GDR
GDR is a C++ implementation of the Geodesic Density Regression (GDR) algorithm for 4DCT motion artifacts correction. It is available on GitHub
ProsRegNet
ProsRegNet is the first deep learning-based pipeline to accelerate MRI-histopathology image registration in prostate cancer. It is available on GitHub.
MicroSegNet
MicroSegNet is the first deep learning model designed for automated prostate segmentation on micro-ultrasound images. It is available on GitHub.
RetinaRegNet
RetinaRegNet is a zero-shot method for various retinal image registration tasks. It is available on GitHub.
RAPHIA
RAPHIA is the first fully-automated pipeline for the registration MRI and histopathology images of the prostate. It is available on GitHub.
CSA-Net
CSA-Net is a flexible 2.5D medical image segmentation method based on in-slice and cross-slice attention. It is available on GitHub.
Fast-DDPM
Fast-DDPM is a simple yet effective approach capable of improving training speed, sampling speed, and generation quality simultaneously. It is available on GitHub.