Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
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Sep 9, 2026 - Python
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structural-mri
Here are 18 public repositories matching this topic...
Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM density, curvature, gyrification)
machine-learning graph neuroscience vbm feature-extraction neuroimaging network-analysis gray-matter anatomical-mri cortical-network freesurfer voxel-based structural-mri cortical-thickness thickness mindboggle
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Apr 4, 2026 - Jupyter Notebook
Intensity normalization of structural MRIs using RAVEL
image-processing mri brain-imaging normalization image-preprocessing structural-mri ravel smri image-normalization
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Sep 7, 2023 - HTML
A python package that imitates functions from the Computational Anatomy Toolbox - CAT12.
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Aug 2, 2021 - Python
StairwayGraphNet for inter- and inter-modality graph superresolution.
deep-learning predictive-modeling brain-connectivity adversarial-learning structural-mri gnns graph-neural-networks multi-modal-imaging graph-superresolution generative-learning functional-mri
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Apr 7, 2023 - Python
Non-isomorphic Inter-modality Graph Alignment and Synthesis.
deep-neural-networks deep-learning brain super-resolution brain-connectivity structural-mri network-neuroscience brain-networks graph-neural-networks pytorch-geometric graph-alignment graph-superresolution generative-learning domain-alignment functional-mri predictive-medicine inter-modality-learning connectome-generation
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Nov 15, 2021 - Python
Correlation-edge sampling of CAT12 gray matter maps for AD/MCI classification using structural MRI.
machine-learning deep-learning feature-selection medical-imaging vbm neuroimaging gray-matter structural-mri adni alzheimer-disease mild-cognitive-impairment cat12
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May 30, 2026 - Python
Pipeline for Cortical and Subcortical SC and FC
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Aug 14, 2026 - Python
Nipype based application to detect FCD lesion in MRI negative epilepsy patients
image-processing neuroimaging bids structural-mri normative-modelling focal-cortical-dysplasia brain-im
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Mar 4, 2022 - Python
Single-subject structural MRI processing with CAT26 and SPM25, including tissue segmentation, QC, global volumes, and VBM preparation.
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Aug 22, 2026 - Python
Masters thesis in CogNeuro with Center for Lifespan Changes in Brain and Cognition
machine-learning r machine-learning-algorithms tidyverse cross-validation xgboost classification neuroimaging data-preprocessing imbalanced-data cognitive-neuroscience ocd structural-mri abcd-study tidymodels child-mental-health internalizing-symptoms informant-effects brain-morphometry
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Jul 29, 2025 - HTML
Single-subject methodological comparison of CAT26/SPM25 and FreeSurfer 7.4.1 on the same OpenNeuro T1-weighted MRI.
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Aug 17, 2026
Single-subject FreeSurfer 7.4.1 cortical reconstruction and morphometry using public OpenNeuro structural MRI data.
quality-control neuroimaging morphometry freesurfer structural-mri cortical-thickness recon-all openneuro
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Aug 21, 2026 - Python
An interpretable sMRI study of brain ageing in schizophrenia using DNNs, ridge regression, PCA, SHAP and anatomical feature mapping.
machine-learning deep-learning neuroimaging schizophrenia structural-mri explainable-ai shap brain-age
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Jul 27, 2026
Graduate clinical AI system for ASD detection from sMRI — NIfTI pipeline, Hybrid CNN-ViT (AUC 0.997), Grad-CAM + LIME explainability, MC-Dropout uncertainty, LLM clinical narrative, deployed on Hugging Face Spaces.
pytorch medical-imaging autism uncertainty-quantification lime structural-mri explainable-ai gradcam streamlit clinical-ai model-card hugging-face asd-detection hybrid-cnn-vit
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Apr 25, 2026 - Jupyter Notebook
B.Tech 2023 capstone — CNN vs Vision Transformer for ASD detection from structural MRI (ABIDE-I, 1,067 subjects). Established CNN baseline (AUC 0.978) and documented ViT failure from scratch. Foundation for graduate Phase 2.
computer-vision deep-learning cnn abide pytorch kaggle medical-imaging classification neuroimaging autism structural-mri vision-transformer asd-detection
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Apr 25, 2026 - Jupyter Notebook
Alzheimer's disease detection from structural MRI (OASIS-1): 3D SFCN, federated SFCN with FedProx, and a radiomics + classical ML pipeline, with a Streamlit app serving all three models.
deep-learning pytorch medical-imaging alzheimers-disease radiomics structural-mri federated-learning streamlit oasis-dataset dementia-classification
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Aug 10, 2026 - Python
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