnostic Generative Noisy Label Learning
Fengbei Liu, Chong Wang, Yuanhong Chen, Yuyuan Liu, Gustavo Carneiro.
Arxiv, 2024
2023
An Interpretable and Accurate Deep-learning Diagnosis Framework Modelled with Fully and Semi-supervised Reciprocal Learning
Chong Wang, Yuanhong Chen, Fengbei Liu, Michael Elliott, Chun Fung Kwok, Carlos Peña-Solorzano, Helen Frazer, Davis James McCarthy, Gustavo Carneiro.
IEEE Transactions on Medical Imaging (IEEE TMI), 2023
Learning Support and Trivial Prototypes for Interpretable Image Classification [Code]
Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis McCarthy, Helen Frazer, Gustavo Carneiro.
IEEE/CVF International Conference on Computer Vision (ICCV), 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.
IEEE/CVF International Conference on Computer Vision (ICCV), 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.
International Workshop on Machine Learning in Medical Imaging (MLMI), 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification
Chong Wang, Yuanhong Chen, Fengbei Liu, Davis J McCarthy, Helen Frazer, Gustavo Carneiro.
Arxiv, 2023
2022
BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images [Code]
Chong Wang, Zhiming Cui, Junwei Yang, Miaofei Han, Gustavo Carneiro, Dinggang Shen.
IEEE Transactions on Medical Imaging (IEEE TMI), 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.
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI, Student Travel Award), 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.
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 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.
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 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.
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
ADMANI: Annotated Digital Mammograms and Associated Non-Image Datasets
Helen ML Frazer, Jennifer SN Tang, Michael S Elliott, Katrina M Kunicki, Brendan Hill, Ravishankar Karthik, Chun Fung Kwok, Carlos A Peña-Solorzano, Yuanhong Chen, Chong Wang, Osamah Al-Qershi, Samantha K Fox, Shuai Li, Enes Makalic, Tuong L Nguyen, Daniel F Schmidt, Prabhathi Basnayake Ralalage, Jocelyn F Lippey, Peter Brotchie, John L Hopper, Gustavo Carneiro, Davis J McCarthy.
Radiology: Artificial Intelligence (Radiol Artif Intell), 2022
Before 2022
Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification [Code]
Leyuan Fang*, Chong Wang*, Shutao Li, Hossein Rabbani, Xiangdong Chen, Zhimin Liu. (* indicates equal contribution)
IEEE Transactions on Medical Imaging (IEEE TMI), 2019
Automatic Classification of Volumetric Optical Coherence Tomography Images via Recurrent Neural Network
Chong Wang, Yuxuan Jin, Xiangdong Chen, Zhimin Liu.
Sensing and Imaging (Sens. Imaging), 2020
Automatic Classification of Retinal Three-dimensional Optical Coherence Tomography Images Using Principal Component Analysis Network with Composite Kernels
Leyuan Fang, Chong Wang, Shutao Li, Jun Yan, Xiangdong Chen, Hossein Rabbani.
Journal of Biomedical Optics (J. Biomed. Opt.), 2017
Automatic Segmentation of Nine Retinal Layer Boundaries in OCT Images of Non-exudative AMD Patients Using Deep Learning and Graph Search
Leyuan Fang, David Cunefare, Chong Wang, Robyn H Guymer, Shutao Li, Sina Farsiu.
Biomedical Optics Express (Biomed. Opt. Express, ESI Highly Cited Paper), 2017