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Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 859-876
Authors:  Ahmad Chaddad;  Qizong Lu;  Jiali Li;  Yousef Katib;  Reem Kateb;  Camel Tanougast;  Ahmed Bouridane;  Ahmed Abdulkadir
Adobe PDF(6028Kb)  |  Favorite  |  View/Download：4/1  |  Submit date：2023/03/22
Domain adaptation  explainable artificial intelligence  federated learning  
基于深度神经网络结构搜索的术中脑胶质瘤诊断方法研究 学位论文
工程硕士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  沈碧螺
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脑胶质瘤  深度学习  近红外二区荧光成像  术中病理  网络架构搜索  
新型荧光分子成像用于胶质瘤手术导航的研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  史小静
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激发荧光分子成像  断层成像  手术导航  契伦科夫光学成像  近红外二区荧光成像  
基于CT影像组学的胃癌TNM分期预测算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  方梦捷
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影像组学  深度学习  胃癌  TNM 分期  计算机断层扫描  
基于图网络的脑胶质瘤激发荧光断层重建算法研究 学位论文
, 中国科学院自动化所: 中国科学院自动化所, 2022
Authors:  王宇
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图网络  激发荧光断层重建  
A novel co-targeting strategy of EGFR/SEC61G for multi-modality fluorescence/MR/photoacoustic imaging of glioblastoma 期刊论文
NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE, 2022, 卷号: 40, 页码: 11
Authors:  Huang, Qi;  Wang, Kun;  Wanggou, Siyi;  Tian, Jie;  Li, Xuejun
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Glioblastoma  Multi-modality  Molecular imaging  Dual-target  Theranostic  
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
Authors:  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
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chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
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
Authors:  Xiaojing Shi;  Zhe Zhang;  Zeyu Zhang;  Caiguang Cao;  Zhen Cheng;  Zhenhua Hu;  Jie Tian;  Nan Ji
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fluorescence image-guided surgery  glioblastoma  ICG  NIR-II  
Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2021, 卷号: 22, 期号: 5, 页码: 23
Authors:  Rahman, Md Habibur;  Rana, Humayan Kabir;  Peng, Silong;  Hu, Xiyuan;  Chen, Chen;  Quinn, Julian M. W.;  Moni, Mohammad Ali
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bioinformatics  machine learning  central nervous system disorders  glioblastoma  comorbidity  pathway  ontology  proteins  survival analysis  
Deep Learning With Data Enhancement for the Differentiation of Solitary and Multiple Cerebral Glioblastoma, Lymphoma, and Tumefactive Demyelinating Lesion 期刊论文
FRONTIERS IN ONCOLOGY, 2021, 卷号: 11, 页码: 9
Authors:  Zhang, Yu;  Liang, Kewei;  He, Jiaqi;  Ma, He;  Chen, Hongyan;  Zheng, Fei;  Zhang, Lingling;  Wang, Xinsheng;  Ma, Xibo;  Chen, Xuzhu
Favorite  |  View/Download：78/0  |  Submit date：2021/11/03
glioblastoma  lymphoma  tumefactive demyelination  differential diagnosis  deep learning