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Dong Yeong Kim

University of Ulsan - Asan Medical Center

SCHOLARLY PAPERS

2

DOWNLOADS

114

TOTAL CITATIONS

0

Scholarly Papers (2)

1.

Ct Kernel Conversion for Quantitative Assessment in Chronic Obstructive Pulmonary Disease Using an Image-to-Image Schrödinger Bridge Model

Number of pages: 24 Posted: 15 Jul 2025
University of Ulsan - Asan Medical Center, University of Ulsan - Asan Medical Center, University of Ulsan - Asan Medical Center, Sungkyunkwan University - Samsung Changwon Hospital, Dankook University Hospital, University of Ulsan - Asan Medical Center, University of Ulsan - Asan Medical Center, affiliation not provided to SSRN, University of Ulsan - College of Medicine, University of Ulsan - Asan Medical Center and University of Ulsan - Department of Convergence Medicine
Downloads 76 (875,328)

Abstract:

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Airway wall thickness (Pi10), chronic obstructive pulmonary disease (COPD), CT kernel conversion, emphysema index (EI), Image-to-Image Schrödinger Bridge (I2SB), low-attenuation area (LAA)

2.

Expertise-Dependent Verification Behaviors in Response to AI Reliability in Neonatal Pneumoperitoneum: A Multi-Reader Multi-Center Study

Number of pages: 23 Posted: 28 Jan 2026
University of Ulsan - Asan Medical Center, University of Ulsan - Asan Medical Center, University of Illinois at Urbana-Champaign, University of Ulsan - Asan Medical Center, University of Ulsan - Asan Medical Center, Dankook University Hospital, Sungkyunkwan University - Samsung Changwon Hospital, Harvard University - Massachusetts General Hospital, University of Ulsan - Asan Medical Center, University of Ulsan - Asan Medical Center, University of Ulsan - Asan Medical Center, Seoul National University - Seoul National University Hospital, University of Wisconsin-Madison, Sungkyunkwan University - Samsung Medical Center, University of Ulsan - Department of Convergence Medicine and University of Ulsan
Downloads 38 (1,249,711)

Abstract:

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Neonatal pneumoperitoneum, Automation bias, Sentinel behavior, Artificial intelligence, Computer vision, Multi-reader multi-case study, Computer-aided diagnosis, Human-AI interaction, Radiology