ORIGINAL RESEARCH
Accepted on 31 Jan 2026
Schizophrenia Detection via Lobe-Wise and Overall EEG Features Using VMD and Bayesian-Optimized Machine Learning Models
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- Frontiers in Neuroscience
- Brain Imaging Methods
- Research Topics
- Advancing neuroimaging diagnostics with machine learning and computational models
Advancing neuroimaging diagnostics with machine learning and computational models
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Articles
ORIGINAL RESEARCH
Published on 12 Jan 2026
Identification and validation of an interpretable EEG-based machine learning model for the diagnosis of post-stroke cognitive impairment
doi 10.3389/fnagi.2025.1700771
- 774 views
ORIGINAL RESEARCH
Published on 18 Nov 2025
Detection of leptomeningeal angiomas in brain MRI of Sturge-Weber syndrome using multi-scale multi-scan Mamba
doi 10.3389/fnins.2025.1699700
- 1,361 views
ORIGINAL RESEARCH
Published on 11 Nov 2025
A deep hybrid CSAE-GRU framework with two-stage balancing for automatic epileptic seizure detection using EEG-derived features
doi 10.3389/fnins.2025.1698960
- 1,173 views
ORIGINAL RESEARCH
Published on 08 Oct 2025
MAUNet: a mixed attention U-net with spatial multi-dimensional convolution and contextual feature calibration for 3D brain tumor segmentation in multimodal MRI
doi 10.3389/fnins.2025.1682603
- 1,820 views
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Frontiers in Neuroscience
Brain Imaging Methods
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