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A multi-task two-path deep learning system for predicting the invasiveness of craniopharyngioma 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 216, 页码: 13
作者:  Zhu, Lin;  Zhang, Lingling;  Hu, Wenxing;  Chen, Haixu;  Li, Han;  Wei, Shoushui;  Chen, Xuzhu;  Ma, Xibo
收藏  |  浏览/下载：190/0  |  提交时间：2022/06/06
Craniopharyngioma  MRI Imaging  Deep learning  Invasiveness diagnosis  Lesion segmentation  
Application of Artificial Intelligence in Diagnosis of Craniopharyngioma 期刊论文
FRONTIERS IN NEUROLOGY, 2022, 卷号: 12, 页码: 16
作者:  Qin, Caijie;  Hu, Wenxing;  Wang, Xinsheng;  Ma, Xibo
收藏  |  浏览/下载：147/0  |  提交时间：2022/03/17
craniopharyngioma  tumor  diagnosis  machine learning  deep learning  
The manufacturing procedure of 3D printed models for endoscopic endonasal transsphenoidal pituitary surgery 期刊论文
TECHNOLOGY AND HEALTH CARE, 2020, 卷号: 28, 页码: S131-S150
作者:  Shen, Zhen;  Xie, Yi;  Shang, Xiuqin;  Xiong, Gang;  Chen, Shi;  Yao, Yong;  Pan, Zhouxian;  Pan, Hui;  Dong, Xisong;  Li, Yuqing;  Guo, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：262/0  |  提交时间：2020/08/03
Endoscopic endonasal transsphenoidal pituitary surgery  3D printing  surgery simulation  pituitary tumor  
The manufacturing procedure of 3D printed models for endoscopic endonasal transsphenoidal pituitary surgery 期刊论文
Technology and Health Care, 2020, 期号: 13, 页码: 131-150
作者:  Shen Z(沈震);  Xie Y;  Shang XQ;  Xiong G;  Chen S;  Yao Y;  Pan ZX;  Pan H;  Dong XS;  Li YQ;  Guo C;  Wang F-Y
收藏  |  浏览/下载：130/0  |  提交时间：2020/11/05
Endoscopic endonasal transsphenoidal pituitary surgery  3D printing  surgery simulation  pituitary tumor  
Multiparametric MRI-Based Radiomics for Prostate Cancer Screening With PSA in 4-10 ng/mL to Reduce Unnecessary Biopsies 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2019, 期号: ０, 页码: 10
作者:  Qi, Yafei;  Zhang, Shuaitong;  Wei, Jingwei;  Zhang, Gumuyang;  Lei, Jing;  Yan, Weigang;  Xiao, Yu;  Yan, Shuang;  Xue, Huadan;  Feng, Feng;  Sun, Hao;  Tian, Jie;  Jin, Zhengyu
浏览  |  Adobe PDF(990Kb)  |  收藏  |  浏览/下载：412/97  |  提交时间：2020/03/30
magnetic resonance imaging  radiomics  prostate cancer  prostate-specific antigen  biopsy  
The process of 3D printed skull models for anatomy education 期刊论文
COMPUTER ASSISTED SURGERY, 2019, 卷号: 24, 页码: 121-130
作者:  Shen, Zhen;  Yao, Yong;  Xie, Yi;  Guo, Chao;  Shang, Xiuqin;  Dong, Xisong;  Li, Yuqing;  Pan, Zhouxian;  Chen, Shi;  Xiong, Gang;  Wang, Fei-Yue;  Pan, Hui
浏览  |  Adobe PDF(1335Kb)  |  收藏  |  浏览/下载：350/103  |  提交时间：2019/10/10
Skull model  3D printing  Anatomy education  
Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 3, 页码: 1625-1634
作者:  Niu, Jianxing;  Zhang, Shuaitong;  Ma, Shunchang;  Diao, Jinfu;  Zhou, Wenjianlong;  Tian, Jie;  Zang, Yali;  Jia, Wang
浏览  |  Adobe PDF(1261Kb)  |  收藏  |  浏览/下载：362/75  |  提交时间：2019/07/12
Pituitary adenomas  Cavernous sinus  Neoplasm invasion  Nomogram  Support vector machine  
Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery 期刊论文
EUROPEAN RADIOLOGY, EUROPEAN RADIOLOGY, 2018, 2018, 卷号: 28, 28, 期号: 9, 页码: 3692-3701, 3692-3701
作者:  Zhang, Shuaitong;  Song, Guidong;  Zang, Yali;  Jia, Jian;  Wang, Chao;  Li, Chuzhong;  Tian, Jie;  Dong, Di;  Zhang, Yazhuo
浏览  |  Adobe PDF(1222Kb)  |  收藏  |  浏览/下载：343/68  |  提交时间：2018/10/10
Non-functioning Pituitary Adenomas  Null Cell Adenomas  Radiomics  Support Vector Machine  Nomograms  Non-functioning Pituitary Adenomas  Null Cell Adenomas  Radiomics  Support Vector Machine  Nomograms  
Glioma-targeted imaging and therapy by Y1 receptors ligands stabilized nanomicelles across the blood brain barrier 期刊论文
Nanoscale, 2018, 卷号: 10, 期号: 13, 页码: 5845-5851
作者:  Li Juan;  Du Yang;  Jiang zhengqi;  Tian Yuchen;  Qiu Nianxiang;  Wang yinjie;  Muhammad Zubair lqbal;  Hu Menying;  Zou Ruifen;  Luo Lijia;  Du Shiyu;  Tian Jie;  Wu aiguo
Adobe PDF(2231Kb)  |  收藏  |  浏览/下载：240/73  |  提交时间：2019/02/18
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Discriminating Bipolar Disorder From Major Depression Based on SVM-FoBa: Efficient Feature Selection With Multimodal Brain Imaging Data 期刊论文
IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT, 2015, 卷号: 7, 期号: 4, 页码: 320-331
作者:  Jie, Nan-Feng;  Zhu, Mao-Hu;  Ma, Xiao-Ying;  Osuch, Elizabeth A.;  Wammes, Michael;  Theberge, Jean;  Li, Huan-Dong;  Zhang, Yu;  Jiang, Tian-Zi;  Sui, Jing;  Calhoun, Vince D.
Adobe PDF(1662Kb)  |  收藏  |  浏览/下载：361/65  |  提交时间：2016/01/22
Bipolar Disorder  Classification  Feature Selection  Major Depression  Multimodal Fusion