Kyulee Jeon's Projects
Sample projects on working with AWS HealthImaging, an AWS service that allows you to store, analyze, and share medical images in the cloud at petabyte scale.
sharing bootcamp contents
Deep Ensembles code
Cyclops (Cyclic coordinate descent for logistic, Poisson and survival analysis) is an R package for performing large scale regularized regressions.
dcmqi (DICOM for Quantitative Imaging) is a free, open source library that can help with the conversion between imaging research formats and the standard DICOM representation for image analysis results
This project looks at creating a controlled vocabulary for DICOM Pt 6 Data Dictionary with a focus on CS code strings.
DSPy: The framework for programming—not prompting—foundation models
Jupyter notebook files for training and testing deep ensembles for differentiating glioblastoma (GBM) from solitary brain metastasis (SBM). This model provides uncertainty and interpretability etimation.
High-level DICOM abstractions for the Python programming language
[under development] Large-scale incidence characterization
Repository for medical image working group
Config files for my GitHub profile.
This is the official implementation for AAAI-23 paper "Are Transformers Effective for Time Series Forecasting?"
Repository for activities of the machine learning committee
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification: try "pip install medmnist"!
Codebase for reproducible benchmarking experiments in MedMNIST v2
Segment Anything in Medical Images
MLCube® examples
MONAI Tutorials
The repository of the materials for the OHDSI Tutorials in Korea