About me
I am a Research Associate at Computational Biology Department, School of Computer Science, Carnegie Mellon University, advised by Prof.Min Xu. I am also affiliated with Feinberg School of Medicine, Northwestern University, advised by Prof.Ulas Bagci.
My research interests broadly lie in AI for Healthcare, at the intersection of machine learning (ML), computer vision (CV), and medical image computing (MIC) including:
- (ML&CV) Learning with Imperfect & Limited Annotation: Label Scarcity, Domain Shift, Imbalanced Subpopulation Distribution, Unsupervised and Representation learning, Uncertainty Quantification.
- Fundamental (MIC): Medical Image Segmentation/Reconstruction/Registration, Foundation Models in Medical Imaging, Learning with Multi-modality data, Integration of Imaging and Clinical data.
Feel free to reach out! I enjoy connecting and discussing ideas across a wide range of topics. I’m always open to collaboration, so don’t hesitate to get in touch if you’re excited about these areas and interested in working together.
If you are a Vietnamese undergraduate or master’s student, or an AIO member, and are interested in working on my research topics under my mentorship, you may want to check out the open positions in the AIMA group.
News
2026
- (2026.01): Two papers accepted at ICASSP 2026!!! I will attend the conference in Barcelona, Spain! See you soon!
- (2026.01): Three papers accepted at ISBI 2026!!!
- (2026.01): One paper accepted at Pattern Recognition (IF: 7.6)! “Adaptive Knowledge Transferring with Switching Dual-Student Framework for Semi-Supervised Medical Image Segmentation”
2025
- (2025.12): One paper accepted at Neurocomputing (IF: 6.5)! “UP2D: Uncertainty-aware progressive pseudo-label denoising for source-free domain adaptive medical image segmentation”
- (2025.11): One paper accepted as poster presentation at AAAI 2026 Bridge - AI for Medicine and Healthcare! “Modality-Specific Enhancement and Complementary Fusion for Semi-Supervised Multi-Modal Brain Tumor Segmentation”
- (2025.11): One paper accepted at Computerized Medical Imaging and Graphics (IF: 4.9)! “DuetMatch: Harmonizing semi-supervised brain MRI segmentation via decoupled branch optimization”
- (2025.11): One paper accepted at IEEE JBHI (IF: 6.7)! “OASIS-Net: An Obstetric Adversarial Semi-Supervised Image Segmentation Network for Cervical and Fetal Head Ultrasound Imaging”
- (2025.10): One paper accepted at WACV 2026! “Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification”
- (2025.9): Congratulations to our team (led by Phuc) for winning Honorable Mention Award by achieving top performance teams at FLARE Challenge Task 5 at MICCAI 2025!!!
- (2025.9) Received a Master’s degree in Artificial Intelligence in Health! Graduated as Salutatorian from Universite Bourgogne Europe (France)!!!
- (2025.9): Honored to serve as Program Committee at AAAI 2026
- (2025.8): One paper accepted as poster presentation at ICCV 2025 Workshop - VisionDoc! “Describe anything model for visual question answering on text-rich images”
- (2025.7): Very honored to give an invited talk at Feinberg School of Medicine, Northwestern University about “Learning with Limited Annotations and Imperfect Data in Medical Image Analysis”!
- (2025.7): One paper accepted as poster presentation at BMVC 2025! “Semi-MoE: Mixture-of-Experts meets Semi-Supervised Histopathology Segmentation”
- (2025.7): Four papers accepted as oral presentations at MICCAI 2025 Workshops!!!
- (2025.6): Started affiliating with Bagci Lab as a research assistant at Northwestern University!
- (2025.6): One paper accepted as poster presentation at ICML 2025 Workshop - FM4LS! “Describe Anything in Medical Images”
- (2025.5): Congratulations to our team (led by Hieu) for winning Best Runner-Up Award by achieving top performance teams at Fetal Ultrasound Grand Challenge at IEEE ISBI 2025
- (2025.5): One paper accepted at IEEE ICIP 2025! “Saw-Monodetr: Shape-Aware Adaptive Weighted Transformer for Monocular 3d Object Detection”
- (2025.4): One paper accepted at CVPR 2025 Workshop! “IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme”
- (2025.4): One paper accepted at IEEE ISBI 2025! “Fetal-BCP: Addressing Empirical Distribution Gap in Semi-Supervised Fetal Ultrasound Segmentation”
- (2025.4): One paper accepted at Journal of Medical System*s (IF:5.7)! “MLG2Net: Molecular global graph network for drug response prediction in lung cancer cell lines”
- (2025.3): One paper accepted at MIDL 2025! “DME-FD: Semi-supervised skin lesion segmentation under dual mask ensemble & feature discrepancy”
- (2025.2): Moved to Pittsburgh, I officially started a Research Associate position at Carnegie Mellon University!
Contact
Email: thanhhun@andrew.cmu.edu