Thanh-Huy Nguyen

According to our database, Thanh-Huy Nguyen authored at least 46 papers between 2023 and 2026.

Collaborative distances:

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

2026

FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation.

Jieyun Bai, Yitong Tang, Zihao Zhou, Mahdi Islam, Musarrat Tabassum, Enrique Almar-Munoz, Hongyu Liu, Hui Meng, Nianjiang Lv, Bo Deng, Yu Chen, Zilun Peng, Yusong Xiao, Li Xiao, Nam-Khanh Tran, Dac-Phu Phan-Le, Hai-Dang Nguyen, Xiao Liu, Jiale Hu, Mingxu Huang, Jitao Liang, Chaolu Feng, Xuezhi Zhang, Lyuyang Tong, Bo Du, Ha-Hieu Pham, Thanh-Huy Nguyen, Min Xu, Juntao Jiang, Jiangning Zhang, Yong Liu, Md. Kamrul Hasan, Jie Gan, Zhuonan Liang, Weidong Cai, Yuxin Huang, Gongning Luo, Mohammad Yaqub, Karim Lekadir

IEEE Trans. Medical Imaging, June, 2026

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification.

Hexin Dong, Yi Lin, Pengyu Zhou, Fengnian Zhao, Alan Clint Legasto, Juno Cho, Dohui Kim, Justin Namuk Kim, Mingeon Kim, Sunwoo Kwak, Gabriel Moyà-Alcover, Ky Trung Nguyen, Thanh-Huy Nguyen, Ha-Hieu Pham, Huy-Hieu Pham, Huy Le Pham, Nikhileswara Rao Sulake, Aina Tur-Serrano, Ruichi Zhang, Ang Zu, Adam E. Flanders, Zhiyong Lu, Ronald M. Summers, Mingquan Lin, Hao Chen, Yuzhe Yang, George Shih, Yifan Peng

CoRR, April, 2026

Seeing Through the Tool: A Controlled Benchmark for Occlusion Robustness in Foundation Segmentation Models.

Nhan Ho, Luu Le, Thanh-Huy Nguyen, Thien Nguyen, Xiaofeng Liu, Ulas Bagci

CoRR, April, 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

FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation.

Jieyun Bai, Yitong Tang, Zihao Zhou, Mahdi Islam, Musarrat Tabassum, Enrique Almar-Munoz, Hongyu Liu, Hui Meng, Nianjiang Lv, Bo Deng, Yu Chen, Zilun Peng, Yusong Xiao, Li Xiao, Nam-Khanh Tran, Dac-Phu Phan-Le, Hai-Dang Nguyen, Xiao Liu, Jiale Hu, Mingxu Huang, Jitao Liang, Chaolu Feng, Xuezhi Zhang, Lyuyang Tong, Bo Du, Ha-Hieu Pham, Thanh-Huy Nguyen, Min Xu, Juntao Jiang, Jiangning Zhang, Yong Liu, Md. Kamrul Hasan, Jie Gan, Zhuonan Liang, Weidong Cai, Yuxin Huang, Gongning Luo, Mohammad Yaqub, Karim Lekadir

CoRR, January, 2026

Imaging-anchored Multiomics in Cardiovascular Disease: Integrating Cardiac Imaging, Bulk, Single-cell, and Spatial Transcriptomics.

Minh H. N. Le, Tuan Vinh, Thanh-Huy Nguyen, Tao Li, Bao Quang Gia Le, Han H. Huynh, Monika Raj, Carl Yang, Min Xu, Nguyen Quoc Khanh Le

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

MV-TRAMS: An efficient tumor region-adapted mammography synthesis under multi-view diagnosis.

Thanh-Huy Nguyen, Ba-Thinh Lam, Thai Ngoc Toan Truong, Dinh-Thang Duong, Quang-Vinh Dinh

Biomed. Signal Process. Control., 2026

Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification.

