Stars
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
A technical report on convolution arithmetic in the context of deep learning
SwinIR: Image Restoration Using Swin Transformer (official repository)
the implement of Face Anti-Spoofing Using Patch and Depth-Based CNNs
3D-Unet: patched based Pytorch implementation for medical images segmentation
BraTS 2024 Inpainting Challenge (Local Synthesis) Repository for Participants. Includes baseline model and infill mask generation script.
3D U-Net model for volumetric semantic segmentation written in pytorch
A framework for joint super-resolution and image synthesis, without requiring real training data
Graphical interface allowing the user to simulator low and middle field cranial mri and generate 3D images with high and low SNR
Improving Portable Low-Field MRI Image Quality through Image-to-Image Translation Using Paired Low- and High-Field Images
Code to generate plots in "Low Field MRI: an MR Physics perspective", JMRI paper
[CVPR 2023] Label-Free Liver Tumor Segmentation
[MICCAI 2024] Cellular Automata for Tumor Development - Realistic Synthetic Tumors in Liver, Pancreas, and Kidney
Perona-Malik diffusion or anisotropic diffusion is a computer vision filtering technique that aims at reducing image noise without reducing the image’s quality in the process. This diffusion techni…
Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
An official repository for 'A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI' presented at NeurIPS DGM4H 2023
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
PyTorch implementation of FastSurferCNN
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC