Hoang-Thien Nguyen

According to our database, Hoang-Thien Nguyen authored at least 13 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Domain-invariant Mixed-domain Semi-supervised Medical Image Segmentation with Clustered Maximum Mean Discrepancy Alignment.

Ba-Thinh Lam, Thanh-Huy Nguyen, Hoang-Thien Nguyen, Quang-Khai Bui-Tran, Nguyen Lan Vi Vu, Phat K. Huynh, Ulas Bagci, Min Xu

CoRR, January, 2026

Adaptive knowledge transferring with switching dual-student framework for semi-supervised medical image segmentation.

Hoang-Thien Nguyen, Thanh-Huy Nguyen, Ba-Thinh Lam, Vi Vu, Bach X. Nguyen, Jianhua Xing, Tianyang Wang, Xingjian Li, Min Xu

Pattern Recognit., 2026

UP2D: Uncertainty-aware progressive pseudo-label denoising for source-free domain adaptive medical image segmentation.

Thanh-Huy Nguyen, Quang-Khai Bui-Tran, Manh D. Ho, Ba Thinh Lam, Vi Vu, Hoang-Thien Nguyen, Phat K. Huynh, Ulas Bagci

Neurocomputing, 2026

From Specialist to Generalist: Unlocking Sam's Learning Potential on Unlabeled Medical Images.

Vi Vu, Thanh-Huy Nguyen, Tien-Thinh Nguyen, Ba-Thinh Lam, Hoang-Thien Nguyen, Tianyang Wang, Xingjian Li, Min Xu

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Aligning What You Separate: Denoised Patch Mixing for Source-Free Domain Adaptation in Medical Image Segmentation.

Quang-Khai Bui-Tran, Thanh-Huy Nguyen, Hoang-Thien Nguyen, Ba-Thinh Lam, Nguyen Lan Vi Vu, Phat K. Huynh, Ulas Bagci, Min Xu

CoRR, October, 2025

Adaptive Knowledge Transferring with Switching Dual-Student Framework for Semi-Supervised Medical Image Segmentation.

Thanh-Huy Nguyen, Hoang-Thien Nguyen, Ba Thinh Lam, Vi Vu, Bach X. Nguyen, Jianhua Xing, Tianyang Wang, Xingjian Li, Min Xu

CoRR, October, 2025

IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme.

Quan Tran Dinh Dai, Hoang-Thien Nguyen, Thanh-Huy Nguyen, Gia-Van To, Tien-Huy Nguyen, Quan Nguyen

CoRR, April, 2025

DuetMatch: Harmonizing semi-supervised brain MRI segmentation via decoupled branch optimization.

Thanh-Huy Nguyen, Hoang-Thien Nguyen, Vi Vu, Ba Thinh Lam, Phat Huynh, Tianyang Wang, Xingjian Li, Ulas Bagci, Min Xu

Comput. Medical Imaging Graph., 2025

Fetal-BCP: Addressing Empirical Distribution Gap in Semi-Supervised Fetal Ultrasound Segmentation.

Ha-Hieu Pham, Tran Quoc Khanh Le, Hoang-Thien Nguyen, Nguyen Lan Vi Vu, Quang-Vinh Dinh, Thanh-Huy Nguyen, Xingjian Li, Min Xu

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

C2GMatch: Leveraging Dual-View Cross-Guidance and Co-Guidance Framework for Semi-Supervised Cell Segmentation.

Thi-Ngoc-Truc Nguyen, Xuan-Hong Ong, Hoang-Thien Nguyen, Van-Hung Bui, Hoang-Nguyen Vu, Thanh Minh Nguyen, Quan Nguyen, Huu-Hung Nguyen

Proceedings of the 6th IEEE International Conference on Image Processing, 2025

IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme.

Quan Tran, Hoang-Thien Nguyen, Thanh-Huy Nguyen, Gia-Van To, Tien-Huy Nguyen, Quan Nguyen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Semi-Supervised Histopathology Image Segmentation with Feature Diversified Collaborative Learning.

Thanh-Huy Nguyen, Nguyen Lan Vi Vu, Hoang-Thien Nguyen, Quang-Vinh Dinh, Xingjian Li, Min Xu

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

2024

Emotic Masked Autoencoder on Dual-views with Attention Fusion for Facial Expression Recognition.

Xuan-Bach Nguyen, Hoang-Thien Nguyen, Thanh-Huy Nguyen, Nhu-Tai Do, Quang Vinh Dinh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024