Skip To Main Content
Chang Heon Choi on Muck Rack

Chang Heon Choi

As seen in: Nature, PLOS ONE
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Chang Heon

Contact Chang Heon, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

In vivo rectal dosimeter with MRI marker

|
By Chang Heon Choi, Euntaek Yoon, Jin Dong Cho
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Yoon E, Cho JD, Choi CH, Kim JH, Kim JH, Park JM, et al. (2026) In vivo rectal dosimeter with MRI marker. PLoS One 21(7): e0354149. https://doi.org/10.1371/journal.pone.0354149 Editor: Christopher Njeh, Indiana University School of Medicine, UNITED STATES OF AMERICA Received: January 21, 2026; Accepted: July 4, 2026; Published: July 22, 2026 Copyright: © 2026 Yoon et al.
Open in Who Shared Issue with article?

Development and clinical evaluation of fluorescent tattoo system for radiation therapy

|
By Chang Heon Choi, Hong-Gyun Wu, Hak Jae Kim, Jin Kim, Hyun-Cheol Kang, Kyung Su Kim, Jung-in Kim, Seonghee Kang, Jin Jegal
| Nature Verified
Abstract Conventional dark-ink tattoos used for radiotherapy positioning may remain permanently visible. We developed a fluorescent tattoo system comprising a medical tattoo device, fluorescent ink, and ultraviolet (UV) lamps and evaluated its clinical feasibility. Twenty-four patients prospectively received fluorescent tattoos, and setup displacement and procedure times were compared with those of 24 retrospectively selected patients with conventional dark-ink tattoos.
Open in Who Shared View Duplicates (2) Issue with article?

Leaf-Specific Classification of Multi-Leaf Collimator Positioning Errors in Volumetric Modulated Arc Therapy Using a Convolutional Neural Network

|
By Chang Heon Choi, Jung-in Kim, Ju Yeol Shin
| Preprints.org
You are already at the latest version Background/Objectives: Multi-leaf collimator (MLC) positioning accuracy critically affects delivered dose fidelity in volumetric modulated arc therapy (VMAT), yet conventional gamma-based quality assurance (QA) provides only plan-level pass/fail outcomes without leaf-specific error localization.
Open in Who Shared Issue with article?
See all 11 articles