Lihua Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Machine Learning

Magnetic Resonance

Diffusion Weighted

Top Venues

Journal of translational medicine

Physics in medicine and biology

Briefings in bioinformatics

NMR in biomedicine

This page only lists publications with an associated author ORCID identifier.

Publications

Ming Fan, Xuan Cao, Fuqing Lü, Sangma Xie, Zhou Yu, Yuanlin Chen, Zhong Lü, Lihua Li
Generative adversarial network-based synthesis of contrast-enhanced MR images from precontrast images for predicting histological characteristics in breast cancer. Physics in medicine and biology (2024)
Ming Fan, Kailang Wang, Da Pan, Xuan Cao, Zhihao Li, Songlin He, Sangma Xie, Chao You, Yajia Gu, Lihua Li
Radiomic analysis reveals diverse prognostic and molecular insights into the response of breast cancer to neoadjuvant chemotherapy: a multicohort study. Journal of translational medicine 22 (1) (2024)
Xiaobao Ding, Lin Zhang, Ming Fan, Lihua Li
TME-NET: an interpretable deep neural network for predicting pan-cancer immune checkpoint inhibitor responses. Briefings in bioinformatics 25 (5) (2024)
Ming Fan, Kailang Wang, Da Pan, Xuan Cao, Zhihao Li, Songlin He, Sangma Xie, Chao You, Yajia Gu, Lihua Li
Radiomic analysis reveals diverse prognostic and molecular insights into the response of breast cancer to neoadjuvant chemotherapy: a multicohort study. Journal of translational medicine 22 (1) (2024)
Ming Fan, Xuan Cao, Fuqing Lü, Sangma Xie, Zhou Yu, Yuanlin Chen, Zhong Lü, Lihua Li
Generative adversarial network-based synthesis of contrast-enhanced MR images from precontrast images for predicting histological characteristics in breast cancer. Physics in medicine and biology 69 (9) (2024)
Ming Fan, Kailang Wang, Da Pan, Xuan Cao, Zhihao Li, Songlin He, Sangma Xie, Chao You, Yajia Gu, Lihua Li
Radiomic analysis reveals diverse prognostic and molecular insights into the response of breast cancer to neoadjuvant chemotherapy: a multicohort study. Journal of translational medicine 22 (1) (2024)
Xiaobao Ding, Lin Zhang, Ming Fan, Lihua Li
TME-NET: an interpretable deep neural network for predicting pan-cancer immune checkpoint inhibitor responses. Briefings in bioinformatics 25 (5) (2024)
Ming Fan, Kailang Wang, Da Pan, Xuan Cao, Zhihao Li, Songlin He, Sangma Xie, Chao You, Yajia Gu, Lihua Li
Radiomic analysis reveals diverse prognostic and molecular insights into the response of breast cancer to neoadjuvant chemotherapy: a multicohort study. Journal of translational medicine 22 (1) (2024)
Ming Fan, Xuan Cao, Fuqing Lü, Sangma Xie, Zhou Yu, Yuanlin Chen, Zhong Lü, Lihua Li
Generative adversarial network-based synthesis of contrast-enhanced MR images from precontrast images for predicting histological characteristics in breast cancer. Physics in medicine and biology 69 (9) (2024)
Liangliang Zhang, Ming Fan, Lihua Li
Efficient estimation of pharmacokinetic parameters from breast dynamic contrast-enhanced MRI based on a convolutional neural network for predicting molecular subtypes. Physics in medicine and biology (2023)
Jianpeng Tang, Xugang Xi, Ting Wang, Junhong Wang, Lihua Li, Zhong Lü
Analysis of corticomuscular-cortical functional network based on time-delayed maximal information spectral coefficient. Journal of neural engineering (2023)
Jian Guan, Ming Fan, Lihua Li
A weakly supervised NMF method to decipher molecular subtype-related dynamic patterns in breast DCE-MR images. Physics in medicine and biology (2023)
Ming Fan, Kailang Wang, You Zhang, Yuanyuan Ge, Zhong Lü, Lihua Li
Radiogenomic analysis of cellular tumor-stroma heterogeneity as a prognostic predictor in breast cancer. Journal of translational medicine 21 (1) (2023)
Ming Fan, Yajing Cui, Chao You, Li Liu, Ya-Jia Gu, Weijun Peng, Qianming Bai, Xin Gao, Lihua Li
Radiogenomic Signatures of Oncotype DX Recurrence Score Enable Prediction of Survival in Estrogen Receptor-Positive Breast Cancer: A Multicohort Study. Radiology (2021)
Ming Fan, Wei Yuan, Weifen Liu, Xin Gao, Maosheng Xu, Shiwei Wang, Lihua Li
A deep matrix factorization framework for identifying underlying tissue-specific patterns of DCE-MRI: applications for molecular subtype classification in breast cancer. Physics in medicine and biology 66 (24) (2021)
Liangliang Zhang, Ming Fan, Shiwei Wang, Maosheng Xu, Lihua Li
Radiomic Analysis of Pharmacokinetic Heterogeneity Within Tumor Based on the Unsupervised Decomposition of Dynamic Contrast-Enhanced MRI for Predicting Histological Characteristics of Breast Cancer. Journal of magnetic resonance imaging : JMRI (2021)
Lin Zhang, Ming Fan, Francesco Napolitano, Xin Gao, Ying Xu, Lihua Li
Transcriptomic analysis identifies organ-specific metastasis genes and pathways across different primary sites. Journal of translational medicine 19 (1) (2021)
Ming Fan, Zuhui Liu, Maosheng Xu, Shiwei Wang, Tieyong Zeng, Xin Gao, Lihua Li
Generative adversarial network-based super-resolution of diffusion-weighted imaging: Application to tumour radiomics in breast cancer. NMR in biomedicine 33 (8) (2020)
Ming Fan, Pingping Xia, Robert Clarke, Yue Wang, Lihua Li
Radiogenomic signatures reveal multiscale intratumour heterogeneity associated with biological functions and survival in breast cancer. Nature communications 11 (1) (2020)
Ming Fan, Pingping Xia, Bin Liu, Lin Zhang, Yue Wang, Xin Gao, Lihua Li
Tumour heterogeneity revealed by unsupervised decomposition of dynamic contrast-enhanced magnetic resonance imaging is associated with underlying gene expression patterns and poor survival in breast cancer patients. Breast cancer research : BCR 21 (1) (2019)
Ming Fan, Ting He, Peng Zhang, Hu Cheng, Juan Zhang, Xin Gao, Lihua Li
Diffusion-weighted imaging features of breast tumours and the surrounding stroma reflect intrinsic heterogeneous characteristics of molecular subtypes in breast cancer. NMR in biomedicine 31 (2) (2017)