Anh Mai Vu, Tuan L. Vo, Ngoc Lam Quang Bui, Nam N. B. Le, Akash Awasthi, Huy Quoc Vo, Thanh-Huy Nguyen, Zhu Han, Chandra Mohan, Hien Van Nguyen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Handling Supervision Scarcity in Chest X-Ray Classification: Long-Tailed and Zero-Shot Learning.

Ha-Hieu Pham, Hai-Dang Nguyen, Thanh-Huy Nguyen, Min Xu, Ulas Bagci, Trung-Nghia Le, Huy-Hieu Pham

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

Scribble-Supervised Medical Image Segmentation With Dynamic Teacher Switching and Hierarchical Consistency.

Thanh-Huy Nguyen, Hoang-Loc Cao, Dat T. Chung, Mai-Anh Vu, Thanh-Minh Nguyen, Minh Le, Phat K. Huynh, Ulas Bagci

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

LPD: Learnable Prototypes with Diversity Regularization for Weakly Supervised Histopathology Segmentation.

Khang Le, Anh Mai Vu, Thi Kim Trang Vo, Ha Thach, Ngoc Bui Lam Quang, Thanh-Huy Nguyen, Minh H. N. Le, Zhu Han, Chandra Mohan, Hien Van Nguyen

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

Robust White Blood Cell Classification With Stain-Normalized Decoupled Learning and Ensembling.

Luu Le, Hoang-Loc Cao, Ha-Hieu Pham, Thanh-Huy Nguyen, Ulas Bagci

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

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

ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation.

Khang Le, Ha Thach, Anh M. Vu, Trang T. K. Vo, Han H. Huynh, David Yang, Minh H. N. Le, Thanh-Huy Nguyen, Akash Awasthi, Chandra Mohan, Zhu Han, Hien Van Nguyen

CoRR, December, 2025

DualProtoSeg: Simple and Efficient Design with Text- and Image-Guided Prototype Learning for Weakly Supervised Histopathology Image Segmentation.

Anh M. Vu, Khang P. Le, Trang T. K. Vo, Ha Thach, Huy Hung Nguyen, David Yang, Han H. Huynh, Quynh Nguyen, Tuan M. Pham, Tuan-Anh Le, Minh H. N. Le, Thanh-Huy Nguyen, Akash Awasthi, Chandra Mohan, Zhu Han, Hien Van Nguyen

CoRR, December, 2025

Modality-Specific Enhancement and Complementary Fusion for Semi-Supervised Multi-Modal Brain Tumor Segmentation.

Tien-Dat Chung, Ba-Thinh Lam, Thanh-Huy Nguyen, Thien Nguyen, Nguyen Lan Vi Vu, Hoang-Loc Cao, Phat K. Huynh, Min Xu

CoRR, December, 2025

See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models.

Le Thien Phuc Nguyen, Zhuoran Yu, Samuel Low Yu Hang, Subin An, Jeongik Lee, Yohan Ban, SeungEun Chung, Thanh-Huy Nguyen, JuWan Maeng, Soochahn Lee, Yong Jae Lee

CoRR, December, 2025

Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification.

Anh Mai Vu, Tuan L. Vo, Ngoc Lam Quang Bui, Nam Nguyen Le Binh, Akash Awasthi, Huy Quoc Vo, Thanh-Huy Nguyen, Zhu Han, Chandra Mohan, Hien Van Nguyen

CoRR, November, 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

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

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

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

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

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

Proceedings of the Comprehensive Analysis and Computing of Real-World Medical Images, 2025

AI-Driven Deep Learning Approach for Pan-Cancer Immune Profiling.

Minh Huu Nhat Le, Ha-Hieu Pham, Huy Quoc Nguyen, Hong Xuan Ong, Hien Quang Kha, Phat Ky Nguyen, Thanh-Huy Nguyen, Han Hong Huynh, Dang Nguyen, Thanh-Minh Nguyen, An Thuy Vo, Thuy Vu Minh Nguyen, Lam Huu Phuc Nguyen, Trung Minh Tu Tran, Nguyen Quoc Khanh Le

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 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

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 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

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