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MRI-derived radiomics models for diagnosis, aggressiveness, and prognosis evaluation in prostate cancer 期刊论文
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B, 2023, 卷号: 24, 期号: 8, 页码: 663-681
作者:  Zhu, Xuehua;  Shao, Lizhi;  Liu, Zhenyu;  Liu, Zenan;  He, Jide;  Liu, Jiangang;  Ping, Hao;  Lu, Jian
收藏  |  浏览/下载：93/0  |  提交时间：2023/11/17
Magnetic resonance imaging (MRI)  Radiomics  Prostate cancer  Predictive model  
Excitation-based fully connected network for precise NIR-II fluorescence molecular tomography 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 12, 页码: 6284-6299
作者:  Cao, Caiguang;  Xiao, Anqi;  Cai, Meishan;  Shen, Biluo;  Guo, Lishuang;  Shi, Xiaojing;  Tian, Jie;  Hu, Zhenhua
Adobe PDF(6713Kb)  |  收藏  |  浏览/下载：288/49  |  提交时间：2023/03/20
Driving brain state transitions in major depressive disorder through external stimulation 期刊论文
Human Brain Mapping, 2022, 卷号: 43, 期号: 17, 页码: 5326-5339
作者:  Shengpei Wang;  Hongwei Wen;  Shuang Qiu;  Peng Xie;  Jiang Qiu;  Huiguang He
Adobe PDF(3245Kb)  |  收藏  |  浏览/下载：209/65  |  提交时间：2023/01/17
The Detection of Divalent Iron and Reactive Oxygen Species During Ferroptosis with the Use of a Dual-Reaction Turn-On Fluorescent Probe 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2022, 页码: 12
作者:  Wang, Yueqi;  Li, Changjian;  Zhuo, Jiaming;  Hui, Hui;  Zhou, Bing;  Tian, Jie
Adobe PDF(1924Kb)  |  收藏  |  浏览/下载：313/90  |  提交时间：2022/11/14
Dual-reaction  Fe(II)  Ferroptosis  Fluorescent probes  ROS  Turn-on response  
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk 期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
作者:  He, Bing-Xi;  Zhong, Yi-Fan;  Zhu, Yong-Bei;  Deng, Jia-Jun;  Fang, Meng-Jie;  She, Yun-Lang;  Wang, Ting-Ting;  Yang, Yang;  Sun, Xi-Wen;  Belluomini, Lorenzo;  Watanabe, Satoshi;  Dong, Di;  Tian, Jie;  Xie, Dong
Adobe PDF(3742Kb)  |  收藏  |  浏览/下载：301/38  |  提交时间：2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
Trans-ResNet: Integrating Transformers and CNNs for Alzheimer's disease classification 会议论文
, 印度，加尔各答, 2022-3-28
作者:  Li C(李超);  Cui Y(崔玥);  Luo N(罗娜);  Liu Y(刘勇);  Bourgeat Pierrick;  Fripp Jurgen;  Jiang TZ(蒋田仔)
Adobe PDF(3989Kb)  |  收藏  |  浏览/下载：220/27  |  提交时间：2022/06/23
convolutional neural network  deep learning  structural MRI  transfer learning  Transformer  
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：356/79  |  提交时间：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
TR-GAN: Multi-session future MRI prediction with temporal recurrent generative adversarial network 期刊论文
IEEE Transactions on Medical Imaging, 2022, 卷号: vol. 41, 期号: no. 8, 页码: 1925-1937
作者:  Fan, Chen-Chen;  Peng, Liang;  Wang, Tian;  Yang, Hongjun;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Wang, Guan’an;  Chen, Sheng;  Zhou, Yan-Jie;  Hou, Zeng-Guang
Adobe PDF(11092Kb)  |  收藏  |  浏览/下载：192/17  |  提交时间：2023/06/02
Alzheimer’s disease  magnetic resonance imaging  generative adversarial network  
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载：285/55  |  提交时间：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
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
作者:  Rahman, Md Habibur;  Rana, Humayan Kabir;  Peng, Silong;  Hu, Xiyuan;  Chen, Chen;  Quinn, Julian M. W.;  Moni, Mohammad Ali
收藏  |  浏览/下载：201/0  |  提交时间：2021/12/28
bioinformatics  machine learning  central nervous system disorders  glioblastoma  comorbidity  pathway  ontology  proteins  survival analysis