Chong Wang
Higher Degree by Research Candidate
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
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Journals
Year Citation 2024 Tian, Y., Pang, G., Liu, Y., Wang, C., Chen, Y., Liu, F., . . . Carneiro, G. (2024). Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14349 LNCS, 11-21.
Scopus12024 Wang, C., Chen, Y., Liu, F., Elliott, M., Kwok, C. F., Pena-Solorzano, C., . . . Carneiro, G. (2024). An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning. IEEE Transactions on Medical Imaging, 43(1), 392-404.
2023 Wang, C., Cui, Z., Yang, J., Han, M., Carneiro, G., & Shen, D. (2023). BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images. IEEE Transactions on Medical Imaging, 42(4), 1225-1236.
Scopus22023 Chen, Y., Liu, Y., Wang, C., Elliott, M., Kwok, C. F., Pena-Solorzano, C., . . . Carneiro, G. (2023). BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete
Annotations.2023 Frazer, H. M. L., Tang, J. S. N., Elliott, M. S., Kunicki, K. M., Hill, B., Karthik, R., . . . McCarthy, D. J. (2023). ADMANI: Annotated Digital Mammograms and Associated Non-Image Datasets. Radiology: Artificial Intelligence, 5(2), 1-7.
Scopus9 WoS3 Europe PMC82023 Chen, Y., Liu, Y., Wang, H., Liu, F., Wang, C., Frazer, H., & Carneiro, G. (2023). Unraveling Instance Associations: A Closer Look for Audio-Visual
Segmentation.2022 Liu, Y., Tian, Y., Wang, C., Chen, Y., Liu, F., Belagiannis, V., & Carneiro, G. (2022). Translation Consistent Semi-supervised Segmentation for 3D Medical
Images.2022 Chen, Y., Liu, F., Wang, H., Wang, C., Tian, Y., Liu, Y., & Carneiro, G. (2022). BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray
Classification.2020 Wang, C., Jin, Y., Chen, X., & Liu, Z. (2020). Automatic Classification of Volumetric Optical Coherence Tomography Images via Recurrent Neural Network. Sensing and Imaging, 21(1), 15 pages.
Scopus9 WoS52019 Fang, L., Wang, C., Li, S., Rabbani, H., Chen, X., & Liu, Z. (2019). Attention to lesion: Lesion-Aware convolutional neural network for retinal optical coherence tomography image classification. IEEE Transactions on Medical Imaging, 38(8), 1959-1970.
Scopus155 WoS105 Europe PMC312017 Fang, L., Cunefare, D., Wang, C., Guymer, R. H., Li, S., & Farsiu, S. (2017). Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search. BIOMEDICAL OPTICS EXPRESS, 8(5), 2732-2744.
WoS348 Europe PMC1862017 Fang, L., Wang, C., Li, S., Yan, J., Chen, X., & Rabbani, H. (2017). Automatic classification of retinal three-dimensional optical coherence tomography images using principal component analysis network with composite kernels. JOURNAL OF BIOMEDICAL OPTICS, 22(11), 10 pages.
WoS15 Europe PMC6 -
Conference Papers
Year Citation 2023 Wang, C., Liu, Y., Chen, Y., Liu, F., Tian, Y., McCarthy, D. J., . . . Carneiro, G. (2023). Learning Support and Trivial Prototypes for Interpretable Image
Classification.2023 Tian, Y., Pang, G., Liu, Y., Wang, C., Chen, Y., Liu, F., . . . Carneiro, G. (2023). Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder.. In X. Cao, X. Xu, I. Rekik, Z. Cui, & X. Ouyang (Eds.), MLMI@MICCAI (2) Vol. 14349 (pp. 11-21). Springer. 2022 Tian, Y., Pang, G., Liu, F., Liu, Y., Wang, C., Chen, Y., . . . Carneiro, G. (2022). Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.. In L. Wang, Q. Dou, P. T. Fletcher, S. Speidel, & S. Li (Eds.), MICCAI (3) Vol. 13433 (pp. 88-98). Springer. 2022 Tian, Y., Pang, G., Liu, F., Liu, Y., Wang, C., Chen, Y., . . . Carneiro, G. (2022). Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. In Proceedings of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), as published in Lecture Notes in Computer Science Vol. 13433 (pp. 88-98). Online: Springer Link.
Scopus4 WoS12022 Chen, Y., Wang, H., Wang, C., Tian, Y., Liu, F., Liu, Y., . . . Carneiro, G. (2022). Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13433 LNCS (pp. 3-13). Online: Springer.
Scopus2 WoS12022 Liu, F., Chen, Y., Tian, Y., Liu, Y., Wang, C., Belagiannis, V., & Carneiro, G. (2022). NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. In Proceedings of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), as published in Lecture Notes in Computer Science Vol. 13433 (pp. 544-553). Singapore: Springer.
Scopus22022 Wang, C., Chen, Y., Liu, Y., Tian, Y., Liu, F., McCarthy, D. J., . . . Carneiro, G. (2022). Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. In Proceedings of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), as published in Lecture Notes in Computer Science Vol. 13433 (pp. 14-24). Singapore: Springer.
Scopus5 WoS12017 Fang, L., Wang, C., Cunefare, D., Guymer, R. H., & Farsiu, S. (2017). Automatic segmentation of nine layer boundaries in OCT images using convolutional neural networks and graph search. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE Vol. 58 (pp. 3 pages). Baltimore, MD: ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
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Preprint
Year Citation 2023 Wang, C., Chen, Y., Liu, F., McCarthy, D. J., Frazer, H., & Carneiro, G. (2023). Mixture of Gaussian-distributed Prototypes with Generative Modelling for
Interpretable Image Classification.
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