Stars
This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation", published at IEEE JBHI 2022
NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
This is the notebook associated with the blog post:
This Repo Will contain the Preprocessing Code for 3D Medical Imaging
[MICCAI 2021 Oral] Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
This is the offical project for Learning Robust Shape Regularization for Generalizable Medical Image Segmentation
embedding method for measuring uncertainty
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
[CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
1st place solution for MICCAI challenge CrossMoDA 2023
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
[CVPR 2023] Label-Free Liver Tumor Segmentation
[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"
The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch
Using GANs and Stable Diffusion to generate Chest Xray data points and evaluating them using convolutional classifiers.
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)