Wookjin Choi's repositories
lung-image-analysis
A basic framework for pulmonary nodule detection and characterization in CT
radiomics-tools
Image processing tools for radiomics analysis
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
ActivityNet
This repository is intended to host tools and demos for ActivityNet
AI-Deep-Learning-Lab-2021
Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021
ConformalizedMCF
Conformalized Mean Curvature Flow
deep-learning-project-template
Pytorch Lightning code guideline for conferences
dl-colab-notebooks
Try out deep learning models online on Google Colab
Generative-Multi-View-Human-Action-Recognition
Generative Multi-View Human Action Recognition
katacoda-scenarios
Katacoda Scenarios
mmskeleton
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
multi-object-tracker
Multi-object trackers in Python
NoduleX_code
Supporting code for the paper "Highly accurate model for prediction of lung nodule malignancy with CT scans".
ohif-orthanc-dimse-docker
OHIF Viewer and Orthanc (core with plugins) defined as docker-compose services
pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
qatrackplus
QATrack+ is an open source program for managing the quality control program of radiotherapy and diagnostic imaging clinics.
qcpump
QCPump is an extensible utility for extracting data from various sources (databases, filesystem etc) and moving it to other locations. The primary use of QCPump is currently for extracting data from SNC Daily QA3 databases (Firebird & Atlas) and uploading it to QATrack+ via QATrack+'s API.
S_2019
Lectures, labs and all documents associated with 3D Morphometrics workshop at FHL (Summer 2019)
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
st-gcn-pytorch
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
surface-distance
Library to compute surface distance based performance metrics for segmentation tasks.
TCIAExplorer
Easy to use Python wrapper around TCIA's REST API.
Viewers
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
VISTA
MONAI Versatile Imaging Segmentation and Annotation
voxel2mesh
Voxel2Mesh for Lung Nodule Segmentation/Classification and Malignancy Prediction