百晓学者学者目录

李明

博导、教授、硕导，山东中医药大学

精选作品

期刊论文

2026

深度学习在前列腺医学图像分割中的研究综述

刘益名，李明，马金刚，魏德健

《计算机科学与探索》

2026

深度学习重建联合Smart去金属伪影算法在CT引导下肺穿刺活检中的应用

郭炎兵，谭辉，党珊，马光明，于楠，杨创勃，李明

《影像诊断与介入放射学》

2026

区域结核病防控中的多模态人工智能辅助筛查模型构建

李明，左秀然，许昌，王亚茹，侯李萍，陈晓，魏双

《中国数字医学》

2026

Robust Brain Tumor Segmentation With Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer

Runze Cheng, Xihang Qiu, Ming Li, Ye Zhang, Fei Richard Yu, Chun Li

IEEE/CAA Journal of Automatica Sinica

2025

中医古籍方剂数据挖掘与知识问答系统构建

李明，罗晓兰，朱邦贤

《图书馆论坛》，Vol. 45, No. 4

下载原文

2025

利用机器学习算法鉴定原发性膜性肾病的铁死亡相关诊断标志物

高青松，潘婷婷，黎丹，袁戈，王婷，卢思睿，李明

《中国实验诊断学》

2025

深度学习图像重建联合“三低技术”能谱CT低keV在优化肝硬化门静脉图像质量的研究

李明，贾永军，申利，樊君风，于楠，于勇，张丹庆

《实用放射学杂志》

2025

CT深度学习图像重建可降低辐射剂量和提高图像质量：基于体模研究

樊丽华，李明，贾永军，韩冬，于勇，郑运松，魏伟

《分子影像学杂志》

2025

U-Net与Transformer在结肠息肉图像分割中的应用综述

史艳坤，孙石磊，刘静，马金刚，李明

《生物医学工程学杂志》

2025

深度学习在宫颈细胞分割中的应用综述

朱佳音，李杨，李明，马金刚

《计算机科学与探索》

2025

深度学习在黑色素瘤分类诊断中的研究进展

蒋润泽，刘静，马金刚，郭振，李明

《计算机科学与探索》

2025

Voice EHR: introducing multimodal audio data for health

James Anibal, Hannah Huth, Ming Li, Lindsey Hazen, Veronica Daoud, Dominique Ebedes, Yen Minh Lam, Hang Nguyen, Phuc Vo Hong, Michael Kleinman, Shelley Ost, Christopher Jackson, Laura Sprabery, Cheran Elangovan, Balaji Krishnaiah, Lee Akst, Ioan Lina, Iqbal Elyazar, Lenny Ekawati, Stefan Jansen, Richard Nduwayezu, Charisse Garcia, Jeffrey Plum, Jacqueline Brenner, Miranda Song, Emily Ricotta, David Clifton, C. Louise Thwaites, Yael Bensoussan, Bradford Wood

Frontiers In Digital Health

DOI

2024

深度学习在皮肤癌病变分类诊断中的应用进展

刘天宇，刘静，马金刚，陈天真，李明

《计算机系统应用》

2024

深度学习在乳腺癌影像学检查中的应用进展

王一凡，刘静，马金刚，邵润华，陈天真，李明

《计算机科学与探索》

2024

Hybrid Deep Relation Matrix Bidirectional Approach for Relational Triple Extraction

Yushuai Hu, Zhao Jing, Ming Li, Lin Yuan, Qingzhi Zou, Ronghuan Zhang

International Conference on Computer Supported Cooperative Work in Design (CSCWD)

DOI

2023

基于深度学习的危及器官CT图像分割算法研究

李明

《东北大学》

2023

电子病历关系抽取综述

王辰，李明，马金刚

《计算机工程与应用》

2023

Graph Attention Network Knowledge Graph Completion Model Based on Relational Aggregation

Junkang Shi, Ming Li, Zhao Jing

Communications in computer and information science

DOI

2023

SAMI: A Structure-Aware Multi-Partition Embedding Interaction Model for Accurate Link Prediction in Knowledge Graphs

Shuai Gao, Ming Li, Zhao Jing, Junkang Shi

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2023

Heterogeneous Graph Neural Network Knowledge Graph Completion Model Based on Improved Attention Mechanism

Junkang Shi, Ming Li, Zhao Jing

Lecture notes in computer science

DOI

2023

Knowledge Graph Link Prediction Model Based on Attention Graph Convolutional Network

Junkang Shi, Ming Li, Zhao Jing

Lecture notes in computer science

DOI

2022

基于机器学习的心电自动诊断算法综述

张宁宁，马金刚，樊昭磊，张汉明，李明

《医疗卫生装备》

2022

A Convolution Quaternion-Based Inverse Relational Rotation Embedding Knowledge Representation Method

Donglin Wu, Zhao Jing, Ming Li

IEEE International Conference on Data Science and Advanced Analytics (DSAA)

DOI

2022

A Knowledge Representation Method for Multiple Pattern Embeddings Based on Entity-Relation Mapping Matrix

Donglin Wu, Zhao Jing, Ming Li, Ming Shi

2022 International Joint Conference on Neural Networks (IJCNN)

DOI

2021

糖尿病视网膜病变智能识别的SCSDN泛化性增强方法

张永亮，熊健皓，李明，欧杨杰，张大磊，曾强

《中国数字医学》

2019

基于深度学习的冠脉造影图像血管分割方法的研究

李明

《大连海事大学》

2016

基于医疗数据的属性约简聚类分析算法

李晓雪，郑静晨，李明，郝昱文

《医学信息学杂志》

2014

医院决策支持系统设计与实施

李明

《医学信息学杂志》

2013

数据挖掘法探究麻黄药对配伍与证治规律

英洪友，张凌凌，朱邦贤，李明

《上海中医药杂志》

2013

应用分类树模型构建糖尿病肾病蛋白尿进展的风险预测模型

赵文波，李明，唐骅，司美君，刘迅，娄探奇

《陆军军医大学学报》

2013

一种稳健的脂肪肝超声图像自动分类方法

兰义华，任浩征，张勇，李明

《计算机工程与应用》

2013

胶囊内镜绒毛图像自动检测方法

张栋冰，兰义华，万金鑫，李明

《计算机工程与应用》

2012

复杂证候的证素与相似性判断研究

李敬华，陈国卫，姜岩，奚怀平，温先荣，王静，李明

《中国数字医学》

2011

基于健康档案的医患互助信息系统建设研究

孙景海，于波，董文洋，金亮，金巍，毕纪伟，李明

《中国数字医学》

2011

甲型H1N1流感的Monte Carlo预测模型研究

李明，曾志，武祯，孙晓北

《医学信息学杂志》

2011

面向医学超声图像坐标变换的CORDIC算法优化

郁道银，李妍，李明，汪毅，陈晓冬

Nanotechnology and Precision Engineering

2010

移动终端预约挂号系统的研究

于波，孙景海，汤卫兵，蒲亮，李明，金亮，毕纪伟

《中国数字医学》

2010

移动远程医疗监护系统的设计与实现

周笑，李明，卜佳俊，杨智

《计算机工程》

2007

动态知识库和概念格在病症智能诊断中的应用

刘玲，张永，李明，杨德三

《计算机工程与应用》

2002

善待健康,从远程医疗开始——国内远程医学现况调查分析

浦晓东，姚恩达，李明

《软件和集成电路》

2000

药物相互作用查询系统

王莉文，李明，王景田

《医学信息》

会议论文

2009

健康风险评估及其应用

李明

《转型期的中国公共卫生：机遇 挑战与对策——中华预防医学会第三届学术年会暨中华预防医学会科学技术奖颁奖大会、世界公共卫生联盟第一届西太区公共卫生大会、全球华人公共卫生协会第五届年会论文集》

预印本

2026

Towards World Models in Biomedical Research

Guangyu Wang, Jingkun Yue, Siqi Zhang, Yu Liu, Xiaoyu Wang, Mingyuan Meng, Changwei Ji, Zongbo Han, Yulin Wang, Yang Yue, Frank Fu, Ting Chen, Song Wu, Ziwei Liu, Jiangning Song, Ming Li, Gao Huang, Xiaohong Liu, Athanasios Vasilakos, Xingcai Zhang, Ping Zhang, Yong Li

arXiv preprint

2026

Validation of HRV Studio: A Transparent and Quality-Control-Aware Platform for Heart Rate Variability Analysis

