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Ki Choon Sim

Showing results (31-40 of 42) with videos related to

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Abdominal Radiology (New York)|September 21, 2022
Hepatocellular carcinoma pathologic grade prediction using radiomics and machine learning models of gadoxetic acid-enhanced MRI: a two-center studyYeo Eun Han, Yongwon Cho, Min Ju Kim, et al.
Academic Radiology|December 10, 2024
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 ReportsNa Yeon Han, Keewon Shin, Min Ju Kim, et al.
Scientific Reports|July 9, 2026
Deep learning integration of initial abdominal radiography and early clinical information for predicting hospitalization of patients with abdominal symptomsAhsan Aziz, Yeo Eun Han, Awais Khan, et al.
Diagnostics (Basel, Switzerland)|March 13, 2025
Assessing Image Quality in Multiplexed Sensitivity-Encoding Diffusion-Weighted Imaging with Deep Learning-Based Reconstruction in Bladder MRISeung Ha Cha, Yeo Eun Han, Na Yeon Han, et al.
Korean Journal of Radiology|August 28, 2025
Multiparametric MRI Features of Plasmacytoid Urothelial Carcinoma of the Urinary BladderYeo Eun Han, Deuk Jae Sung, Hyun Yee Cho, et al.
Abdominal Radiology (New York)|April 20, 2022
Ectopic lesions in the abdomen and pelvis: a multimodality pictorial reviewJeong Woo Kim, Kyeong Ah Kim, Ki Choon Sim, et al.
Abdominal Radiology (New York)|July 22, 2020
How to accurately measure the distance from the anal verge to rectal cancer on MRI: a prospective study using anal verge markersYeo Eun Han, Beom Jin Park, Deuk Jae Sung, et al.
Journal of Korean Medical Science|December 20, 2022
Radiomics Analysis of Magnetic Resonance Proton Density Fat Fraction for the Diagnosis of Hepatic Steatosis in Patients With Suspected Non-Alcoholic Fatty Liver DiseaseKi Choon Sim, Min Ju Kim, Yongwon Cho, et al.
Abdominal Radiology (New York)|October 26, 2023
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 responseSeung Ha Cha, Ka-Won Kang, Na Yeon Han, et al.
Journal of Computer Assisted Tomography|April 28, 2022
Diagnostic Feasibility of Magnetic Resonance Elastography Radiomics Analysis for the Assessment of Hepatic Fibrosis in Patients With Nonalcoholic Fatty Liver DiseaseKi Choon Sim, Min Ju Kim, Yongwon Cho, et al.
Pageof 5

Showing results (31-40 of 42) with videos related to

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Abdominal Radiology (New York)|September 21, 2022
Hepatocellular carcinoma pathologic grade prediction using radiomics and machine learning models of gadoxetic acid-enhanced MRI: a two-center studyYeo Eun Han, Yongwon Cho, Min Ju Kim, et al.
Academic Radiology|December 10, 2024
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 ReportsNa Yeon Han, Keewon Shin, Min Ju Kim, et al.
Scientific Reports|July 9, 2026
Deep learning integration of initial abdominal radiography and early clinical information for predicting hospitalization of patients with abdominal symptomsAhsan Aziz, Yeo Eun Han, Awais Khan, et al.
Diagnostics (Basel, Switzerland)|March 13, 2025
Assessing Image Quality in Multiplexed Sensitivity-Encoding Diffusion-Weighted Imaging with Deep Learning-Based Reconstruction in Bladder MRISeung Ha Cha, Yeo Eun Han, Na Yeon Han, et al.
Korean Journal of Radiology|August 28, 2025
Multiparametric MRI Features of Plasmacytoid Urothelial Carcinoma of the Urinary BladderYeo Eun Han, Deuk Jae Sung, Hyun Yee Cho, et al.
Abdominal Radiology (New York)|April 20, 2022
Ectopic lesions in the abdomen and pelvis: a multimodality pictorial reviewJeong Woo Kim, Kyeong Ah Kim, Ki Choon Sim, et al.
Abdominal Radiology (New York)|July 22, 2020
How to accurately measure the distance from the anal verge to rectal cancer on MRI: a prospective study using anal verge markersYeo Eun Han, Beom Jin Park, Deuk Jae Sung, et al.
Journal of Korean Medical Science|December 20, 2022
Radiomics Analysis of Magnetic Resonance Proton Density Fat Fraction for the Diagnosis of Hepatic Steatosis in Patients With Suspected Non-Alcoholic Fatty Liver DiseaseKi Choon Sim, Min Ju Kim, Yongwon Cho, et al.
Abdominal Radiology (New York)|October 26, 2023
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 responseSeung Ha Cha, Ka-Won Kang, Na Yeon Han, et al.
Journal of Computer Assisted Tomography|April 28, 2022
Diagnostic Feasibility of Magnetic Resonance Elastography Radiomics Analysis for the Assessment of Hepatic Fibrosis in Patients With Nonalcoholic Fatty Liver DiseaseKi Choon Sim, Min Ju Kim, Yongwon Cho, et al.
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