Thanh-Huy Nguyen

According to our database, Thanh-Huy Nguyen authored at least 23 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MLG2Net: Molecular Global Graph Network for Drug Response Prediction in Lung Cancer Cell Lines.

Thi-Oanh Tran, Thanh-Huy Nguyen, Tuan Tung Nguyen, Nguyen Quoc Khanh Le

J. Medical Syst., December, 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

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

CoRR, October, 2025

Label-Efficient Cross-Modality Generalization for Liver Segmentation in Multi-Phase MRI.

Quang-Khai Bui-Tran, Minh-Toan Dinh, Thanh-Huy Nguyen, Ba Thinh Lam, Mai-Anh Vu, Ulas Bagci

CoRR, October, 2025

Semi-MoE: Mixture-of-Experts meets Semi-Supervised Histopathology Segmentation.

Nguyen Lan Vi Vu, Thanh-Huy Nguyen, Thien Nguyen, Daisuke Kihara, Tianyang Wang, Xingjian Li, Min Xu

CoRR, September, 2025

Describe Anything Model for Visual Question Answering on Text-rich Images.

Yen-Linh Vu, Dinh-Thang Duong, Truong-Binh Duong, Anh-Khoi Nguyen, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Jianhua Xing, Xingjian Li, Tianyang Wang, Ulas Bagci, Min Xu

CoRR, July, 2025

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation.

Ha-Hieu Pham, Nguyen Lan Vi Vu, Thanh-Huy Nguyen, Ulas Bagci, Min Xu, Trung-Nghia Le, Huy-Hieu Pham

CoRR, July, 2025

Describe Anything in Medical Images.

Xi Xiao, Yunbei Zhang, Thanh-Huy Nguyen, Ba Thinh Lam, Janet Wang, Lin Zhao, Jihun Hamm, Tianyang Wang, Xingjian Li, Xiao Wang, Hao Xu, Tianming Liu, Min Xu

CoRR, May, 2025

Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments.

Ngoc C. Lê, Hai-Chung Nguyen-Phung, Thu-Huong Pham Thi, Hue Vu, Phuong-Thao Nguyen Thi, Thu-Thuy Tran, Hong-Nhung Le Thi, Thuy-Duong Nguyen-Thi, Thanh-Huy Nguyen

CoRR, April, 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

GMAT: Grounded Multi-agent Clinical Description Generation for Text Encoder in Vision-Language MIL for Whole Slide Image Classification.

Ngoc Bui Lam Quang, Nam Le Nguyen Binh, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Quan Nguyen, Ulas Bagci

Proceedings of the Emerging LLM/LMM Applications in Medical Imaging, 2025

DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction.

Minh Huu Nhat Le, Uyen Khoi Minh Huynh, Hong Xuan Ong, Phat K. Huynh, Minh-Toan Dinh, Han Hong Huynh, Hien Quang Kha, Phat Ky Nguyen, Xuan-Loc Huynh, An Thuy Vo, Thanh-Minh Nguyen, Thanh-Huy Nguyen, Quan Nguyen, Nguyen Quoc Khanh Le

Proceedings of the Emerging LLM/LMM Applications in Medical Imaging, 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

Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells.

Quoc-Vinh Luu, Khanh-Duy Le, Thanh-Huy Nguyen, Thanh-Minh Nguyen, Quan Nguyen, Tien-Thinh Nguyen, Quang-Vinh Dinh

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

2024

Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound Diagnosis.

Dat T. Chung, Minh-Anh Dang, Mai-Anh Vu, Minh T. Nguyen, Thanh-Huy Nguyen, Vinh Q. Dinh

CoRR, 2024

Dual Dynamic Consistency Regularization for Semi-Supervised Domain Adaptation.

Ba Hung Ngo, Ba Thinh Lam, Thanh-Huy Nguyen, Quang Vinh Dinh, Tae Jong Choi

IEEE Access, 2024

M2NET: Two-Stage Multi-Label Breast Cancer Detection Networks.

Hien Q. Kha, Dinh-Tan Nguyen, Thinh B. Lam, Thanh-Huy Nguyen, Cao T. Tran, Manh D. Vu, Lan T. Ho-Pham, Liem Pham, Nguyen Quoc Khanh Le

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Blurry-Consistency Segmentation Framework with Selective Stacking on Differential Interference Contrast 3D Breast Cancer Spheroid.

Thanh-Huy Nguyen, Thi Kim Ngan Ngo, Mai Anh Vu, Ting-Yuan Tu

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

2023

Delving into Ipsilateral Mammogram Assessment under Multi-View Network.

Thai Ngoc Toan Truong, Thanh-Huy Nguyen, Ba Thinh Lam, Vu Minh Duy Nguyen, Hong Phuc Nguyen

CoRR, 2023

Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis.

Thanh-Huy Nguyen, Quang-Hien Kha, Thai Ngoc Toan Truong, Ba Thinh Lam, Ba Hung Ngo, Quang Vinh Dinh, Nguyen-Quoc-Khanh Le

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023