Hoo-Chang Shin

Hoo-Chang Shin, Ph.D., is a postdoctoral fellow in the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, at the NIH Clinical Center. He enjoys research on artificial intelligence and data science. He also likes to apply his research to solve the real-world problems of various forms, e.g., natural language processing, computer vision, medical image analysis, and genomics. Besides studying artificial intelligence and data, he is interested in understanding his own brain and mind, and likes music, art, and tennis.

Posts By This Author

Challenges to Training Artificial Intelligence with Medical Imaging Data

Tuesday, November 1, 2016

Example artificial intelligence disease detection from radiology images, NIH IRP, cropped

If you were going to train an artificial intelligence (AI) system to understand and accurately diagnose medical images, what kind of information do you think would be most effective: lots of general image data, or small amounts of specific data?

Robot Superheroes to Big Data

Monday, May 18, 2015

As a child I liked robots. Growing up in Korea, I liked cartoons and movies where people were on a mission to save the world with the robots they invented, and I wanted to develop a superhero robot someday, too. While my robot isn’t yet complete, the path I followed in pursuit of my goals eventually led me to explore data analysis.

And here I am, a postdoc at the NIH—probably the largest healthcare research institution in the world—in the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory led by Dr. Ronald M. Summers. Our lab is part of the Department of Radiology and Imaging Sciences at the NIH Clinical Center.

This page was last updated on Thursday, January 20, 2022