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Tumor Mutation Burden-Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning 期刊论文
AMERICAN JOURNAL OF PATHOLOGY, 2023, 卷号: 193, 期号: 12, 页码: 2111-2121
作者:  Sun, Caixia;  Luo, Tao;  Liu, Zhenyu;  Ge, Jia;  Shao, Lizhi;  Liu, Xiangyu;  Li, Bao;  Zhang, Song;  Qiu, Qi;  Wei, Wei;  Wang, Shuo;  Bian, Xiu-Wu;  Tian, Jie
收藏  |  浏览/下载：61/0  |  提交时间：2024/02/22
Deep Penetrating and Sensitive Targeted Magnetic Particle Imaging and Photothermal Therapy of Early-Stage Glioblastoma Based on a Biomimetic Nanoplatform 期刊论文
ADVANCED SCIENCE, 2023, 页码: 11
作者:  Huang, Xiazi;  Hui, Hui;  Shang, Wenting;  Gao, Pengli;  Zhou, Yingying;  Pang, Weiran;  Woo, Chi Man;  Lai, Puxiang;  Tian, Jie
收藏  |  浏览/下载：104/0  |  提交时间：2023/11/17
biomimetic nanoplatform  brain-blood-barrier breaking  cancer diagnosis  glioblastoma multiforme  magnetic particle imaging  
Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 897-908
作者:  Gaoxiang Li;  Xiao Hui;  Wenjing Li;  Yanlin Luo
Adobe PDF(2873Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2024/04/23
Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge  
Unruptured brain arteriovenous malformations causing seizures localize to one common brain network 期刊论文
JOURNAL OF NEUROSCIENCE RESEARCH, 2022, 页码: 11
作者:  Zhao, Shao-Zhi;  Zhao, Yu-Xin;  Liao, Xiao-Hua;  Huo, Ran;  Li, Hao;  Jiao, Yu-Ming;  Weng, Jian-Cong;  Wang, Jie;  Liu, Bing;  Cao, Yong
Adobe PDF(1891Kb)  |  收藏  |  浏览/下载：215/39  |  提交时间：2022/12/27
brain arteriovenous malformations  lesion network mapping  seizures  voxel-based lesion-symptom mapping  
First Clinical Investigation of Near-Infrared Window IIa/IIb Fluorescence Imaging for Precise Surgical Resection of Gliomas 期刊论文
IEEE Transactions on Biomedical Engineering, 2022, 卷号: 69, 页码: 2404-2413
作者:  Caiguang Cao;  Zeping Jin;  Xiaojing Shi;  Zhe Zhang;  Anqi Xiao;  Junying Yang;  Nan Ji;  Jie Tian;  Zhenhua Hu
Adobe PDF(4444Kb)  |  收藏  |  浏览/下载：137/50  |  提交时间：2023/06/14
Near-Infrared Window II Fluorescence Image-Guided Surgery of High-Grade Gliomas Prolongs the Progression-Free Survival of Patients 期刊论文
IEEE Transactions on Biomedical Engineering, 2022, 卷号: 69, 期号: 6, 页码: 1889-1900
作者:  Xiaojing Shi;  Zhe Zhang;  Zeyu Zhang;  Caiguang Cao;  Zhen Cheng;  Zhenhua Hu;  Jie Tian;  Nan Ji
Adobe PDF(32138Kb)  |  收藏  |  浏览/下载：174/34  |  提交时间：2022/07/05
fluorescence image-guided surgery  glioblastoma  ICG  NIR-II  
Glioma Segmentation-Oriented Multi-Modal MR Image Fusion With Adversarial Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1528-1531
作者:  Yu Liu;  Yu Shi;  Fuhao Mu;  Juan Cheng;  Xun Chen
Adobe PDF(2574Kb)  |  收藏  |  浏览/下载：96/25  |  提交时间：2022/08/01
Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients 期刊论文
NPJ PRECISION ONCOLOGY, 2021, 卷号: 5, 期号: 1, 页码: 9
作者:  Yan, Jing;  Zhang, Bin;  Zhang, Shuaitong;  Cheng, Jingliang;  Liu, Xianzhi;  Wang, Weiwei;  Dong, Yuhao;  Zhang, Lu;  Mo, Xiaokai;  Chen, Qiuying;  Fang, Jin;  Wang, Fei;  Tian, Jie;  Zhang, Shuixing;  Zhang, Zhenyu
收藏  |  浏览/下载：205/0  |  提交时间：2021/11/02
Real-time intraoperative glioma diagnosis using fluorescence imaging and deep convolutional neural networks 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 卷号: 48, 期号: 11, 页码: 3482-3492
作者:  Shen, Biluo;  Zhang, Zhe;  Shi, Xiaojing;  Cao, Caiguang;  Zhang, Zeyu;  Hu, Zhenhua;  Ji, Nan;  Tian, Jie
Adobe PDF(1209Kb)  |  收藏  |  浏览/下载：345/62  |  提交时间：2021/05/17
Fluorescence imaging  Deep learning  Convolutional neural networks  Intraoperative pathology  Gliomas  
A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
Adobe PDF(4435Kb)  |  收藏  |  浏览/下载：179/34  |  提交时间：2021/06/16
molecular imaging, machine learning, artificial intelligence