Contijoch Research Laboratory's repositories
PSM-Work-Mapping
Patient-specific modeling assessment of myocardial work with simple and robust clinical datasets
fcrl-filt-back-proj
Filtered backprojection in python without explicit use of Radon transform functions
rv-rmwct-study
Data and analysis scripts for MWCT paper
DL_CT_GLS_Final
Code used to measure GLS from long-axis segmentations
UNet_image_to_image
A image-to-image UNet, tensorflow 2.4.1
DL_WMA_by_VR_Final_v_ZC
A deep learning pipeline to detect Left Ventricle Wall Motion Abnormality from volume-rendered 4DCT data. Author: Zhennong Chen, PhD
2DUNet_CT_Seg_Final_v_ZC
a 2D U-Net pipeline to segment heart chambers in CT 3D volumes. Author: Zhennong Chen, PhD.
NeuralCT_new_seg_Final_v_ZC
An implicit neural representation framework to correct motion artifacts from CT. Author: Zhennong Chen, PhD
DL_CT_Seg-Plane_Prediction_Final_v_ZC
Use trained deep learning (DL) model (modified 3D U-Net) to predict chamber segmentation and cardiac imaging planes on new cases. Author: Zhennong Chen, PhD
AI_chamber_segmentation_plane_re-slicing
A deep learning (DL) pipeline to simultaneously predict multi-chamber segmentation and all cardiac imaging planes. Author: Zhennong Chen, PhD
BaseDockerImages
Base Docker Images build on top of NVIDIA CUDA XX.X and includes anaconda, other useful packages.
med-img-octnet-adaptation
Adaptation of OctNet for use in Medical Images
hexblender
A Blender addon that allows for working with hexahedral elements
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
CatSim
Simulation and Reconstruction Package