Cyrus Mexon Evrard Djindot, Faliang Liu, Sylvain Laborde, Yinjia Zhang, Jessie Chen, Ming Li, Congrong Wang, Weixiong Rao, Qinpei Zhao

arXiv preprint

2026

Taming Epilepsy: Mean Field Control of Whole-Brain Dynamics

Ming Li, Ting Gao, Jingqiao Dua

arXiv preprint

2025

Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models

Yuxiang Lai, Jike Zhong, Ming Li, Shitian Zhao, Yuheng Li, Konstantinos Psounis, Xiaofeng Yang

arXiv preprint

2025

Long-range Brain Graph Transformer

Shuo Yu, Shan Jin, Ming Li, Tabinda Sarwar, Feng Xia

arXiv preprint

2025

TCM-5CEval: Extended Deep Evaluation Benchmark for LLM's Comprehensive Clinical Research Competence in Traditional Chinese Medicine

Tianai Huang, Jiayuan Chen, Lu Lu, Pengcheng Chen, Tianbin Li, Bing Han, Wenchao Tang, Jie Xu, Ming Li

arXiv preprint

2025

EEGDM: Learning EEG Representation with Latent Diffusion Model

Shaocong Wang, Tong Liu, Yihan Li, Ming Li, Kairui Wen, Pei Yang, Wenqi Ji, Minjing Yu, Yong-Jin Liu

arXiv preprint

DOI

2025

Strategic priorities for transformative progress in advancing biology with proteomics and artificial intelligence

Yingying Sun, Jun A, Zhiwei Liu, Rui Sun, Liujia Qian, Samuel H. Payne, Wout Bittremieux, Markus Ralser, Chen Li, Yi Chen, Zhen Dong, Yasset Perez-Riverol, Asif Khan, Chris Sander, Ruedi Aebersold, Juan Antonio Vizcaíno, Jonathan R Krieger, Jianhua Yao, Han Wen, Linfeng Zhang, Yunping Zhu, Yue Xuan, Benjamin Boyang Sun, Liang Qiao, Henning Hermjakob, Haixu Tang, Huanhuan Gao, Yamin Deng, Qing Zhong, Cheng Chang, Nuno Bandeira, Ming Li, Weinan E, Siqi Sun, Yuedong Yang, Gilbert S. Omenn, Yue Zhang, Ping Xu, Yan Fu, Xiaowen Liu, Christopher M. Overall, Yu Wang, Eric W. Deutsch, Luonan Chen, Jürgen Cox, Vadim Demichev, Fuchu He, Jiaxing Huang, Huilin Jin, Chao Liu, Nan Li, Zhongzhi Luan, Jiangning Song, Kaicheng Yu, Wanggen Wan, Tai Wang, Kang Zhang, Le Zhang, Peter A. Bell, Matthias Mann, Bing Zhang, Tiannan Guo

arXiv preprint

2025

Are Video Models Emerging as Zero-Shot Learners and Reasoners in Medical Imaging?

Yuxiang Lai, Jike Zhong, Ming Li, Yuheng Li, Xiaofeng Yang

arXiv preprint

2025

Fourier Transform Multiple Instance Learning for Whole Slide Image Classification

Anthony Bilic, Guangyu Sun, Ming Li, Md Sanzid Bin Hossain, Yu Tian, Wei Zhang, Laura Brattain, Dexter Hadley, Chen Chen

arXiv preprint

2024

Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Xueyu Liu, Guangze Shi, Rui Wang, Yexin Lai, Jianan Zhang, Lele Sun, Quan Yang, Yongfei Wu, MIng Li, Weixia Han, Wen Zheng

arXiv preprint

2024

Detecting Children with Autism Spectrum Disorder based on Script-Centric Behavior Understanding with Emotional Enhancement

