A framework for scalable parameter estimation of gene circuit models using structural information. - Hiroyuki Kuwahara; Ming Fan 003; Suojin Wang; Xin Gao 001 (Bioinform., 2013)

Parameter estimation methods for gene circuit modeling from time-series mRNA data: a comparative study. - Ming Fan 003; Hiroyuki Kuwahara; Xiaolei Wang; Suojin Wang; Xin Gao 001 (Briefings Bioinform., 2015)

A novel Multi-Agent Ada-Boost algorithm for predicting protein structural class with the information of protein secondary structure. - Ming Fan 003; Bin Zheng 001; Lihua Li 002 (J. Bioinform. Comput. Biol., 2015)

DEEPre: sequence-based enzyme EC number prediction by deep learning. - Yu Li 006; Sheng Wang 001; Ramzan Umarov; Bingqing Xie; Ming Fan 003; Lihua Li 002; Xin Gao 001 (Bioinform., 2018)

DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy. - Yu Li 006; Fan Xu; Fa Zhang 001; Pingyong Xu; Mingshu Zhang; Ming Fan 003; Lihua Li 002; Xin Gao 001; Renmin Han (Bioinform., 2018)

A Slice-based 13C-detected NMR Spin System Forming and Resonance Assignment Method. - Meshari Alazmi; Ahmed Abbas; Xianrong Guo; Ming Fan 003; Lihua Li 002; Xin Gao 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

DCE-MRI based analysis of intratumor heterogeneity by decomposing method for prediction of HER2 status in breast cancer. - Peng Zhang; Ming Fan 003; Yuanzhe Li; Maosheng Xu; Lihua Li 002 (Computer-Aided Diagnosis, 2019)

Prediction of Short-Term Breast Cancer Risk Based on Deep Convolutional Neural Networks in Mammography. - Yane Li; Ming Fan 003; Shichen Liu; Bin Zheng 001; Lihua Li 002 (J. Medical Imaging Health Informatics, 2019)

Joint Prediction of Breast Cancer Histological Grade and Ki-67 Expression Level Based on DCE-MRI and DWI Radiomics. - Ming Fan 003; Wei Yuan; Wenrui Zhao; Maosheng Xu; Shiwei Wang; Xin Gao 001; Lihua Li 002 (IEEE J. Biomed. Health Informatics, 2020)

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis. - Longxi Zhou; Zhongxiao Li; Juexiao Zhou; Haoyang Li; Yupeng Chen; Yuxin Huang; Dexuan Xie; Lintao Zhao; Ming Fan 003; Shahrukh Hashmi; Faisal Abdelkareem; Riham Eiada; et al. (IEEE Trans. Medical Imaging, 2020)

Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms. - Yane Li; Wei Yuan; Ming Fan 003; Bin Zheng 001; Lihua Li 002 (J. Digit. Imaging, 2022)

A Framework for Deep Multitask Learning With Multiparametric Magnetic Resonance Imaging for the Joint Prediction of Histological Characteristics in Breast Cancer. - Ming Fan 003; Chengcheng Yuan; Guangyao Huang; Maosheng Xu; Shiwei Wang; Xin Gao 001; Lihua Li 002 (IEEE J. Biomed. Health Informatics, 2022)

Learning Common and Task-Specific Radiomic Features via Graph Regularized NMF for the Joint Prediction of Multiple Clinical Indicators in Breast Cancer. - Jian Guan 007; Ming Fan 003; Tieyong Zeng; Lihua Li 002 (IEEE J. Biomed. Health Informatics, 2023)

Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification. - Ming Fan 003; Guangyao Huang; Junhong Lou; Xin Gao 001; Tieyong Zeng; Lihua Li 002 (IEEE J. Biomed. Health Informatics, 2023)

TME-NET: an interpretable deep neural network for predicting pan-cancer immune checkpoint inhibitor responses. - Xiaobao Ding; Lin Zhang; Ming Fan 003; Lihua Li 002 (Briefings Bioinform., 2024)

Enhanced dual contrast representation learning with cell separation and merging for breast cancer diagnosis. - Yang Liu 119; Yiqi Zhu; Zhehao Gu; Jinshan Pan; Juncheng Li 003; Ming Fan 003; Lihua Li 002; Tieyong Zeng (Comput. Vis. Image Underst., 2024)

Elucidating genetic and molecular basis of altered higher-order brain structure-function coupling in major depressive disorder. - Haixia Long; Zihao Chen; Xinli Xu; Qianwei Zhou; Zhaolin Fang; Mingqi Lv; Xu-Hua Yang 001; Jie Xiao 003; Hui Sun; Ming Fan 003 (NeuroImage, 2024)

Biological mechanism of sex differences in mental rotation: Evidence from multimodal MRI, transcriptomic and receptor/transporter data. - Haixia Long; Hao Wu; Chaoliang Sun; Xinli Xu; Xuhua Yang 001; Jie Xiao 003; Mingqi Lv; Qiuju Chen; Ming Fan 003 (NeuroImage, 2024)

MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis. - Jian Guan 007; Ming Fan 003; Lihua Li 002 (Medical Image Anal., 2025)