cheng-01037

Medical-Cross-Modality-Domain-Adaptation

[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)

awesome-deep-learning-papers

The most cited deep learning papers

Causality-Medical-Image-Domain-Generalization

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

Deep-Learning-for-Medical-Applications

Deep Learning Papers on Medical Image Analysis

EECS281

Data Structure and Algorithm Analysis

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

Self-supervised-Fewshot-Medical-Image-Segmentation

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

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)

cheng-01037/Causality-Medical-Image-Domain-Generalization

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

cheng-01037/efficient-med_image-domain-adaptation

An efficient domain adaptation tool for medical image segmentation

cheng-01037/Med-CMDA

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

cheng-01037/PANet

cheng-01037/Probability_Calibration_for_OOD_MRI_Segmentation

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

cheng-01037/Pytorch-Project-Template

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

cheng-01037/Swin-Transformer-Semantic-Segmentation

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

cheng-01037/academicpages.github.io

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

cheng-01037/advchain

Adversarial Data Augmentation with Chained Transformations (Adv Chain)

cheng-01037/AutoAugment

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

cheng-01037/cheng-01037

Config files for my GitHub profile.

cheng-01037/cheng-01037.github.io

cheng-01037/Cooperative_Training_and_Latent_Space_Data_Augmentation

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

cheng-01037/deep-learning-project-template

Pytorch Lightning code guideline for conferences

cheng-01037/domain_specific_cl

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

cheng-01037/generalize-unseen-domains

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

cheng-01037/gpu-monitor

Script to remotely check GPU servers for free GPUs

cheng-01037/H-DenseUNet

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

cheng-01037/MedSAM

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

cheng-01037/minimal-light

A simple and elegant Jekyll theme for an academic personal homepage

cheng-01037/pytorch-3dunet

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

cheng-01037/pytorch_coma

cheng-01037/pytorch_morphological_dilation2d_erosion2d

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

cheng-01037/random_notes

cheng-01037/roi_pooling

four ways to compare the speed of roi pooling in pytorch

cheng-01037/SIFA

cheng-01037/student-teacher-anomaly-detection

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

cheng-01037/UMich-ROB-530-public

UMich 500-Level Mobile Robotics Course

cheng-01037/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.