Publications

Details of my publications, including peer-reviewed journals, conference papers, and abstracts, are listed on my Google Scholar

Nature Medicine, 2024.

npj digital medicine, 2026.

International Conference on Learning Representations (ICLR), 2022.

Nature Communications, 2021.

Projects

Vision Language Foundation Model for 3D MRI

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  • Large-Scale Multi-Source Data - Trained on 200K MRI series from 22K+ studies spanning diverse body regions, imaging sequences, and manufacturer sources
  • Well-Designed Pretraining - Combines self-supervised visual learning with clinical report guidance for robust, generalizable representations
  • Efficient Adaptation - Frozen encoder with lightweight decoders enables rapid adaptation for classification, localization, and retrieval

Deep learning methods for disentangling brain disease heterogeneity

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  • Method 1: Smile-GAN - Patient clustering based on disease-related imaging patterns
  • Method 2: Surreal-GAN - Interpretable latent representaiton that disentangle heterogeneity and severity of disease-related imaging patterns
  • Method 3: Gene-SGAN - Multi-modal disease subtyping via imaging and genetic signatures

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