Chong Wang

Orcid: 0000-0003-0022-0217

Affiliations:
  • University of Adelaide, Australia


According to our database1, Chong Wang authored at least 22 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning.
IEEE Trans. Medical Imaging, January, 2024

BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations.
Medical Image Anal., 2024

Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation.
CoRR, 2024

Cephalometric Landmark Detection Across Ages with Prototypical Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

CPM: Class-Conditional Prompting Machine for Audio-Visual Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images.
IEEE Trans. Medical Imaging, April, 2023

Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification.
CoRR, 2023

Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior.
CoRR, 2023

A Closer Look at Audio-Visual Semantic Segmentation.
CoRR, 2023

Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning.
CoRR, 2023

Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Learning Support and Trivial Prototypes for Interpretable Image Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification.
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.
CoRR, 2022

Translation Consistent Semi-supervised Segmentation for 3D Medical Images.
CoRR, 2022

Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder.
CoRR, 2022

Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2019
Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification.
IEEE Trans. Medical Imaging, 2019


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