Seong Ho Park

Ulsan College — South Korea

Medicine · Health Sciences

71h-index19.6kcitations485works8.32yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(81), Colorectal Cancer Screening and Detection(55), Hepatocellular Carcinoma Treatment and Prognosis(54), Colorectal Cancer Surgical Treatments(52), Artificial Intelligence in Healthcare and Education(45)

Publications481 total

Vertebral Artery Dissection with Acute Ischemic Stroke after COVID-19 Vaccination: Three Case Reports
Journal of Neurosonology and Neuroimaging·2025Open Access
Abbreviated gadoxetic acid–enhanced MRI versus ultrasonography for HCC surveillance in high-risk patients: A randomized trial protocol
Hepatology Communications·2025Open Access
Using a Vision-Language Model to Generate Visual Abstracts for Radiology Journals
Radiology·2025· 1 citedOpen Access
P11 - Preclinical evaluation of calcitriol’s immunomodulatory role in Graves’ disease
European Journal of Endocrinology·2025Open Access
How best to combine DWI and T2WI to predict pathologic complete response: a multi-center study on interpreting MRI following chemoradiotherapy of rectal cancer
European Radiology·2025· 1 cited
Performance of simulated abbreviated liver MRI combined with CT for liver metastasis screening in rectal cancer staging
European Radiology·2025
Effects of clinical information on the treatment decisions for good responders to neoadjuvant chemoradiotherapy among rectal cancer patients
Annals of Coloproctology·2025· 1 citedOpen Access
Assessment of Small Bowel Motility Using Cine-magnetic Resonance Imaging in Patients Suspected With Chronic Intestinal Pseudo-obstruction
Journal of Neurogastroenterology and Motility·2025· 2 citedOpen Access
Effects of patient and imaging factors on small bowel motility scores derived from deep learning-based segmentation of cine MRI
European Radiology·2025· 1 cited
Evaluation of Vision-Language Models for Detection and Deidentification of Medical Images with Burned-In Protected Health Information
Radiology·2025· 4 cited
Automated, Standardized, Quantitative Analysis of Cardiovascular Borders on Chest X-Rays Using Deep Learning
JACC Advances·2025· 2 citedOpen Access
The Global Reading Room: Radiology, Then and Now
American Journal of Roentgenology·2025
Ensuring peer review integrity in the era of large language models: A critical stocktaking of challenges, red flags, and recommendations
European Journal of Radiology Artificial Intelligence·2025· 6 citedOpen Access
A Study on the Impact of Terrestrial Broadcasting Companies' Strategic Actions on Corporate Performance and Market Structure: Focusing on VoD Windowing Strategy from 2011 to 2020
THE JOURNAL OF SOCIAL SCIENCE·2025
Availability and transparency of artificial intelligence models in radiology: a meta-research study
European Radiology·2025· 2 citedOpen Access
Announcement of New Gastrointestinal Section Editor
Korean Journal of Radiology·2025Open Access
Overview of South Korean Guidelines for Approval of Large Language or Multimodal Models as Medical Devices: Key Features and Areas for Improvement
Korean Journal of Radiology·2025· 2 citedOpen Access
Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM): 2025 Updates
Korean Journal of Radiology·2025· 3 citedOpen Access
Academic Journal Podcast and Generative Artificial Intelligence: Introducing KJR SummaryCast
Korean Journal of Radiology·2025· 1 citedOpen Access
Announcement of New Gastrointestinal Section Editor
Korean Journal of Radiology·2025Open Access
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Frequent Co-authors

Seung Soo Lee(12), Kyung Won Kim(10), Eun Sil Yu(7), So Yeon Kim(7), Jae Ho Byun(7), Hyun Kwon Ha(6), Sung‐Gyu Lee(6), Sang Hyun Choi(6), Suk‐Kyun Yang(4), Kyoung Ho Lee(4), Namkug Kim(4), Kyunghwa Han(3), Jimi Huh(3), Tae Kyoung Kim(3), Byung Ihn Choi(3), David H. Bruining(3), Seunghee Baek(3), Young‐Suk Lim(3), Kyung‐Jo Kim(3), Bo-Kyeong Kang(3)