brain-mri 开源项目推荐（148 个）

nilearn /nilearn

Python中神经成像的机器学习

arnab39 /FewShot_GAN-Unet3D

我们论文的张量流实现：使用生成对抗学习的少数三维多模态医学图像分割

NYUMedML /CNN_design_for_AD

Code for "Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs"

iitzco /deepbrain

Deep Learning tools for brain medical images

MaciejMazurowski /brain-segmentation

Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net

milad1378yz /MOTFM

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

NYUMedML /DARTS

Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation

weihaox /UMBRAE

[ECCV 2024] UMBRAE: Unified Multimodal Brain Decoding | Unveiling the 'Dark Side' of Brain Modality

richardChenzhihui /Med-Banana-80K

Official code release for the EMNLP 2026 paper "Med-Banana: Learning Quality-Controlled Medical Image Editing from Success-and-Failure Trajectories" — Med-Banana-80K dataset + edit–verify–refine system

MS-PINPOINT /mindGlide

Brain MRI segmentation for multiple sclerosis — any sequence, any quality. pip install mindglide

vaibhavshukla182 /Brain-MRI-Segmentation

Smart India Hackathon 2019 project given by the Department of Atomic Energy

NatLee /nipype-preprocess-on-brain-mr

Brain T1 MRI preprocessing with Nipype: AC-PC alignment, registration, skull stripping, N4, K-means/FAST/Atropos segmentation, volumetrics, QC reports and a 3D brain view, in a lean Docker image.

junyuchen245 /Preprocessed_IXI_Dataset

Preprocessed IXI brain MRI dataset with subcortical segmentation

giocoal /ADNI-brain-MRI-alzheimer-WGAN-generation-and-classification

Brain T1-Weighted MRI Images Classification and WGAN Generation (Alzheimer's and Healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trained on ADNI dataset.

FinnBehrendt /Unsupervised-Anomaly-Detection-in-Brain-MRI

A Collection of Data sets and Approaches to UAD in Brain MRI.

weihaox /BrainHub

[ECCV 2024] BrainHub: Multimodal Brain Understanding Benchmark

iolag /UPD_study

This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.

FeliMe /feature-autoencoder

Anomaly localization using autoencoder models in the feature space of a ResNet

asbjrnmunk /amaes

Masked Autoencoder Pretraining on 3D Brain MRI

bryanlimy /clinical-super-mri

[Frontiers in Comp. Neuro.] Deep Attention Super-Resolution of Brain Magnetic Resonance Images Acquired Under Clinical Protocols