cherise215

AdvBias

[MICCAI 2020 Oral] Realistic Adversarial Data Augmentation for MR Image Segmentation

advchain

[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)

atria_segmentation_2018

[STACOM 2018] Multi-task Learning for Left Atrial Segmentation on GE-MRI. This repository contains training and testing code for atrial segmentation challenge 2018.

awesome_lists

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

CardiacMRSegmentation

[Robust cardiac MR image segmentation foundation model] This code contains the most powerful cardiac segmentation model trained from UK biobank dataset with superior performance on out-of-domain datasets. This model can be used out-of-box, and serve as a foundation model for further finetuning

Compiler

Mini C compiler implemented by C#

Cooperative_Training_and_Latent_Space_Data_Augmentation

[MICCAI 2021 Oral] Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

Journal-Response-Letter-Template

MaxStyle

[MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

Medical-Image-Processing-with-ITK

cherise215/advchain

[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)

cherise215/Cooperative_Training_and_Latent_Space_Data_Augmentation

[MICCAI 2021 Oral] Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

cherise215/MaxStyle

[MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

cherise215/atria_segmentation_2018

[STACOM 2018] Multi-task Learning for Left Atrial Segmentation on GE-MRI. This repository contains training and testing code for atrial segmentation challenge 2018.

cherise215/AdvBias

[MICCAI 2020 Oral] Realistic Adversarial Data Augmentation for MR Image Segmentation

cherise215/CardiacMRSegmentation

[Robust cardiac MR image segmentation foundation model] This code contains the most powerful cardiac segmentation model trained from UK biobank dataset with superior performance on out-of-domain datasets. This model can be used out-of-box, and serve as a foundation model for further finetuning

cherise215/Compiler

Mini C compiler implemented by C#

cherise215/Journal-Response-Letter-Template

cherise215/awesome_lists

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

cherise215/LLM-ECG-Dual-Attention

cherise215/augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

cherise215/compare_gan

Compare GAN code.

cherise215/mixmatch

cherise215/surface-distance

Library to compute surface distance based performance metrics for segmentation tasks.

cherise215/DAFormer

Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

cherise215/FixableDropout

PyTorch Implementation of Dropout layers with fixable masks

cherise215/licenses

Licenses approved by Team Digitale, ready to use in your repository

cherise215/loss-landscapes

Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

cherise215/M-ADA

The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)

cherise215/midir

Learning Diffeomorphic and Modality-invariant Registration using B-splines (MIDL 2021)

cherise215/mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

cherise215/MRIsegmentation

🧠 Automatic MRI segmentation pipeline for consistent FEM and BEM mesh creation from MRI scans of human heads

cherise215/pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

cherise215/semantic-segmentation

SOTA Semantic Segmentation Models in PyTorch

cherise215/UMGUD

The Pytorch implementation for "Uncertainty-guided Model Generalization to Unseen Domains" (CVPR 2021)

cherise215/WAE-pytorch

cherise215/cherise215

cherise215/cherise215.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

cherise215/MyMedCLIP

EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts

cherise215/reliability-diagrams

Reliability diagrams visualize whether a classifier model needs calibration