Electromagnetic Source Imaging via a Data-Synthesis-Based Denoising Autoencoder. - Gexin Huang; Zhu Liang Yu; Wei Wu 022; Ke Liu 008; Zhenghui Gu; Feifei Qi; Yuanqing Li 001; Jiawen Liang (CoRR, 2020)

Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification. - Gexin Huang; Chenfei Wu; Mingjie Li 006; Xiaojun Chang; Ling Chen 006; Ying Sun 001; Shen Zhao; Xiaodan Liang; Liang Lin (CoRR, 2024)

Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network. - Gexin Huang; Ke Liu 008; Jiawen Liang; Chang Cai; Zhenghui Gu; Feifei Qi; Yuanqing Li 001; Zhu Liang Yu; Wei Wu 022 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Interactive Tumor Progression Modeling via Sketch-Based Image Editing. - Gexin Huang; Ruinan Jin; Yucheng Tang; Can Zhao 001; Tatsuya Harada; Xiaoxiao Li; Gu Lin (CoRR, 2025)

Identity Preserving Latent Diffusion for Brain Aging Modeling. - Gexin Huang; Zhangsihao Yang; Yalin Wang 001; Guido Gerig; Mengwei Ren; Xiaoxiao Li (CoRR, 2025)

See-in-Pairs: Reference Image-Guided Comparative Vision-Language Models for Medical Diagnosis. - Ruinan Jin; Gexin Huang; Xinwei Shen; Qiong Zhang; Yan Shuo Tan; Xiaoxiao Li (CoRR, 2025)