Changchun-Yang

Cardio-PINN

Code and data in support of publication on Cardiac PINN

CAS-Transformer

This project provides a benchmar for virtual satining tasks.

changchunyang.github.io

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

conformal-triage

d_RPCA

Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition

deepbayes-2018

Seminars DeepBayes Summer School 2018

differentially-private-cgan

disent

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

LoftGAN

Code for paper "Deep Learning Enables Robust and Precise Light Focusing on Treatment Needs".

Changchun-Yang/LoftGAN

Code for paper "Deep Learning Enables Robust and Precise Light Focusing on Treatment Needs".

Changchun-Yang/Cardio-PINN

Code and data in support of publication on Cardiac PINN

Changchun-Yang/CAS-Transformer

This project provides a benchmar for virtual satining tasks.

Changchun-Yang/changchunyang.github.io

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

Changchun-Yang/conformal-triage

Changchun-Yang/d_RPCA

Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition

Changchun-Yang/deepbayes-2018

Seminars DeepBayes Summer School 2018

Changchun-Yang/differentially-private-cgan

Changchun-Yang/disent

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

Changchun-Yang/disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

Changchun-Yang/disentanglement_tutorial

This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.

Changchun-Yang/DisQ

The official implementation for the paper: DisQ: Disentangling Quantitative MRI Mapping of the Heart.

Changchun-Yang/doing_the_PhD

Changchun-Yang/Endo-Depth-and-Motion

Changchun-Yang/Endo-FM

[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

Changchun-Yang/GenerativeModels

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

Changchun-Yang/His-MMDM

Changchun-Yang/HistoXGAN

Accurate encoding of histologic images into StyleGAN space for discovery and explainability

Changchun-Yang/invertible_rim

Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations

Changchun-Yang/nerfstudio

A collaboration friendly studio for NeRFs

Changchun-Yang/PCMC-T1

Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction

Changchun-Yang/Python-Uncertainty_Aware_Vision_Transformer

Changchun-Yang/Robustness-CS

Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.

Changchun-Yang/sdfstudio

A Unified Framework for Surface Reconstruction

Changchun-Yang/test

Changchun-Yang/TorchIR

Deep learning image registration library for PyTorch

Changchun-Yang/voxelmorph

Unsupervised Learning for Image Registration

Changchun-Yang/X-metric

X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing (TPAMI)