Research
Research
"A study of common ENT disease groups in elderly patients visiting Thong Nhat Hospital after the fourth wave of the Covid-19 pandemic"
Dao Thi Phuong Thao, Truong Hoang Viet, Nguyen Vinh Phuoc.
The Vietnam Journal of Community Medicine. 2023. pg 284. https://doi.org/10.52163/yhc.v64i8
"Support of deep learning to classify vocal fold images in flexible laryngoscopy"
Bich Anh Tran+, Thao Thi Phuong Dao+, Ho Dang Quy Dung, Ngoc Boi Van, Chanh Cong Ha, Nam Hoang Pham, Tu Cong Huyen Ton Nu Cam, Tan-Cong Nguyen, Minh-Khoi Pham, Mai-Khiem Tran, Truong Minh Tran, Minh-Triet Tran
American Journal of Otolaryngology. 2023. pg. 10380. https://doi.org/10.1016/j.amjoto.2023.103800
+: Co-first authors
“Survey Anatomical Features and Related Factors of the Sphenopalatine Foramen on Computed Tomography”
Thao Thi Phuong Dao, Cong Van Ngo & Truong Minh Tran
Indian Journal of Otolaryngology and Head & Neck Surgery, 2021, DOI: https://doi.org/10.1007/s12070-021-02494-z
"Toward Content-based Indexing and Retrieval of Head and Neck CT with Abscess Segmentation"
Thao Thi Phuong Dao, Tan-Cong Nguyen, Trong-Le Do, et al. MAICBR: Multimedia AI in Modern CB Retrieval: Challenges and Applications, CBMI 2025, Dublin, Ireland, 2025
"DYNAFormer: Enhancing transformer segmentation with dynamic anchor mask for medical imaging"
Tan-Cong Nguyen, Kim Anh Phung, Thao Thi Phuong Dao, Trong-Hieu Nguyen-Mau, Thuc Nguyen-Quang, Cong Nhan Pham, Trung-Nghia Le, Ju Shen, Tam V Nguyen, Minh-Triet Tran. Computers in Biology and Medicine, 197, 110952, 2025
"Artificial intelligence for laryngoscopy in vocal fold diseases: a review of dataset, technology, and ethics"
Thao Thi Phuong Dao, Tan-Cong Nguyen, Viet-Tham Huynh, Xuan-Hai Bui, Trung-Nghia Le, Minh-Triet Tran. Machine Learning, 2024
“DermAI: A Chatbot Assistant for Skin lesion Diagnosis Using Vision and Large Language Models”.
Viet-Tham Huynh, Trong-Thuan Nguyen, Thao Thi-Phuong Dao, Tam V Nguyen, Minh-Triet Tran. Proceedings of the Asian Conference on Computer Vision (ACCV) Workshops, 2024, pp. 287-30
"PISeg: Polyp Instance Segmentation with Texture Denoising and Adaptive Region"
Tan-Cong Nguyen, Kim Anh Phung, Tien-Phat Nguyen, Thao Thi Phuong Dao, Cong Nhan Pham, Trung-Nghia Le, Thuc Nguyen-Quang, Ju Shen, Tam V Nguyen, Minh-Triet Tran. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024, pp. 1-5. https://doi.org/10.1109/ISBI56570.2024.10635898
“Improving Laryngoscopy Image Analysis through Integration of Global Information and Local Features in VoFoCD Dataset”.
Thao Thi Phuong Dao, Tuan-Luc Huynh, Minh-Khoi Pham, Trung-Nghia Le, Tan-Cong Nguyen, Quang-Thuc Nguyen, Bich Anh Tran, Boi Ngoc Van, Chanh Cong Ha, Minh-Triet Tran. Journal of Imaging Informatics in Medicine, 2024. https://doi.org/10.1007/s10278-024-01068-z
"Polyp Instance Segmentation in Colonoscopy Images: A Benchmark."
