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Structural and Functional Brain Abnormalities in Human Immunodeficiency Virus Disease Revealed by Multimodal Magnetic Resonance Imaging Fusion: Association With Cognitive Functio 期刊论文
Clinical Infectious Diseases, 2021, 卷号: 73, 期号: 7, 页码: e2287–93
作者:  Sui Jing;  Li Xiang;  Bell Ryan;  Towe Sheri;  Gadde Syam;  Chen Nan-kuei;  Meade Christina
Adobe PDF(1246Kb)  |  收藏  |  浏览/下载：145/41  |  提交时间：2023/05/16
Exploring node interaction relationship in complex networks by using high-frequency signal injection 期刊论文
Phys. Rev. E., 2021, 页码: 022317
作者:  X. Wang;  Z. Zhang;  H. Li;  Chen Y(陈阳);  Y. Mi;  G. Hu
Adobe PDF(3559Kb)  |  收藏  |  浏览/下载：184/42  |  提交时间：2023/05/04
Learning pose-invariant 3D object reconstruction from single-view images 期刊论文
Neurocomputing, 2021, 卷号: 423, 页码: 407-418
作者:  Bo Peng;  Wei Wang;  Jing Dong;  Tieniu Tan
Adobe PDF(2589Kb)  |  收藏  |  浏览/下载：158/60  |  提交时间：2023/04/26
Learning 3D shape, Single view supervision, Domain confusion, Adversarial learning  
Constructing public health evidence knowledge graph for decision-making support from COVID-19 literature of modelling study 期刊论文
Journal of Safety Science and Resilience, 2021, 页码: 146-156
作者:  Yang YR(杨芸榕);  Zhidong Cao;  Pengfei Zhao;  Dajun Daniel Zeng;  Qingpeng Zhang;  Yin Luo
Adobe PDF(3473Kb)  |  收藏  |  浏览/下载：217/54  |  提交时间：2022/06/30
CT-based radiomics to predict development of macrovascular invasion in hepatocellular carcinoma: A multicenter study 期刊论文
Hepatobiliary & Pancreatic Diseases International, 2021, 卷号: 2021, 期号: --, 页码: --
作者:  Jingwei Wei;  Sirui Fu;  Jie Zhang;  Dongsheng Gu;  Xiaoqun Li;  Xudong Chen;  Shuaitong Zhang;  Xiaofei He;  Jianfeng Yan;  Ligong Lu;  Jie Tian
Adobe PDF(1564Kb)  |  收藏  |  浏览/下载：207/50  |  提交时间：2022/04/06
Computed tomography  Hepatocellular carcinoma  Macrovascular invasion  Prognosis  Radiomics  
Mix Contrast for COVID-19 Mild-to-Critical Prediction 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3725-3736
作者:  Zhu, Yongbei;  Wang, Shuo;  Wang, Siwen;  Wu, Qingxia;  Wang, Liusu;  Li, Hongjun;  Wang, Meiyun;  Niu, Meng;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3534Kb)  |  收藏  |  浏览/下载：302/57  |  提交时间：2021/12/28
Coronavirus disease 2019 (COVID-19)  contrastive learning  computed tomography  mixup  prognosis  
Intraoperative near-infrared II window fluorescence imaging-assisted nephron-sparing surgery for complete resection of cystic renal masses 期刊论文
CLINICAL AND TRANSLATIONAL MEDICINE, 2021, 卷号: 11, 期号: 10, 页码: 5
作者:  Cao, Caiguang;  Deng, Shaohui;  Wang, Binshuai;  Shi, Xiaojing;  Ge, Liyuan;  Qiu, Min;  Zhang, Fan;  Lu, Min;  Ma, Lulin;  Chi, Chongwei;  Hu, Zhenhua;  Tian, Jie;  Zhang, Shudong
Adobe PDF(3739Kb)  |  收藏  |  浏览/下载：339/53  |  提交时间：2021/12/28
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：352/70  |  提交时间：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：302/55  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914
作者:  Isaac Baffour Senkyire;  Zhe Liu
Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：252/53  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning