Jeong Min Lee

Professor

Seoul National University College of Medicine

South Korea

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About

Jeong Min Lee is a Professor at Seoul National University College of Medicine in South Korea. His research focuses on advanced imaging techniques for liver diseases, particularly hepatocellular carcinoma, and includes studies on metabolic dysfunction and ultrasound diagnostic methods. He has contributed to numerous publications addressing the diagnostic value of imaging and the evolution of treatment response assessments in liver pathology.

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2025

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2023

Collaborators (9)

Jeong Hee Yoon

Seoul National University Hospital

SOUTH KOREA

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Hyo-Jin Kang

Seoul National University Hospital

SOUTH KOREA

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Jonathan Revels

Clinical Assistant Professor

New York University

UNITED STATES

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Junghoan Park

Seoul National University Hospital

SOUTH KOREA

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Tae Young Lee

Seoul National University Hospital

SOUTH KOREA

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Christiane K. Kuhl

University Hospital RWTH Aachen

GERMANY

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Ijin Joo

Seoul National University Hospital

SOUTH KOREA

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Jae Seok Bae

Seoul National University Hospital

SOUTH KOREA

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Chul-Min Lee

SOUTH KOREA

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Jeong Min Lee

Research Interests

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Articles (20)

Intraindividual Comparison of Image Quality Between Low-Dose and Ultra-Low-Dose Abdominal CT With Deep Learning Reconstruction and Standard-Dose Abdominal CT Using Dual-Split Scan

Metabolic Dysfunction–Associated Steatotic Liver Disease at Quantitative US: International Prospective Study

Value of threshold growth for the diagnosis of hepatocellular carcinoma using LI-RADS

The Evolving Role of Imaging in Hepatocellular Carcinoma: From Pathomolecular Profiling to Prognostic Decision-Making

Temporal evolution of the LI-RADS radiation treatment response assessment on multiphase CT/MRI in patients undergoing selective internal radiation therapy for hepatocellular carcinoma

Enhanced radiofrequency ablation for recurrent hepatocellular carcinoma post-transarterial chemoembolization: a prospective study utilizing twin internally cooled-perfusion electrodes

Ultrasound-based steatosis grading system using 2D-attenuation imaging: An individual patient data meta-analysis with external validation

Response to “Endoscopic Ultrasound-Guided Fine-Needle Aspiration for Pancreatic Cysts >2.5 cm Without Worrisome Features or High-Risk Stigmata”

State-of-the-Art Deep Learning CT Reconstruction Algorithms in Abdominal Imaging

Contrast vector imaging for differential diagnosis of focal liver lesions: Analysis of tumoral vascular structures and flow characteristics

Sonazoid-enhanced ultrasonography for noninvasive imaging diagnosis of hepatocellular carcinoma: special emphasis on the 2022 KLCA-NCC guideline

Clinical feasibility of radiofrequency ablation using novel adjustable separable electrodes with a multipurpose needle for treating small hepatocellular carcinomas: a prospective single center study

Deep learning-based iodine contrast-augmenting algorithm for low-contrast-dose liver CT to assess hypovascular hepatic metastasis

Intra-individual comparison of two-dimensional shear wave elastography techniques using plane wave imaging and the multi-beam technique: are they interchangeable in measuring liver fibrosis?

Two-dimensional Convolutional Neural Network Using Quantitative US for Noninvasive Assessment of Hepatic Steatosis in NAFLD

Development of a deep-learning model for classification of LI-RADS major features by using subtraction images of MRI: a preliminary study

Anatomical ablation for small hepatocellular carcinomas using multiple applicators: a preliminary study

Newly developed sarcopenia after liver transplantation, determined by a fully automated 3D muscle volume estimation on abdominal CT, can predict post-transplant diabetes mellitus and poor survival outcomes

Efficacy and Safety of Half-Dose Gadopiclenol versus Full-Dose Gadobutrol for Contrast-enhanced Body MRI

Post-neoadjuvant treatment pancreatic cancer resectability and outcome prediction using CT, 18F-FDG PET/MRI and CA 19–9

Collaborators (9)

Jeong Hee Yoon

Hyo-Jin Kang

Jonathan Revels

Junghoan Park

Tae Young Lee

Christiane K. Kuhl

Ijin Joo

Jae Seok Bae

Chul-Min Lee

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