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Toward Improving Engagement in Neural Rehabilitation: Attention Enhancement Based on Brain-Computer Interface and Audiovisual Feedback 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2020, 卷号: 12, 期号: 4, 页码: 787-796
作者:  Wang, Jiaxing;  Wang, Weiqun;  Hou, Zeng-Guang
Adobe PDF(2031Kb)  |  收藏  |  浏览/下载：338/73  |  提交时间：2021/03/02
Avatars  Electroencephalography  Training  Games  Real-time systems  Task analysis  Stroke (medical condition)  Attention enhancement  brain–  computer interface (BCI)  electroencephalogram (EEG)  neural rehabilitation  virtual reality  
Amplitude spectrum trend-based feature for excitation location classification from snore sounds 期刊论文
PHYSIOLOGICAL MEASUREMENT, 2020, 卷号: 41, 期号: 8, 页码: 13
作者:  Sun, Jingpeng;  Hu, Xiyuan;  Chen, Chen;  Peng, Silong;  Ma, Yan
Adobe PDF(1259Kb)  |  收藏  |  浏览/下载：365/67  |  提交时间：2021/01/07
amplitude trend  signal decomposition  null space pursuit  snore classification  OSA  
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 132, 页码: 8
作者:  Sun, Rui-Jia;  Fang, Meng-Jie;  Tang, Lei;  Li, Xiao-Ting;  Lu, Qiao-Yuan;  Dong, Di;  Tian, Jie;  Sun, Ying-Shi
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：342/61  |  提交时间：2021/01/06
Stomach neoplasms  Multi-detector computed tomography  Radiomics  Deep learning  
Towards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-Angle Feature Aggregation and Contour Supervision 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 卷号: 5, 期号: 4, 页码: 6639-6646
作者:  Qin, Fangbo;  Lin, Shan;  Li, Yangming;  Bly, Randall A.;  Moe, Kris S.;  Hannaford, Blake
收藏  |  浏览/下载：211/0  |  提交时间：2020/12/04
Computer vision for medical robotics  medical robots and systems  deep learning for visual perception  object detection  segmentation and categorization  
A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study 期刊论文
EBIOMEDICINE, 2020, 卷号: 58, 页码: 11
作者:  Zhang, Jing;  Yao, Kuan;  Liu, Panpan;  Liu, Zhenyu;  Han, Tao;  Zhao, Zhiyong;  Cao, Yuntai;  Zhang, Guojin;  Zhang, Junting;  Tian, Jie;  Zhou, Junlin
收藏  |  浏览/下载：242/0  |  提交时间：2020/12/04
Meningioma  Brain invasion  Radiomics  Magnetic resonance images  
A Deep Learning Risk Prediction Model for Overall Survival in Patients with Gastric Cancer: A Multicenter Study 期刊论文
Radiotherapy and oncology, 2020, 卷号: 150, 期号: 1, 页码: 73-80
作者:  Zhang, Liwen;  Dong, Di;  Zhang, Wenjuan;  Hao, Xiaohan;  Fang, Mengjie;  Wang, Shuo;  Li, Wuchao;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
浏览  |  Adobe PDF(1185Kb)  |  收藏  |  浏览/下载：284/65  |  提交时间：2020/10/25
Gastric Cancer  
Prediction of clinically relevant Pancreatico-enteric Anastomotic Fistulas after Pancreatoduodenectomy using deep learning of Preoperative Computed Tomography 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 21, 页码: 9779-9788
作者:  Mu, Wei;  Liu, Chang;  Gao, Feng;  Qi, Yafei;  Lu, Hong;  Liu, Zaiyi;  Zhang, Xianyi;  Cai, Xiaoli;  Ji, Ruo Yun;  Hou, Yang;  Tian, Jie;  Shi, Yu
收藏  |  浏览/下载：223/0  |  提交时间：2020/09/21
Pancreatic fistula  fistula risk score  pancreatoduodenectomy  computed tomography (CT)  deep learning  
Deep Learning Radiomics Based on Contrast-Enhanced Ultrasound Might Optimize Curative Treatments for Very-Early or Early-Stage Hepatocellular Carcinoma Patients 期刊论文
LIVER CANCER, 2020, 卷号: 9, 期号: 4, 页码: 397-413
作者:  Liu, Fei;  Liu, Dan;  Wang, Kun;  Xie, Xiaohua;  Su, Liya;  Kuang, Ming;  Huang, Guangliang;  Peng, Baogang;  Wang, Yuqi;  Lin, Manxia;  Tian, Jie;  Xie, Xiaoyan
浏览  |  Adobe PDF(1066Kb)  |  收藏  |  浏览/下载：408/105  |  提交时间：2020/09/07
Contrast-enhanced ultrasound  Hepatocellular carcinoma  Radiomics  Radiofrequency ablation  Surgical resection  
Radiomics in liver diseases: Current progress and future opportunities 期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
作者:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  收藏  |  浏览/下载：503/137  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study 期刊论文
ANNALS OF ONCOLOGY, 2020, 卷号: 31, 期号: 7, 页码: 912-920
作者:  Dong, Di;  Fang, Mengjie;  Tang, Lei;  Shan, Xiuhong;  Gao, Jianbo;  Giganti, Francesco;  Wang, Rongpin;  Chen, Xin;  Wang, Xiaoxiao;  Palumbo, Diego;  Fu, Jia;  Li, Wuchao;  Li, Jing;  Zhong, Lianzhen;  De Cobelli, Francesco;  Ji, Jiafu;  Liu, Zaiyi;  Tian, Jie
浏览  |  Adobe PDF(2209Kb)  |  收藏  |  浏览/下载：441/71  |  提交时间：2020/07/20
deep learning  locally advanced gastric cancer  lymph node metastasis  radiomic nomogram