/SSL_ODTEnhancement

Primary LanguagePythonMIT LicenseMIT

Dynamic 3D imaging of cerebral blood flow in awake mice using self supervised-learning-enhanced optical coherence Doppler tomography

Department of Biomedical Engineering, Department of Computer Science

Stony Brook University


This repository is the official PyTorch implementation.

Environment:

pytorch == 1.12.1
cudatoolkit == 11.6
cudnn == 8.3.2_0

Download the model weights from Google Drive and save into the model_weight directory.

.
└── model_weight
    └── model_weights_best.pth

### Contact

jiaxren@cs.stonybrook.edu