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
midas-journal-845
Fuzzy Clustering Algorithms for Image Segmentation
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
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