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Changchun Yang's Projects

cardio-pinn icon cardio-pinn

Code and data in support of publication on Cardiac PINN

d_rpca icon d_rpca

Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition

disent icon disent

๐Ÿงถ Modular VAE disentanglement framework for python built with PyTorch Lightning โ–ธ Including metrics and datasets โ–ธ With strongly supervised, weakly supervised and unsupervised methods โ–ธ Easily configured and run with Hydra config โ–ธ Inspired by disentanglement_lib

disentanglement_lib icon disentanglement_lib

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

disentanglement_tutorial icon 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.

disq icon disq

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

endo-fm icon endo-fm

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

generativemodels icon generativemodels

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

invertible_rim icon invertible_rim

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

loftgan icon loftgan

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

pcmc-t1 icon pcmc-t1

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

robustness-cs icon robustness-cs

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

sdfstudio icon sdfstudio

A Unified Framework for Surface Reconstruction

torchir icon torchir

Deep learning image registration library for PyTorch

x-metric icon x-metric

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

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