smart-primate/MRI_Style_Transfer_using_CycleGAN

Build a Generative adversarial model (modified U-Net) which can generate artificial MRI images of different contrast levels from existing MRI scans.

/ 100

Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 5 / 25

Maturity 9 / 25

Community 8 / 25

Stars

Forks

Language

Jupyter Notebook

License

MIT

Category

Last pushed

Apr 03, 2022

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/smart-primate/MRI_Style_Transfer_using_CycleGAN"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

NVIDIA/pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs

GaParmar/clean-fid

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

albertpumarola/GANimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

yuanming-hu/exposure

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets,...

yiranran/APDrawingGAN

Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical...