TSAN-brain-age-estimation
importedsoftware/tsan-brain-age-estimation
TSAN: Two-Stage-Age-Net, for brain age estimation from T1-weighted MRI data.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- Milan-BUAA
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- brain-age · brain-age-prediction · deep-learning · mri · pytorch
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Clustered-FL-BrainAGEbrain-age-prediction · mri · pytorch
Official implementation of paper "Brain Age Estimation Using Structural MRI: A Clustered Federated Learning Approach"
- 3dMRISegmentationmri · pytorch
Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."
- ADDFormermri · pytorch
Addformer: Alzheimer’s disease detection from structural mri using fusion transformer
- BTSC-UNet-ViTmri · pytorch
🧠 BTSC-UNet-ViT— a🚀brain tumor segmentation & classification system combining 🧩Vision Transformers (ViT) for tumor detection and 🎯 UNet for precise pixel-level segmentation from MRI scans.…
- D2Diffmri · pytorch
Official Pytorch Implementation for D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis [Accepted at MICCAI2025]
- ddpm-ddrm-fmri-superresmri · pytorch
Diffusion-based super-resolution for 7T fMRI-EPI, with an MR-realistic k-space degradation operator for DDRM
- api.github.com/repos/Milan-BUAA/TSAN-brain-age-estimationretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-04-11, 72 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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