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Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their Association With Cell-Type Specific Transcriptomic Features 期刊论文
SCHIZOPHRENIA BULLETIN, 2024, 页码: 19
作者:  Gao, Jingjing;  Qian, Maomin;  Wang, Zhengning;  Li, Yanling;  Luo, Na;  Xie, Sangma;  Shi, Weiyang;  Li, Peng;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Liu, Wenming;  Li, Zhigang;  Yang, Yongfeng;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Lu, Lin;  Yan, Jun;  Song, Yuqing;  Wang, Huiling;  Zhang, Hongxing;  Wu, Huawang;  Ning, Yuping;  Du, Yuhui;  Cheng, Yuqi;  Xu, Jian;  Xu, Xiufeng;  Zhang, Dai;  Jiang, Tianzai
收藏  |  浏览/下载：10/0  |  提交时间：2024/07/03
schizophrenia identification  multimodal MRI  deep graph neural networks  image marker  gene analysis  
Two-particle Debris Flow Simulation Based on SPH 期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-17
作者:  Zhang JX(张佳岫);  Yang M(杨猛);  Xiaomin Li;  Qunou Jiang;  Heng Zhang;  Meng WL(孟维亮)
Adobe PDF(4962Kb)  |  收藏  |  浏览/下载：37/15  |  提交时间：2024/06/04
debris flow  GPU acceleration  natural disaster simulation  SPH  
Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping 期刊论文
NATURE COMMUNICATIONS, 2024, 卷号: 15, 期号: 1, 页码: 16
作者:  Wei, Shiyuan;  Jiang, Anqi;  Sun, Hongji;  Zhu, Jingjun;  Jia, Shengyi;  Liu, Xiaojun;  Xu, Zheng;  Zhang, Jing;  Shang, Yuanyuan;  Fu, Xuefeng;  Li, Gen;  Wang, Puxin;  Xia, Zhiyuan;  Jiang, Tianzi;  Cao, Anyuan;  Duan, Xiaojie
收藏  |  浏览/下载：103/0  |  提交时间：2024/03/13
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer 期刊论文
MEDICAL PHYSICS, 2022, 页码: 12
作者:  Li, Cong;  Qin, Yun;  Zhang, Wei-Han;  Jiang, Hanyu;  Song, Bin;  Bashir, Mustafa R.;  Xu, Heng;  Duan, Ting;  Fang, Mengjie;  Zhong, Lianzhen;  Meng, Lingwei;  Dong, Di;  Hu, Zhenhua;  Tian, Jie;  Hu, Jian-Kun
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载：445/100  |  提交时间：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
Anterior-Posterior Hippocampal Dynamics Support Working Memory Processing 期刊论文
JOURNAL OF NEUROSCIENCE, 2022, 卷号: 42, 期号: 3, 页码: 443-453
作者:  Li, Jin;  Cao, Dan;  Dimakopoulos, Vasileios;  Shi, Weiyang;  Yu, Shan;  Fan, Lingzhong;  Stieglitz, Lennart;  Imbach, Lukas;  Sarnthein, Johannes;  Jiang, Tianzi
Adobe PDF(1902Kb)  |  收藏  |  浏览/下载：330/62  |  提交时间：2022/03/17
hippocampus  intracranial EEG  longitudinal axis  working memory  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：410/75  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images 期刊论文
Theranostics, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Tian, Panwen;  He, Bingxi;  Dong, Di;  Mu, Wei;  Liu, Kunqin;  Liu, Li;  Zeng, Hao;  Liu, Yujie;  Jiang, Lili;  Zhou, Ping;  Huang, Zhipei;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(1539Kb)  |  收藏  |  浏览/下载：324/126  |  提交时间：2020/10/25
PD-L1 expression  deep learning  computed tomography  immunotherapy  non-small cell lung cancer.  
Predicting the Type of Tumor-Related Epilepsy in Patients With Low-Grade Gliomas: A Radiomics Study 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 8
作者:  Wang, Yinyan;  Wei, Wei;  Liu, Zhenyu;  Liang, Yuchao;  Liu, Xing;  Li, Yiming;  Tang, Zhenchao;  Jiang, Tao;  Tian, Jie
收藏  |  浏览/下载：280/0  |  提交时间：2020/06/02
epilepsy type  low-grade gliomas  machine learning  radiomics  T2-weighted imaging  
Radiomics analysis enables recurrence prediction for hepatocellular carcinoma after liver transplantation 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 117, 页码: 33-40
作者:  Guo, Donghui;  Gu, Dongsheng;  Wang, Honghai;  Wei, Jingwei;  Wang, Zhenglu;  Hao, Xiaohan;  Ji, Qian;  Cao, Shunqi;  Song, Zhuolun;  Jiang, Jiabing;  Shen, Zhongyang;  Tian, Jie;  Zheng, Hong
收藏  |  浏览/下载：257/0  |  提交时间：2019/12/16
Artificial intelligence  Hepatocellular carcinoma  Liver transplantation  Recurrence