LabCompass

Juhyung Ha

Computer Science · Indiana University

OpenAlex ORCID
Medical Image Segmentation TechniquesMedical Imaging Techniques and ApplicationsAdvanced X-ray and CT ImagingSepsis Diagnosis and TreatmentAdvanced Radiotherapy Techniques

Publications

38

Citations

168

Est. group size

~1

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Juhyung Ha works on applying machine learning and deep learning to medical data, especially the analysis of medical images such as CT scans and 3D tomography, as well as building predictive models from clinical records. Projects range from segmenting blood vessels in kidney scans and generating synthetic CT images to forecasting patient outcomes like cardiac arrest, shock, and organ-donation decisions. The work sits at the intersection of computer science and clinical medicine.

Medical image segmentationDeep learning for medical imagingClinical outcome prediction modelsMulti-modal data fusionSynthetic medical image generation

Publication activity has been growing over the last several years, rising from a few papers annually to about ten in 2025.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.8/year recently
172018: 1 publication18192020: 3 publications202021: 5 publications212022: 3 publications222023: 4 publications232024: 6 publications242025: 10 publications10252026: 6 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×7
  • Zenodo (CERN European Organization for Nuclear Research)×4
  • JMIR Medical Informatics×3
  • Scientific Reports×2
  • Shock×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

Claim or correct this profile