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Generative Adversarial Networks Improve the Reproducibility and Discriminative Power of Radiomic Features.生成对抗网络提高了放射组学特征的可重复性和判别力。
Radiol Artif Intell. 2020 May 27;2(3):e190035. doi: 10.1148/ryai.2020190035. eCollection 2020 May.
2
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization.基于分割归一化的深度特征调制在非配对图像匀色中的应用
IEEE Trans Med Imaging. 2021 Jun;40(6):1519-1530. doi: 10.1109/TMI.2021.3059726. Epub 2021 Jun 1.
3
Neuroimaging Biomarkers in Schizophrenia.精神分裂症的神经影像学标志物。
Am J Psychiatry. 2021 Jun;178(6):509-521. doi: 10.1176/appi.ajp.2020.20030340. Epub 2021 Jan 5.
4
Baseline structural and functional magnetic resonance imaging predicts early treatment response in schizophrenia with radiomics strategy.基于结构和功能磁共振的影像组学策略可预测精神分裂症的早期治疗反应。
Eur J Neurosci. 2021 Mar;53(6):1961-1975. doi: 10.1111/ejn.15046. Epub 2020 Dec 24.
5
Integration of brain and behavior measures for identification of data-driven groups cutting across children with ASD, ADHD, or OCD.整合大脑与行为测量以识别跨越自闭症谱系障碍、注意力缺陷多动障碍或强迫症儿童的数据驱动型群体。
Neuropsychopharmacology. 2021 Feb;46(3):643-653. doi: 10.1038/s41386-020-00902-6. Epub 2020 Nov 9.
6
Magnetic Resonance Imaging-Based Connectomics in First-Episode Schizophrenia: From Preclinical Study to Clinical Translation.首发精神分裂症基于磁共振成像的连接组学：从临床前研究到临床转化
Front Psychiatry. 2020 Sep 11;11:565056. doi: 10.3389/fpsyt.2020.565056. eCollection 2020.
7
Differentiating patients with schizophrenia from healthy controls by hippocampal subfields using radiomics.利用放射组学区分精神分裂症患者和健康对照者的海马亚区。
Schizophr Res. 2020 Sep;223:337-344. doi: 10.1016/j.schres.2020.09.009. Epub 2020 Sep 26.
8
Neuroanatomical Features That Predict Response to Electroconvulsive Therapy Combined With Antipsychotics in Schizophrenia: A Magnetic Resonance Imaging Study Using Radiomics Strategy.预测精神分裂症患者对电休克治疗联合抗精神病药物反应的神经解剖学特征：一项使用放射组学策略的磁共振成像研究
Front Psychiatry. 2020 May 21;11:456. doi: 10.3389/fpsyt.2020.00456. eCollection 2020.
9
Inter-site harmonization based on dual generative adversarial networks for diffusion tensor imaging: application to neonatal white matter development.基于双生成对抗网络的弥散张量成像的站点间协调：在新生儿脑白质发育中的应用。
Biomed Eng Online. 2020 Jan 15;19(1):4. doi: 10.1186/s12938-020-0748-9.
10
Predicting response to electroconvulsive therapy combined with antipsychotics in schizophrenia using multi-parametric magnetic resonance imaging.使用多参数磁共振成像预测精神分裂症电抽搐治疗联合抗精神病药物的反应。
Schizophr Res. 2020 Feb;216:262-271. doi: 10.1016/j.schres.2019.11.046. Epub 2019 Dec 9.

Building the Precision Medicine for Mental Disorders via Radiomics/Machine Learning and Neuroimaging.

作者信息

Cui Long-Biao, Xu Xian, Cao Feng

机构信息

Department of Radiology, The Second Medical Center, Chinese PLA General Hospital, Beijing, China.

Department of Clinical Psychology, School of Medical Psychology, Fourth Military Medical University, Xi'an, China.

出版信息

Front Neurosci. 2021 Jun 15;15:685005. doi: 10.3389/fnins.2021.685005. eCollection 2021.

DOI:10.3389/fnins.2021.685005
PMID:34220441
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8250851/
Abstract
摘要