I am a final-year undergraduate student majoring in Computer Science at the University of Science, VNUHCM. My academic interests lie at the intersection of artificial intelligence (AI) and medical image analysis. I am particularly interested in developing AI methodologies for healthcare applications, with a focus on medical imaging, cancer genomics, and precision medicine.
My research explores semi-supervised and self-supervised learning techniques to address the challenges of limited labeled data in clinical settings. I aim to build robust and scalable models that can support early diagnosis, disease classification, and treatment planning. Currently, I am also exploring report generation from medical data and images to enhance clinical decision support and automate diagnostic workflows.
My research interests include Medical Image Analysis and Bioinformatics, particularly in developing AI-driven solutions for healthcare.
🔥 News
- 📝 2026.03: Papers Accepted – Two papers accepted at IEEE ISBI 2026.
- 📰 2026.03: Featured by VinUni – VinUni-Illinois Smart Health Center members won 1st place at CXR-LT 2026 Challenge [Link]
- 📝 2026.02: Paper accepted – IEEE Transactions on Medical Imaging
- 🥇 2026.02: 1st Place – CXR-LT 2026 (ISBI 2026) – Long-tailed multi-label chest X-ray classification
- 🏅 2026.02: 3th Place – WBCBench 2026 (ISBI 2026) – White Blood Cell Classification
- 🌏 2025.11: Travel Grant & Student Volunteer Scholarship – AAAI 2026 Conference in Singapore
- 📝 2025.10: Student Abstract accepted – AAAI-26 Student Abstract and Poster Program (Oral presentation)
- 🏆 2025.08: 5th Place – MICCAI STSR Challenge 2025
- 📝 2025.07: Paper accepted – MICCAI Workshop on Computational Pathology (COMPAYL 2025)
- 📝 2025.04: Paper accepted – IEEE/CVF CVPR Workshop 2025
- 📝 2025.02: Paper accepted – IEEE ISBI 2025
- 🥈 2025.01: 2nd Place – Fetal Ultrasound Grand Challenge (ISBI 2025)
📝 Selected Publications
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FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation
Jieyun Bai, Yitong Tang, Zihao Zhou, et al., Ha-Hieu Pham, Thanh-Huy Nguyen, Min Xu, et al.
IEEE Transactions on Medical Imaging [PDF] -
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
IEEE International Symposium on Biomedical Imaging (ISBI 2026) -
Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation (Student Abstract)
Ha-Hieu Pham, Minh Le, Han Huynh, Nguyen Quoc Khanh Le, Huy-Hieu Pham
AAAI-26 Student Abstract and Poster Program (Oral) [PDF] -
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
MICCAI Workshop on Computational Pathology (COMPAYL 2025) [PDF] -
Fetal-BCP: Addressing Empirical Distribution Gap in Semi-Supervised Fetal Ultrasound Segmentation
Ha-Hieu Pham, Le Tran Quoc Khanh, Hoang-Thien Nguyen, Nguyen Lan Vi Vu, Quang-Vinh Dinh, Thanh-Huy Nguyen, Xingjian Li, Min Xu
IEEE International Symposium on Biomedical Imaging (ISBI 2025) [PDF] -
Tumor Genomic and Transcriptomic Analysis Integrated With Liquid Biopsy ctDNA Monitoring: Analytical Validation and Clinical Insights
Nam HB Tran, Thien-Phuc Hoang Nguyen, Van-Anh Nguyen Hoang, Tien Anh Nguyen, Minh-Duc Nguyen, Ha-Hieu Pham, et al.
Cancer Medicine [PDF] -
HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation
Tran Quoc Khanh Le*, Nguyen Lan Vi Vu*, Ha-Hieu Pham, Xuan-Loc Huynh, et al.
IEEE/CVF CVPR Workshop 2025 [PDF]
🎖 Honors and Awards
- Travel Grant & Student Volunteer Scholarship – AAAI 2026 Conference in Singapore
- 1st Place – CXR-LT 2026 (ISBI 2026): Long-tailed multi-label chest X-ray classification
- 3th Place – WBCBench 2026 (ISBI 2026): White Blood Cell Classification
- 5th Place – MICCAI STSR Challenge 2025: CBCT teeth and root pulp canal segmentation
- 2nd Place – Fetal Ultrasound Grand Challenge (ISBI 2025): Semi-supervised cervical segmentation
📖 Education
- 2022.09 - 2026.09 (Expected), BSc. in Computer Science, University of Science, Vietnam National University Ho Chi Minh City (VNUHCM)
- CGPA: 3.83/4.0 (126/138 credits completed)
- Relevant courses: Data Structure & Algorithm, Fundamentals of Artificial Intelligence, Machine Learning, Data Mining and Application, Natural Language Processing
💼 Experience
- 2025.07 - Present, Research Assistant, CVMAIL Lab, VinUniversity, Hanoi
- Co-supervised by Asst. Prof. Huy-Hieu Pham (VinUni) & Dr. Trung-Nghia Le (HCMUS)
- Researched semi-supervised semantic segmentation frameworks for histopathology images
- Addressed challenges of limited labeled data and data imbalance in biomedical imaging
- Developed automated report generation systems for chest X-ray (CXR) images
- 2024.06 - Present, Research Assistant, AIMA Lab
- Supervised by M.Sc. Thanh Huy Nguyen (CMU), Asst. Prof. Min Xu (CMU), Assoc. Prof. Ulas Bagci (Northwestern Univ.)
- Developed semi-supervised and self-supervised learning methods for biomedical image analysis
- Worked with gene expression matrices for Pan-Cancer (PANCAN) analysis
- Developed mediastinal tumor detection methods on chest MRI (in collaboration with University of Medicine and Pharmacy, HCMC)
- 2025.04 - 2025.06, Bioinformatics Intern, Gene Solutions, Ho Chi Minh City
- Developed predictive modeling based on fragmentomics extracted using NIPT to predict preeclampsia, preterm birth, and diabetes
- Applied graph neural networks to enhance fragmentomics-based modeling
- Identified tissue-of-origin of Carcinoma of Unknown Primary (CUP) using RNA-seq-based transcriptomic profiling
- 2024.08 - 2025.03, Undergraduate Research Assistant, AISIA Lab, Ho Chi Minh City
- Supervised by Assoc. Prof. Binh Nguyen (HCMUS)
- Developed breast cancer prediction model using mammogram images (collaboration with Thong Nhat Hospital)
- Exploring multimodal approaches in healthcare AI applications
📋 Academic Service
- Conference Reviewer: IEEE International Symposium on Biomedical Imaging (ISBI)
- Journal Reviewer: Medical Image Analysis (MedIA)