Advancing neuroimaging diagnostics with machine learning and computational models

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ORIGINAL RESEARCH

Published on 24 Jul 2026

Explainable XGBoost model and nomogram for risk factor identification and risk prediction in cerebral small vessel disease: a machine learning-based retrospective cohort study

Xi Zhu
Xuhui Liu
Xujie Wang
Yuyi Fan
Ming Chen

doi 10.3389/fneur.2026.1786279

905 views

ORIGINAL RESEARCH

Published on 08 Jul 2026

Automated diagnosis of Sturge–Weber syndrome by detecting leptomeningeal angiomatosis from MRI using a multi-task deep learning framework

Jing Wu
Xindan Hu
Chenxi Xu
Chenghao Xue
Ruisheng Su
Yumei Yan
Ruolin Hou
Weiqun Bao
Tao Tan
2 more
Lin Xu

doi 10.3389/fnins.2026.1862520

1,282 views

ORIGINAL RESEARCH

Published on 17 Jun 2026

Transformer-based fusion of radiomics-habitat and deep learning for assessing unruptured intracranial aneurysm instability

Linghao Li
Shanshan Xie
Xinmei Ma
Wentao Gong
Yuncai Ran
Xiao Wang
Jinyi Li
Jing Li
Yong Zhang
1 more
Qichang Fu

doi 10.3389/fnins.2026.1818110

1,459 views

ORIGINAL RESEARCH

Published on 25 May 2026

Ensemble Deep Learning Denoising (EDLD) model and optimized OTSU segmentation for Alzheimer's disease diagnosis using MRI images

S. Amuthan
N. C. Senthilkumar

doi 10.3389/frai.2026.1743818

916 views

ORIGINAL RESEARCH

Published on 13 Mar 2026

Prediction of glioma-related epilepsy by Brain Age Index: a multicenter study

Hengyan Liang
Xiaozhou Zuo
Zhang Xiong
Yong Liu
Tao Sun
Xiaochun Jiang
Jiajia Yu
Dongming Liu
Xinru Xu
1 more
Guangfu Di

doi 10.3389/fnins.2026.1745461

1,609 views

ORIGINAL RESEARCH

Published on 12 Mar 2026

Cerebrovascular diagnosis using CTA-based intracranial aneurysm classification via transfer learning and Grad-CAM visualization

Xin Wang
Dan Chen
Kavimbi Chipusu
Muhammad Awais Ashraf
Peng Ji

doi 10.3389/fneur.2026.1704945

1,739 views

ORIGINAL RESEARCH

Published on 05 Mar 2026

Schizophrenia detection via lobe-wise and overall EEG features using VMD and bayesian-optimized machine learning models

Gandham Sai Sravanthi
Lakhan Dev Sharma

doi 10.3389/fnins.2026.1753779

1,531 views
2 citations

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

Xinyang Wang
Jian Song
Weicheng Kong
Wei Wei
Haoran Shi
Peitao Xu
Yuqing Zhao
Jiayu Cai
Xiehua Xue

doi 10.3389/fnagi.2025.1700771

2,198 views
2 citations

ORIGINAL RESEARCH

Published on 18 Nov 2025

Detection of leptomeningeal angiomas in brain MRI of Sturge-Weber syndrome using multi-scale multi-scan Mamba

Weiqun Bao
Chenghao Xue
Ruisheng Su
Xindan Hu
Yuanning Li
Xiaoqiang Wang
Tao Tan
Dake He
Lin Xu

doi 10.3389/fnins.2025.1699700

2,649 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

Fei Xiang
Mingyue Liu
Wenna Chen
Shaojie Zheng
Jincan Zhang
Ganqin Du

doi 10.3389/fnins.2025.1698960

2,326 views
4 citations

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

Wenna Chen
Chuanqi Cai
Xinghua Tan
Rongfu Lv
Jincan Zhang
Ganqin Du

doi 10.3389/fnins.2025.1682603

3,251 views
4 citations

ORIGINAL RESEARCH

Accepted on 13 Aug 2026

The Morphometric Features Derived as the Predictors of Acute Ischemic Stroke Recurrence

Jianzheng Sun
Peng Dong
Lijing Wang
Jinfeng Long
Yinuo Qi
Limei Song

230 views

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Frontiers in Neuroscience

Brain Imaging Methods

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Frontiers in Neuroimaging
- Brain Imaging Methods
- 2.5 impact factor
- 3.9 citescore
Frontiers in Neurology
- 3.3 impact factor
- 5.4 citescore

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Articles

Explainable XGBoost model and nomogram for risk factor identification and risk prediction in cerebral small vessel disease: a machine learning-based retrospective cohort study

Automated diagnosis of Sturge–Weber syndrome by detecting leptomeningeal angiomatosis from MRI using a multi-task deep learning framework

Transformer-based fusion of radiomics-habitat and deep learning for assessing unruptured intracranial aneurysm instability

Ensemble Deep Learning Denoising (EDLD) model and optimized OTSU segmentation for Alzheimer's disease diagnosis using MRI images

Prediction of glioma-related epilepsy by Brain Age Index: a multicenter study

Cerebrovascular diagnosis using CTA-based intracranial aneurysm classification via transfer learning and Grad-CAM visualization

Schizophrenia detection via lobe-wise and overall EEG features using VMD and bayesian-optimized machine learning models

Identification and validation of an interpretable EEG-based machine learning model for the diagnosis of post-stroke cognitive impairment

Detection of leptomeningeal angiomas in brain MRI of Sturge-Weber syndrome using multi-scale multi-scan Mamba

A deep hybrid CSAE-GRU framework with two-stage balancing for automatic epileptic seizure detection using EEG-derived features

MAUNet: a mixed attention U-net with spatial multi-dimensional convolution and contextual feature calibration for 3D brain tumor segmentation in multimodal MRI

The Morphometric Features Derived as the Predictors of Acute Ischemic Stroke Recurrence

Frontiers in Neuroscience

Brain Imaging Methods

Other participating journals

Frontiers in Neuroimaging

Brain Imaging Methods

Frontiers in Neurology