Tan-Cong Nguyen, Kim-Anh Phung, Thao Thi Phuong Dao, Ju Shen, Tam V Nguyen, Minh-Triet Tran. In 2023 IEEE/ACIS 8th International Conference on Big Data, Cloud Computing, and Data Science (BCD), pp. 148-153. IEEE, 2023. https://doi.org/10.1109/BCD57833.2023.10466309
"MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation"
Tan-Cong Nguyen, Tien-Phat Nguyen, Tri Cao, Thao Thi Phuong Dao, Thi-Ngoc Ho, Tam V Nguyen, Minh-Triet Tran. Computer Methods and Programs in Biomedicine. Volume 241, November 2023, 107748. https://doi.org/10.1016/j.cmpb.2023.107748
"Support of deep learning to classify vocal fold images in flexible laryngoscopy"
Bich Anh Tran+, Thao Thi Phuong Dao+, Ho Dang Quy Dung, Ngoc Boi Van, Chanh Cong Ha, Nam Hoang Pham, Tu Cong Huyen Ton Nu Cam, Tan-Cong Nguyen, Minh-Khoi Pham, Mai-Khiem Tran, Truong Minh Tran, Minh-Triet Tran. American Journal of Otolaryngology. 2023. pg. 10380. https://doi.org/10.1016/j.amjoto.2023.103800
+: Co-first authors
"Vision-based Assistance for Vocal Fold Identification in Laryngoscopy with Knowledge Distillation"
Thao Thi Phuong Dao, Minh-Khoi Pham, Mai-Khiem Tran, Chanh Cong Ha, Boi Ngoc Van , Bich Anh Tran, Minh-Triet Tran
Poster at WICV workshop, CVPR 2022. https://sites.google.com/view/wicvcvpr2022/program/accepted-work?authuser=0.
"Semi-supervised organ segmentation with Mask Propagation Refinement and Uncertainty Estimation for Data Generation"
Minh-Khoi Pham, Thang-Long Nguyen-Ho, Tan-Cong Nguyen, Thao Thi Phuong Dao, Minh-Triet Tran. In: Ma, J., Wang, B. (eds) Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation. FLARE 2022. Lecture Notes in Computer Science, vol 13816. Springer, Cham. https://doi.org/10.1007/978-3-031-23911-3_15.
"Tail-Aware Sperm Analysis for Transparent Tracking of Spermatozoa"
Tuan-Luc Huynh, Huu-Hung Nguyen, Xuan-Nhat Hoang, Thao Thi Phuong Dao, Tien-Phat Nguyen, Viet-Tham Huynh, Hai-Dang Nguyen, Trung-Nghia Le, Minh-Triet Tran. Multimedia Evaluation Workshop (MediaEval), 2022. https://2022.multimediaeval.com/paper6101.pdf.
Tensorflow Developer Certificate
An exam recognized by Google. Certificate ID: 31281273
Oxford Machine Learning Summer School (OxML) 2023
- ML x Fundamentals & Cases: May – June 2023
- ML x Health: July 13th – July 16th 2023
For attending the online course. Organised by AI for Global Goals and in partnership with CIFAR and the University of Oxford’s Deep Medicine Program
AI Series: Fundamentals of AI and Machine Learning in Healthcare
An online course authorized by The Stanford University School of Medicine.
Mathematics for Machine Learning: Linear Algebra
An online non-credit course authorized by Imperial College London and offered through Coursera
Mathematics for Machine Learning: Multivariate Calculus
An online non-credit course authorized by Imperial College London and offered through Coursera
The Machine Learning Online Course
Offered by VietAI organization in Vietnam.
Crash Course on Python
an online non-credit course authorized by Google and offered through Coursera
The Bits and Bytes of Computer Networking
an online non-credit course authorized by Google and offered through Coursera
Technical Support Fundamentals
an online non-credit course authorized by Google and offered through Coursera