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Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder 期刊论文
BRAIN CONNECTIVITY, 2021, 卷号: 11, 期号: 10, 页码: 838-849
作者:  Sendi, Mohammad S. E.;  Zendehrouh, Elaheh;  Sui, Jing;  Fu, Zening;  Zhi, Dongmei;  Lv, Luxian;  Ma, Xiaohong;  Ke, Qing;  Li, Xianbin;  Wang, Chuanyue;  Abbott, Christopher C.;  Turner, Jessica A.;  Miller, Robyn L.;  Calhoun, Vince D.
收藏  |  浏览/下载：224/0  |  提交时间：2022/06/06
default mode network  dynamic functional network connectivity  machine learning  major depressive disorder  resting-state functional magnetic resonance imaging  
Brain imaging-based machine learning in autism spectrum disorder: methods and applications 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2021, 卷号: 361, 页码: 14
作者:  Xu, Ming;  Calhoun, Vince;  Jiang, Rongtao;  Yan, Weizheng;  Sui, Jing
收藏  |  浏览/下载：257/0  |  提交时间：2021/11/02
Autism spectrum disorder (ASD)  Machine learning  Classification  Prediction  fMRI  sMRI  dMRI  
Commissioning and clinical implementation of an Autoencoder based Classification-Regression model for VMAT patient-specific QA in a multi-institution scenario 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2021, 卷号: 161, 期号: 10.1016/j.radonc.2021.06.024, 页码: 230-240
作者:  Yang, Ruijie;  Yang, Xueying;  Wang, Le;  Li, Dingjie;  Guo, Yuexin;  Li, Ying;  Guan, Yumin;  Wu, Xiangyang;  Xu, Shouping;  Zhang, Shuming;  Chan, Maria F.;  Geng, Lisheng;  Sui, Jing
Adobe PDF(2840Kb)  |  收藏  |  浏览/下载：330/55  |  提交时间：2021/11/02
Machine learning  VMAT patient-specific QA  Multi-institution validation  Commissioning  Clinical implementation  
Quantitative Radiomic Features as New Biomarkers for Alzheimer's Disease: An Amyloid PET Study 期刊论文
CEREBRAL CORTEX, 2021, 卷号: 31, 期号: 8, 页码: 3950-3961
作者:  Ding, Yanhui;  Zhao, Kun;  Che, Tongtong;  Du, Kai;  Sun, Hongzan;  Liu, Shu;  Zheng, Yuanjie;  Li, Shuyu;  Liu, Bing;  Liu, Yong
收藏  |  浏览/下载：198/0  |  提交时间：2021/11/02
Alzheimer's disease  biomarker  machine learning  prediction  quantitative radiomic features  
Multisite schizophrenia classification by integrating structural magnetic resonance imaging data with polygenic risk score 期刊论文
NEUROIMAGE-CLINICAL, 2021, 卷号: 32, 页码: 9
作者:  Hu, Ke;  Wang, Meng;  Liu, Yong;  Yan, Hao;  Song, Ming;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Yang, Yongfeng;  Li, Peng;  Lu, Lin;  Yan, Jun;  Wang, Huiling;  Zhang, Hongxing;  Zhang, Dai;  Wu, Huawang;  Ning, Yuping;  Jiang, Tianzi;  Liu, Bing
收藏  |  浏览/下载：186/0  |  提交时间：2021/12/28
Schizophrenia  Classification  Structural magnetic resonance imaging  Gray matter volume  Polygenic risk score  Machine learning  
Machine Learning for Patient-Specific Quality Assurance of VMAT: Prediction and Classification Accuracy 期刊论文
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2019, 卷号: 105, 期号: 4, 页码: 893-902
作者:  Li, Jiaqi;  Wang, Le;  Zhang, Xile;  Liu, Lu;  Li, Jun;  Chan, Maria F.;  Sui, Jing;  Yang, Ruijie
Adobe PDF(1690Kb)  |  收藏  |  浏览/下载：273/35  |  提交时间：2019/09/30
VMAT  Machine Learning  Patient-Specific Quality Assurance  
Complexity in mood disorder diagnosis: fMRI connectivity networks predicted medication-class of response in complex patients 期刊论文
ACTA PSYCHIATRICA SCANDINAVICA, 2018, 卷号: 138, 期号: 5, 页码: 472-482
作者:  Osuch, E.;  Gao, S.;  Wammes, M.;  Theberge, J.;  Willimason, P.;  Neufeld, R. J.;  Du, Y.;  Sui, J.;  Calhoun, V.
浏览  |  Adobe PDF(1446Kb)  |  收藏  |  浏览/下载：444/54  |  提交时间：2019/01/08
mood disorders  bipolar disorder  functional neuroimaging  machine learning  differential diagnosis  
Machine learning in major depression: From classification to treatment outcome prediction 期刊论文
CNS NEUROSCIENCE & THERAPEUTICS, 2018, 卷号: 24, 期号: 11, 页码: 1037-1052
作者:  Gao, Shuang;  Calhoun, Vince D.;  Sui, Jing
浏览  |  Adobe PDF(1954Kb)  |  收藏  |  浏览/下载：301/58  |  提交时间：2019/01/08
classification  machine learning  magnetic resonance imaging  major depressive disorder  review  
Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 7, 页码: 2960-2968
作者:  Li, Yiming;  Liu, Xing;  Qian, Zenghui;  Sun, Zhiyan;  Xu, Kaibin;  Wang, Kai;  Fan, Xing;  Zhang, Zhong;  Li, Shaowu;  Wang, Yinyan;  Jiang, Tao
收藏  |  浏览/下载：185/0  |  提交时间：2018/10/10
Magnetic Resonance Imaging  Genetics  Biomarkers  Glioma  Machine Learning  
MRI features predict p53 status in lower-grade gliomas via a machine-learning approach 期刊论文
NEUROIMAGE-CLINICAL, 2018, 卷号: 17, 页码: 306-311
作者:  Li, Yiming;  Qian, Zenghui;  Xu, Kaibin;  Wang, Kai;  Fan, Xing;  Li, Shaowu;  Jiang, Tao;  Liu, Xing;  Wang, Yinyan
收藏  |  浏览/下载：137/0  |  提交时间：2018/10/10
P53  Lower-grade Gliomas  Radiogenomics  Prediction  Machine Learning