Wenxing Liu, Yueran Pan, Dong Zhang, Hongzhu Deng, Xiaobing Zou, Ming Li

arXiv preprint

2024

Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge

Jiancheng Yang, Rui Shi, Liang Jin, Xiaoyang Huang, Kaiming Kuang, Donglai Wei, Shixuan Gu, Jianying Liu, Pengfei Liu, Zhizhong Chai, Yongjie Xiao, Hao Chen, Liming Xu, Bang Du, Xiangyi Yan, Hao Tang, Adam Alessio, Gregory Holste, Jiapeng Zhang, Xiaoming Wang, Jianye He, Lixuan Che, Hanspeter Pfister, Ming Li, Bingbing Ni

arXiv preprint

2024

Semi-Supervised Disease Classification based on Limited Medical Image Data

Yan Zhang, Chun Li, Zhaoxia Liu, Ming Li

arXiv preprint

2024

Large Language Model Benchmarks in Medical Tasks

Lawrence K. Q. Yan, Qian Niu, Ming Li, Yichao Zhang, Caitlyn Heqi Yin, Cheng Fei, Benji Peng, Ziqian Bi, Pohsun Feng, Keyu Chen, Tianyang Wang, Yunze Wang, Silin Chen, Ming Liu, Junyu Liu, Xinyuan Song, Riyang Bao, Zekun Jiang, Ziyuan Qin

arXiv preprint

2024

From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice

Qian Niu, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Lawrence KQ Yan, Yichao Zhang, Caitlyn Heqi Yin, Cheng Fei, Junyu Liu, Tianyang Wang, Yunze Wang, Silin Chen, Ming Liu, Benji Peng, Xinyuan Song, Ziyuan Qin, Riyang Bao, Zekun Jiang

arXiv preprint

2024

MealRec$^+$: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness

Ming Li, Lin Li, Xiaohui Tao, Jimmy Xiangji Huang

arXiv preprint

2024

Multimodal Laryngoscopic Video Analysis for Assisted Diagnosis of Vocal Fold Paralysis

Yucong Zhang, Xin Zou, Jinshan Yang, Wenjun Chen, Juan Liu, Faya Liang, Ming Li

arXiv preprint

DOI

2024

From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare

Ming Li, Pengcheng Xu, Junjie Hu, Zeyu Tang, Guang Yang

arXiv preprint

2024

Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations

Ming Li, Wei Shen, Qingli Li, Yan Wang

arXiv preprint

2023

ColonNeRF: High-Fidelity Neural Reconstruction of Long Colonoscopy

Yufei Shi, Beijia Lu, Jia-Wei Liu, Ming Li, Mike Zheng Shou

arXiv preprint

2023

SdCT-GAN: Reconstructing CT from Biplanar X-Rays with Self-driven Generative Adversarial Networks

Shuangqin Cheng, Qingliang Chen, Qiyi Zhang, Ming Li, Yamuhanmode Alike, Kaile Su, Pengcheng Wen

arXiv preprint

2023

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data

Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang

arXiv preprint

2023

Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation

Ming Li, Guang Yang

arXiv preprint

2023

Data-Free Distillation Improves Efficiency and Privacy in Federated Thorax Disease Analysis

Ming Li, Guang Yang

arXiv preprint

2022

Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels

Ming Li, Yingying Fang, Zeyu Tang, Chibudom Onuorah, Jun Xia, Javier Del Ser, Simon Walsh, Guang Yang

arXiv preprint

2020

Personalized workflow to identify optimal T-cell epitopes for peptide-based vaccines against COVID-19

Rui Qiao, Ngoc Hieu Tran, Baozhen Shan, Ali Ghodsi, Ming Li

arXiv preprint

2020

PointIso: Point Cloud Based Deep Learning Model for Detecting Arbitrary-Precision Peptide Features in LC-MS Map through Attention Based Segmentation

Fatema Tuz Zohora, M Ziaur Rahman, Ngoc Hieu Tran, Lei Xin, Baozhen Shan, Ming Li

arXiv preprint

2020

MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes

Yilin Chen, Ming Li, Yongfei Wu, Xueyu Liu, Fang Hao, Daoxiang Zhou, Xiaoshuang Zhou, Chen Wang

arXiv preprint

2020

Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units

Fernando Andreotti, Frank S. Heldt, Basel Abu-Jamous, Ming Li, Avelino Javer, Oliver Carr, Stojan Jovanovic, Nadezda Lipunova, Benjamin Irving, Rabia T. Khan, Robert Dürichen

arXiv preprint

2019

Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising

Yu Gong, Hongming Shan, Yueyang Teng, Ning Tu, Ming Li, Guodong Liang, Ge Wang, Shanshan Wang

arXiv preprint

DOI

2019

Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation

Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li

arXiv preprint

研究方向

医疗健康大数据分析人工智能

此主页由公开资料整理，尚未经学者本人认领。