Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
structural-mri 开源项目推荐(20 个)
structural-mri 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 20
GitHub 共 20 个仓库,已全部展示Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM density, curvature, gyrification)
利用RAVEL进行结构MRI强度归一化
A python package that imitates functions from the Computational Anatomy Toolbox - CAT12.
StairwayGraphNet for inter- and inter-modality graph superresolution.
Non-isomorphic Inter-modality Graph Alignment and Synthesis.
Correlation-edge sampling of CAT12 gray matter maps for AD/MCI classification using structural MRI.
Code for the systematic review "AI-Based Differential Diagnosis of Neurodegenerative Diseases Using Structural MRI" (Imaging Neuroscience, 2026): literature retrieval, data normalization, statistics and figures.
Pipeline for Cortical and Subcortical SC and FC
Masters thesis in CogNeuro with Center for Lifespan Changes in Brain and Cognition
An interpretable sMRI study of brain ageing in schizophrenia using DNNs, ridge regression, PCA, SHAP and anatomical feature mapping.
SCN pipeline
Single-subject structural MRI processing with CAT26 and SPM25, including tissue segmentation, QC, global volumes, and VBM preparation.
Nipype based application to detect FCD lesion in MRI negative epilepsy patients
social isolation and structural mri poster presented at flux 2025
Single-subject methodological comparison of CAT26/SPM25 and FreeSurfer 7.4.1 on the same OpenNeuro T1-weighted MRI.
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.
Single-subject FreeSurfer 7.4.1 cortical reconstruction and morphometry using public OpenNeuro structural MRI data.
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.
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.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/structural-mri。
- 该话题在 GitHub 上共有 20 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 250 Star,覆盖 3 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。