Publications by authors named "Beom Jin Park"

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Beyond diagnosis: deep-learning-based analysis of hospitalization using abdominal radiographs in the emergency department.
Yeo Eun Han, Yongwon Cho, Beom Jin Park, Ki Choon Sim, Na Yeon Han

Abdom Radiol (NY)· December 2025

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Artificial Intelligence for Predicting Treatment Failure in Neurourology: From Automated Urodynamics to Precision Management.
Seunghyun Youn, Beom Jin Park

Int Neurourol J· November 2025

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Comparison of Gadoxetic Acid-Enhanced Liver Magnetic Resonance Imaging and Contrast-Enhanced Computed Tomography for the Noninvasive Diagnosis of Hepatocellular Carcinoma.
Jeong Hee Yoon, Won Chang, Young Kon Kim, Chang Hee Lee, Jeong Woo Kim, Beom Jin Park, Hee Sun Park, Seong Jin Park

Liver Cancer· October 2025

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Multiparametric MRI Features of Plasmacytoid Urothelial Carcinoma of the Urinary Bladder.
Yeo Eun Han, Deuk Jae Sung, Hyun Yee Cho, Kyung Sook Yang, Jae Wook Park, Beom Jin Park

Korean J Radiol· September 2025

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Deep learning model using cross-sequence learning to identify orbital fractures in radiographs of patients under 20 Years.
Joohui Kim, Seungeun Lee, So Min Ahn, Gayoung Choi, Bo-Kyung Je, Beom Jin Park

Front Bioeng Biotechnol· September 2025

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LMT2368 (1-(4-Chlorophenyl)-3-(3-fluoro-5-(trifluoromethyl)phenyl)urea) Negatively Regulates Inflammation by Inhibiting NLRP3 Inflammasome Activation.
Thai Uy Nguyen, Su Jeong Kwon, Sunghoon Hurh, Ashok Kale, Jae Min Cho, Beom Jin Park

Pharmaceutics· September 2025

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Enhancing Oncological Surveillance Through Large Language Model-Assisted Analysis: A Comparative Study of GPT-4 and Gemini in Evaluating Oncological Issues From Serial Abdominal CT Scan Reports.
Na Yeon Han, Keewon Shin, Min Ju Kim, Beom Jin Park, Ki Choon Sim

Acad Radiol· May 2025

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Preoperative Computed Tomography-Based Prediction and Patterns of Lymph Node Metastasis in Renal Pelvis and Ureteral Urothelial Carcinomas.
Soojung Park, Deuk Jae Sung, Kyung Sook Yang, Yeo Eun Han, Ki Choon Sim, Beom Jin Park

Cancers (Basel)· March 2025

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Assessing Image Quality in Multiplexed Sensitivity-Encoding Diffusion-Weighted Imaging with Deep Learning-Based Reconstruction in Bladder MRI.
Seung Ha Cha, Yeo Eun Han, Na Yeon Han, Min Ju Kim, Beom Jin Park

Diagnostics (Basel)· February 2025

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Development and multicenter validation of deep convolutional neural network-based detection of colorectal cancer on abdominal CT.
Yeo Eun Han, Yongwon Cho, Beom Jin Park, Min Ju Kim, Ki Choon Sim, Yang Shin Park

Eur Radiol· September 2024

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Comparison of Four Diagnostic Guidelines for Hepatocellular Carcinoma Using Gadoxetic Acid-enhanced Liver MRI.
Jeong Hee Yoon, Young Kon Kim, Jeong Woo Kim, Won Chang, Joon-Il Choi, Beom Jin Park, Hee Sun Park, Seong Jin Park

Radiology· April 2024

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Development and validation of CT‑based radiomics model of PET-negative residual CT masses: a potential biomarker for predicting relapse‑free survival in non-Hodgkin lymphoma patients showing complete metabolic response.
Seung Ha Cha, Ka-Won Kang, Na Yeon Han, Yongwon Cho, Deuk Jae Sung, Beom Jin Park

Abdom Radiol (NY)· January 2024

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Particulate matter 10 induces oxidative stress and apoptosis in rhesus macaques skin fibroblast.
Jiin Lee, Jeongwoo Kwon, Yu-Jin Jo, Seung-Bin Yoon, Jae-Hwan Hyeon, Beom-Jin Park

PeerJ· December 2023

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Machine Learning-Based Magnetic Resonance Radiomics Analysis for Predicting Low- and High-Grade Clear Cell Renal Cell Carcinoma.
Ki Choon Sim, Na Yeon Han, Yongwon Cho, Deuk Jae Sung, Beom Jin Park

J Comput Assist Tomogr· November 2023

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Prussian Blue-Type Sodium-ion Conducting Solid Electrolytes for All Solid-State Batteries.
Taewon Kim, Sang Hyeok Ahn, You-Yeob Song, Beom Jin Park, Chanhee Lee

Angew Chem Int Ed Engl· October 2023

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Hepatocellular carcinoma pathologic grade prediction using radiomics and machine learning models of gadoxetic acid-enhanced MRI: a two-center study.
Yeo Eun Han, Yongwon Cho, Min Ju Kim, Beom Jin Park, Deuk Jae Sung, Yang Shin Park, Bit Na Park

Abdom Radiol (NY)· January 2023

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Radiomics Analysis of Magnetic Resonance Proton Density Fat Fraction for the Diagnosis of Hepatic Steatosis in Patients With Suspected Non-Alcoholic Fatty Liver Disease.
Ki Choon Sim, Min Ju Kim, Yongwon Cho, Hyun Jin Kim, Beom Jin Park

J Korean Med Sci· December 2022

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Magnetic resonance imaging improves stratification of fibrosis and steatosis in patients with chronic liver disease.
Han Ah Lee, Seung-Seob Kim, Jin-Young Choi, Yeon Seok Seo, Beom Jin Park

Abdom Radiol (NY)· November 2022

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Computer-aided hepatocellular carcinoma detection on the hepatobiliary phase of gadoxetic acid-enhanced magnetic resonance imaging using a convolutional neural network: Feasibility evaluation with multi-sequence data.
Yongwon Cho, Yeo Eun Han, Min Ju Kim, Beom Jin Park, Ki Choon Sim, Yang Shin Park

Comput Methods Programs Biomed· October 2022

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Dual-Layer Spectral CT of Pancreas Ductal Adenocarcinoma: Can Virtual Monoenergetic Images of the Portal Venous Phase Be an Alternative to the Pancreatic-Phase Scan?
Yeo Eun Han, Beom Jin Park, Deuk Jae Sung, Min Ju Kim, Na Yeon Han

J Belg Soc Radiol· September 2022

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Diagnostic Feasibility of Magnetic Resonance Elastography Radiomics Analysis for the Assessment of Hepatic Fibrosis in Patients With Nonalcoholic Fatty Liver Disease.
Ki Choon Sim, Min Ju Kim, Yongwon Cho, Hyun Jin Kim, Beom Jin Park

J Comput Assist Tomogr· July 2022

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Metastatic Renal Cell Carcinoma Manifesting as a Gastric Polyp on CT: A Case Report and Literature Review.
Hyun Jin Kim, Beom Jin Park, Deuk Jae Sung, Min Ju Kim, Na Yeon Han

Taehan Yongsang Uihakhoe Chi· March 2022

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Accuracy of MRI for predicting anterior peritoneal reflection involvement in locally advanced rectal cancer: a comparison with operative findings.
Ki Choon Sim, Beom Jin Park, Min Ju Kim, Deuk Jae Sung, Na Yeon Han

Abdom Radiol (NY)· February 2022

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Active Learning for Efficient Segmentation of Liver with Convolutional Neural Network-Corrected Labeling in Magnetic Resonance Imaging-Derived Proton Density Fat Fraction.
Yongwon Cho, Min Ju Kim, Beom Jin Park, Ki Choon Sim, Yeom Suk Keu

J Digit Imaging· October 2021

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Deep convolution neural networks to differentiate between COVID-19 and other pulmonary abnormalities on chest radiographs: Evaluation using internal and external datasets.
Yongwon Cho, Sung Ho Hwang, Yu-Whan Oh, Byung-Joo Ham, Min Ju Kim, Beom Jin Park

Int J Imaging Syst Technol· September 2021

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