Cheng's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Adversarial Data Augmentation with Chained Transformations (Adv Chain)
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
The most cited deep learning papers
[IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)
Config files for my GitHub profile.
[MICCAI 2021 Oral] Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
Deep Learning Papers on Medical Image Analysis
Pytorch Lightning code guideline for conferences
Deformable Convolution in TensorFlow / Keras
Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"
Data Structure and Algorithm Analysis
This repository contains the suggested reading list for EECS542: Advanced Topics in Computer Vision, a graduate level course at University of Michigan, Ann Arbor.
An efficient domain adaptation tool for medical image segmentation
Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NIPS 2018
Script to remotely check GPU servers for free GPUs
TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Here are the implementations for the method of feature-level unsupervised domain adaptation on cardiac segmentation
The official repository for MedSAM: Segment Anything in Medical Images.
A simple and elegant Jekyll theme for an academic personal homepage
Personal website built on Flask
Post-hoc probability calibration for cardiac MRI segmentation on OOD data
Medical image handling library for easy manipulation of dicom images in research
3D U-Net model for volumetric semantic segmentation written in pytorch
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
An implementation for image (tensor) morphological dilation2d and erosion2d in pytorch