Stars
Official pytorch implementation of the paper: "SinDDM: A Single Image Denoising Diffusion Model"
[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
High-quality implementations of standard and SOTA methods on a variety of tasks.
SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"
Code and pre-trained convolutional neural network for breast cancer segmentation in MRI
A comprehensive Radiomics pipeline for extracting, preprocessing, and analyzing oncological imaging biomarkers that can be used for benign-malignancy prediction, survival status prediction, and sim…
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)