BRIEF RESEARCH REPORT
Published on 03 May 2024
Data leakage in deep learning studies of translational EEG
doi 10.3389/fnins.2024.1373515
- 1,441 views
- 8 citations
- Frontiers in Neuroscience
- Brain Imaging Methods
- Research Topics
- New Challenges and Future Perspectives of Artificial Intelligence in Neuroimaging Data Analysis
New Challenges and Future Perspectives of Artificial Intelligence in Neuroimaging Data Analysis
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ORIGINAL RESEARCH
Published on 08 Jan 2024
An interpretable machine learning model for stroke recurrence in patients with symptomatic intracranial atherosclerotic arterial stenosis
doi 10.3389/fnins.2023.1323270
- 1,031 views
- 1 citation
ORIGINAL RESEARCH
Published on 14 Dec 2023
Toward hippocampal volume measures on ultra-high field magnetic resonance imaging: a comprehensive comparison study between deep learning and conventional approaches
doi 10.3389/fnins.2023.1238646
- 1,355 views
- 2 citations
ORIGINAL RESEARCH
Published on 27 Oct 2023
3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies
doi 10.3389/fnins.2023.1188336
- 1,427 views
- 2 citations
ORIGINAL RESEARCH
Published on 07 Jul 2023
A computer-aided diagnosis system for brain tumors based on artificial intelligence algorithms
doi 10.3389/fnins.2023.1120781
- 3,327 views
- 7 citations
ORIGINAL RESEARCH
Published on 04 May 2023
Prediction of recurrence of ischemic stroke within 1 year of discharge based on machine learning MRI radiomics
doi 10.3389/fnins.2023.1110579
- 2,182 views
- 6 citations
Published in
Frontiers in Neuroscience
Brain Imaging Methods