cheng-01037

Self-supervised-Fewshot-Medical-Image-Segmentation

[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)

Causality-Medical-Image-Domain-Generalization

[IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)

efficient-med_image-domain-adaptation

An efficient domain adaptation tool for medical image segmentation

Med-CMDA

Here are the implementations for the method of feature-level unsupervised domain adaptation on cardiac segmentation

PANet

Probability_Calibration_for_OOD_MRI_Segmentation

Post-hoc probability calibration for cardiac MRI segmentation on OOD data

Pytorch-Project-Template

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

Swin-Transformer-Semantic-Segmentation

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

academicpages.github.io

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

advchain

Adversarial Data Augmentation with Chained Transformations (Adv Chain)

AutoAugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

cheng-01037

Config files for my GitHub profile.

cheng-01037.github.io

Cooperative_Training_and_Latent_Space_Data_Augmentation

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

deep-learning-project-template

Pytorch Lightning code guideline for conferences

domain_specific_cl

Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"

generalize-unseen-domains

Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NIPS 2018

gpu-monitor

Script to remotely check GPU servers for free GPUs

H-DenseUNet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

MedSAM

The official repository for MedSAM: Segment Anything in Medical Images.

minimal-light

A simple and elegant Jekyll theme for an academic personal homepage

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

pytorch_coma

pytorch_morphological_dilation2d_erosion2d

An implementation for image (tensor) morphological dilation2d and erosion2d in pytorch

random_notes

roi_pooling

four ways to compare the speed of roi pooling in pytorch

SIFA

student-teacher-anomaly-detection

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

UMich-ROB-530-public

UMich 500-Level Mobile Robotics Course

uncertainty-metrics

Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Google and the open-source community.