Describe Anything in Medical Images
Xiao, Xi, Yunbei Zhang, Thanh-Huy Nguyen, Ba-Thinh Lam, Janet Wang, Jihun Hamm, Xingjian Li, Xiao Wang, Hao Xu, Tianming Liu, and Min Xu. "Describe Anything in Medical Images." arxiv. 1(1).
Xiao, Xi, Yunbei Zhang, Thanh-Huy Nguyen, Ba-Thinh Lam, Janet Wang, Jihun Hamm, Xingjian Li, Xiao Wang, Hao Xu, Tianming Liu, and Min Xu. "Describe Anything in Medical Images." arxiv. 1(1).
Hien, Q. Kha, Dinh-Tan Nguyen, Thinh B. Lam, Thanh-Huy Nguyen, Cao T. Tran, Manh D. Vu, Lan T. Ho-Pham, Liem Pham, and Nguyen Quoc Khanh Le. "M2NET: Two-Stage Multi-Label Breast Cancer Detection Networks." 2024 IEEE International Symposium on Biomedical Imaging (ISBI). 1(1).
Ngo, Ba Hung, Ba Thinh Lam, Thanh Huy Nguyen, Quang Vinh Dinh, and Tae Jong Choi. "Dual dynamic consistency regularization for semi-supervised domain adaptation." IEEE Access. 1(2).
Truong, Toan TN, Huy T. Nguyen, Thinh B. Lam, Duy VM Nguyen, and Phuc H. Nguyen. "Delving into ipsilateral mammogram assessment under multi-view network." International Workshop on Machine Learning in Medical Imaging. 1(3).
Nguyen, Thanh-Huy, Quang Hien Kha, Thai Ngoc Toan Truong, Ba Thinh Lam, Ba Hung Ngo, Quang Vinh Dinh, and Nguyen Quoc Khanh Le. "Towards robust natural-looking mammography lesion synthesis on ipsilateral dual-views breast cancer analysis." In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023. 1(1).
Nguyen, Huy T., Thinh B. Lam, Quan TD Tran, Minh T. Nguyen, Dat T. Chung, and Vinh Q. Dinh. "In-context cross-density adaptation on noisy mammogram abnormalities detection." 2023 IEEE Statistical Signal Processing Workshop (SSP). 1(3).
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA