EDITORIAL
Published on 13 Apr 2022
Editorial: Improving Diagnosis, Treatment, and Prognosis of Neuropsychiatric Disorders by Leveraging Neuroimaging-based Machine Learning
doi 10.3389/fnins.2022.891337
- 1,074 views
- 1 citation
- Frontiers in Neuroscience
- Brain Imaging Methods
- Research Topics
- Improving Diagnosis, Treatment, and Prognosis of Neuropsychiatric Disorders by Leveraging Neuroimaging-based Machine Learning
Improving Diagnosis, Treatment, and Prognosis of Neuropsychiatric Disorders by Leveraging Neuroimaging-based Machine Learning
31k
Total downloads
132k
Total views and downloads
Submit your idea
Select the journal/section where you want your idea to be submitted:
Articles
ORIGINAL RESEARCH
Published on 16 Feb 2022
MRI-Based Classification of Neuropsychiatric Systemic Lupus Erythematosus Patients With Self-Supervised Contrastive Learning
doi 10.3389/fnins.2022.695888
- 3,712 views
- 8 citations
ORIGINAL RESEARCH
Published on 27 Sep 2021
Applying Deep Learning to Accelerated Clinical Brain Magnetic Resonance Imaging for Multiple Sclerosis
doi 10.3389/fneur.2021.685276
- 3,149 views
- 16 citations
REVIEW
Published on 15 Sep 2021
Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A Review
doi 10.3389/fnins.2021.697870
- 14,967 views
- 46 citations
ORIGINAL RESEARCH
Published on 17 Jun 2021
Identifying Internet Addiction and Evaluating the Efficacy of Treatment Based on Functional Connectivity Density: A Machine Learning Study
doi 10.3389/fnins.2021.665578
- 4,520 views
- 13 citations
ORIGINAL RESEARCH
Published on 31 Mar 2021
Atrophy in the Left Amygdala Predicted Drug Responses in Idiopathic Generalized Epilepsy Patients With Tonic–Clonic Seizures
doi 10.3389/fnins.2021.640016
- 2,117 views
- 7 citations
ORIGINAL RESEARCH
Published on 19 Feb 2021
Neuroimage Biomarker Identification of the Conversion of Mild Cognitive Impairment to Alzheimer’s Disease
doi 10.3389/fnins.2021.584641
- 3,998 views
- 10 citations
ORIGINAL RESEARCH
Published on 11 Jan 2021
Machine Learning-Based Identification of Suicidal Risk in Patients With Schizophrenia Using Multi-Level Resting-State fMRI Features
doi 10.3389/fnins.2020.605697
- 4,899 views
- 20 citations
ORIGINAL RESEARCH
Published on 11 Jan 2021
Less Is Better: Single-Digit Brain Functional Connections Predict T2DM and T2DM-Induced Cognitive Impairment
doi 10.3389/fnins.2020.588684
- 2,910 views
- 10 citations
ORIGINAL RESEARCH
Published on 10 Dec 2020
Antipsychotic Effects on Cortical Morphology in Schizophrenia and Bipolar Disorders
doi 10.3389/fnins.2020.579139
- 4,006 views
- 4 citations
ORIGINAL RESEARCH
Published on 23 Nov 2020
Functional Connectivity Combined With a Machine Learning Algorithm Can Classify High-Risk First-Degree Relatives of Patients With Schizophrenia and Identify Correlates of Cognitive Impairments
doi 10.3389/fnins.2020.577568
- 2,214 views
- 12 citations
ORIGINAL RESEARCH
Published on 20 Oct 2020
Using Minimal-Redundant and Maximal-Relevant Whole-Brain Functional Connectivity to Classify Bipolar Disorder
doi 10.3389/fnins.2020.563368
- 2,613 views
- 9 citations
Published in
Frontiers in Neuroscience
- Brain Imaging Methods
Participating Journals
Frontiers in Neuroimaging
Frontiers in Neurology
- Applied Neuroimaging
Brain Imaging MethodsOffline
- 2.7 impact factor
- 4.9 citescore
Frontiers in Psychiatry
- 3.2 impact factor
- 6.2 citescore
Impact
- 132kTopic views
- 98kArticle views
- 31kArticle downloads