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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：14/0  |  提交时间：2024/07/03
schizophrenia identification  multimodal MRI  deep graph neural networks  image marker  gene analysis  
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：413/75  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma