Jonghyun Lee

Publications

Research area
Year

35 works

2026

  1. Cryptogenic Steatotic Liver Disease: A Lean Phenotype Associated With Increased Liver-Related Mortality

    Eileen Laurel Yoon, Hyo Young Lee, Jonghyun Lee, Joo Hyun Oh, Inseok Hwang, Chan Hee Park, Sejung Kim, Huiyul Park, Ae Jeong Jo, Dae Won Jun

    Gut, 2026

    Paper Population Health

  2. Dynamics of Immune-Checkpoint Regulators and Inflammatory Cytokines and Chemokines Associated With Preterm Birth Before and After Cervical Cerclage

    Seri Jeong, Keun-Young Lee, Ga-Hyun Son, Kyong-No Lee, Won Kyong Cho, Hoseong Choi, Jonghyun Lee, Joanne Kwak-Kim

    Frontiers in Immunology, 2026

    Paper Population Health

  3. Rule-Out Cut-Off of 2D-Shear Wave Elastography for Significant Fibrosis in MASLD

    Joo Hyun Oh*, Jonghyun Lee*, Miyoung Choi, Kento Imajo, Masato Yoneda, Hideki Fujii, Hyo Young Lee, Eileen L. Yoon, Mimi Kim, Dae Won Jun

    Clinical Gastroenterology and Hepatology, 2026

    Paper Population Health * Co-first author
  4. Restricted cubic spline analysis of IGF-1 and incident prostate cancer risk

    Polygenic Risk Score Predicts Prostate Cancer Risk Independent of Type 2 Diabetes

    Guk Jin Lee, Sang-Hyuk Jung, Jonghyun Lee, Ki Won Moon, Jae-Seung Yun, Dokyoon Kim

    Diabetes, Obesity and Metabolism, 2026

    Paper Population Health
  5. Figure 1 from the gastric spindle cell tumor classification study

    Subtype Classification of Gastric Spindle Cell Tumors in Whole Slide Images

    Hyeseong Lee, Yoo Jin Lee, Eunsu Kim, Jonghyun Lee, Sangjeong Ahn, Sung Hak Lee

    Computers in Biology and Medicine, 2026

    Paper Computational Pathology

  6. Interpreting Genomic Language Models Using Sparse Autoencoders

    Akira A. Nair, Jaehyun Joo, Jonghyun Lee, Lina Takemaru, Yidi Huang, Manu Shivakumar, Matthew E. Lee, Jaesik Kim, Sokratis Apostolidis, Dokyoon Kim

    The International Conference on Machine Learning (ICML), 2026

    Project Multimodal AI

2025

  1. Overview of the AdaSlide adaptive whole-slide image compression framework

    Adaptive Compression Framework for Giga-pixel Whole Slide Images

    Jonghyun Lee, Lina Takemaru, Dewan M. Bappy, Ye Sul Jeong, Won-Ki Jeong, Derek Oldridge, Dokyoon Kim, Sangjeong Ahn, Sung Hak Lee

    Nature Communications, 2025

    Paper Computational Pathology
  2. Overview of the CALM multimodal image-text framework

    Clinically Aligned Multi-Modal Image-Text Model for Pan-Cancer Prognosis Prediction

    Jonghyun Lee, Jacob S. Leiby, Lina Takemaru, Yidi Huang, Myung-Giun Noh, Jaesik Kim, Byonghan Lee, Matthew E. Lee, Derek A. Oldridge, Young-Gyu Eun, Hyun Jee Lee, Young Chan Lee, Dokyoon Kim

    BioData Mining, 2025

    Paper Computational Pathology

  3. Fusing Domains for Tumor Detection in Frozen Section Histopathology Using Joint Feature Alignment and Self-Knowledge Distillation

    Eunsu Kim, Yoo Jin Lee, Jonghyun Lee, Hyeseong Lee, D. M. Bappy, Sangjeong Ahn, Sung Hak Lee

    IEEE Access, 2025

    Paper Computational Pathology
  4. Annual trend of antiviral treatment before hepatocellular carcinoma diagnosis

    Changes in Antiviral Treatment Rate for Hepatitis B Virus Before Hepatocellular Carcinoma Diagnosis

    Young Eun Chon, Jonghyun Lee, Eileen L. Yoon, Soon Sun Kim, Sang Bong Ahn, Soung Won Jeong, Dae Won Jun

    European Journal of Gastroenterology & Hepatology, 2025

    Paper Population Health

  5. Clinical Course and Prognosis of Long-Term Survivors of Hepatocellular Carcinoma

    Soon Sun Kim, Jonghyun Lee, Sang Bong Ahn, Young Eun Chon, Eileen Yoon, Soung Won Jeong, Dae Won Jun

    Alimentary Pharmacology & Therapeutics, 2025

    Paper Population Health

  6. MAESTRO: Masked Encoding Set Transformer With Self-Distillation

    Matthew E. Lee, Jaesik Kim, Matei Ionita, Jonghyun Lee, Michelle McKeague, Yonghyun Nam, Irene Khavin, Yidi Huang, Victoria Fang, Sokratis Apostolidis, Divij Mathew, Shwetank, Ajinkya Pattekar, Zahabia Rangwala, Amit Bar-Or, Benjamin Fensterheim, Benjamin Abramoff, Rennie Rhee, Damian Maseda, Allison R. Greenplate, John Wherry, Dokyoon Kim

    International Conference on Learning Representations (ICLR), 2025

    Paper Cytometry

2024

  1. Overview of the hard negative mining training and inference pipeline

    A Robust Model Training Strategy Using Hard Negative Mining in a Weakly Labeled Dataset for Lymphatic Invasion in Gastric Cancer

    Jonghyun Lee, Sangjeong Ahn, Hyun-Soo Kim, Jungsuk An, Jongmin Sim

    The Journal of Pathology: Clinical Research, 2024

    Paper Computational Pathology
  2. MMF-DTI multi-modal fusion architecture for drug–target interaction prediction

    Multi-Modal Fusion-Based Lightweight Model for Enhanced Generalization in Drug–Target Interaction Prediction

    Jonghyun Lee, Dokyoon Kim, Dae Won Jun, Yun Kim

    Journal of Chemical Information and Modeling, 2024

    Paper Drug Discovery
  3. DLM-DTI model workflow from drug and target encoders to interaction prediction

    DLM-DTI: Prediction of Drug–Target Interactions Using Molecule and Protein Language Modeling

    Jonghyun Lee, Dae Won Jun, Ildae Song, Yun Kim

    Journal of Cheminformatics, 2024

    Paper Drug Discovery
  4. Schematic of the LVI Net preprocessing and model workflow

    Ensemble Deep Learning Model to Predict Lymphovascular Invasion in Gastric Cancer

    Jonghyun Lee, Seunghyun Cha, Jiwon Kim, Jung Joo Kim, Namkug Kim, Seong Gyu Jae Gal, Ju Han Kim, Jeong Hoon Lee, Yoo-Duk Choi, Sae-Ryung Kang, Ga-Young Song, Deok-Hwan Yang, Jae-Hyuk Lee, Kyung-Hwa Lee, Sangjeong Ahn, Kyoung Min Moon, Myung-Giun Noh

    Cancers, 2024

    Paper Computational Pathology
  5. Analytical workflow for identifying a relapse gene signature in triple-negative breast cancer

    Machine Learning-Based Prognostic Gene Signature for Early Triple Negative Breast Cancer

    Ju Won Kim*, Jonghyun Lee*, Sung Hak Lee, Sangjeong Ahn, Kyong Hwa Park

    Cancer Research and Treatment, 2024

    Paper Multimodal AI * Co-first author
  6. Study design for weakly supervised molecular classification of breast cancer slides

    Molecular Classification of Breast Cancer Using Weakly Supervised Learning

    Wooyoung Jang, Jonghyun Lee, Kyong Hwa Park, Aeree Kim, Sung Hak Lee, Sangjeong Ahn

    Cancer Research and Treatment, 2024

    Paper Computational Pathology
  7. Workflow for predicting immunochemotherapy response from histopathology images

    Prediction of Immunochemotherapy Response for Diffuse Large B Cell Lymphoma Using Artificial Intelligence Digital Pathology

    Jeong Hoon Lee, Ga-Young Song, Jonghyun Lee, Sae-Ryung Kang, Kyoung Min Moon, Yoo-Duk Choi, Jeanne Shen, Myung-Giun Noh, Deok-Hwan Yang

    The Journal of Pathology: Clinical Research, 2024

    Paper Computational Pathology

2023

  1. Drug-like molecule pre-training strategy overview

    The Drug-Like Molecule Pre-Training Strategy for Drug Discovery

    Jonghyun Lee, In-Soo Myeong, Yun Kim

    IEEE Access, 2023

    Paper Drug Discovery
  2. Participant flow for the hepatocellular carcinoma surveillance study

    Regular Alpha-Fetoprotein Tests Boost Curative Treatment and Survival for Hepatocellular Carcinoma Patients in an Endemic Area

    Joo Hyun Oh, Jonghyun Lee, Eileen L. Yoon, Soung Won Jeong, Soon Sun Kim, Young Eun Chon, Sang Bong Ahn, Dae Won Jun

    Cancers, 2023

    Paper Population Health
  3. Study flow for screening advanced hepatic fibrosis in health check-up participants

    Diagnostic Performance of the Fibrosis-4 Index and the NAFLD Fibrosis Score for Screening At-Risk Individuals in a Health Check-Up Setting

    Huiyul Park, Eileen L. Yoon, Mimi Kim, Jonghyun Lee, Hye-Lin Kim, Seon Cho, Eun-Hee Nah, Dae Won Jun

    Hepatology Communications, 2023

    Paper Population Health
  4. Study flow for evaluating fibrosis scores in lean adults with NAFLD

    Diagnostic Performance of the Fibrosis-4 Index and NAFLD Fibrosis Score in Lean Adults With Nonalcoholic Fatty Liver Disease

    Huiyul Park, Eileen L. Yoon, Takanori Ito, Ae Jeong Jo, Mimi Kim, Jonghyun Lee, Hye-Lin Kim, Taeang Arai, Masanori Atsukawa, Miwa Kawanaka, Hidenori Toyoda, Masatoshi Ishigami, Ming-Lung Yu, Dae Won Jun, Mindie H. Nguyen

    JAMA Network Open, 2023

    Paper Population Health
  5. Figure 1 from the study of noninvasive fibrosis tests in a young population

    Diagnostic Performance of Noninvasive Tests for Advanced Hepatic Fibrosis in a Young-Age Population

    Mimi Kim, Eileen Laurel Yoon, Jonghyun Lee, Seon Cho, Chul-Min Lee, Bo Kyeong Kang, Huiyul Park, Dae Won Jun, Eun-Hee Nah

    Clinical Gastroenterology and Hepatology, 2023

    Paper Population Health
  6. Comorbid diseases in patients with hepatitis C virus infection

    The Incidence and Care Cascade of the Hepatitis C Virus in Korea

    Young Eun Chon, Aejeong Jo, Eileen L. Yoon, Jonghyun Lee, Ho Gyun Shin, Min Jung Ko, Dae Won Jun

    Gut and Liver, 2023

    Paper Population Health
  7. Annual hepatocellular carcinoma incidence and projected incidence through 2028

    Hepatocellular Carcinoma Incidence Is Decreasing in Korea but Increasing in the Very Elderly

    Young Eun Chon, Seong Yong Park, Han Pyo Hong, Donghee Son, Jonghyun Lee, Eileen Yoon, Soon Sun Kim, Sang Bong Ahn, Soung Won Jeong, Dae Won Jun

    Clinical and Molecular Hepatology, 2023

    Paper Population Health

2022

  1. Overview of the EBVNet training, fine-tuning, and external validation workflow

    Deep Learning Model to Predict Epstein–Barr Virus-Associated Gastric Cancer in Histology

    Yeojin Jeong, Cristina Eunbee Cho, Ji-Eon Kim, Jonghyun Lee, Namkug Kim, Woon Yong Jung, Joohon Sung, Ju Han Kim, Yoo Jin Lee, Jiyoon Jung, Juyeon Pyo, Jisun Song, Jihwan Park, Kyoung Min Moon, Sangjeong Ahn

    Scientific Reports, 2022

    Paper Computational Pathology

  2. A Deep Learning Approach for Fatigue Prediction in Sports Using GPS Data and Rate of Perceived Exertion

    Jeongbin Kim, Hyunsung Kim, Jonghyun Lee, Jaechan Lee, Jinsung Yoon, Sang-Ki Ko

    IEEE Access, 2022

    Paper Multimodal AI

  3. A Reappraisal of the Diagnostic Performance of B-Mode Ultrasonography for Mild Liver Steatosis

    Chul-Min Lee, Eileen L. Yoon, Atsushi Nakajima, Masato Yoneda, Hidenori Toyoda, Satoshi Yasuda, Jonghyun Lee, Mimi Kim, Bo-Kyeong Kang, Mindie H. Nguyen, Dae Won Jun, Yoshio Sumida

    American Journal of Gastroenterology, 2022

    Paper Population Health

  4. Ovarian Masses in Patients With Breast Cancer

    Kyung A. Kang, Jonghyun Lee, Hyun-Soo Kim, Sung Yoon Park

    Journal of Computer Assisted Tomography, 2022

    Paper Population Health

2021

  1. Comparison of Diagnostic Performance Between FIB-4 and NFS in the Metabolic-Associated Fatty Liver Disease Era

    Huiyul Park, Eileen L. Yoon, Mimi Kim, Jonghyun Lee, Jung-Hwan Kim, Seon Cho, Dae Won Jun, Eun-Hee Nah

    Hepatology Research, 2021

    Paper Population Health
  2. Participant flow for identifying a primary-care population for hepatic fibrosis screening

    Determining the Target Population That Would Most Benefit From Screening for Hepatic Fibrosis in a Primary Care Setting

    Su Hyun Park*, Jonghyun Lee*, Dae Won Jun, Kyung A. Kang, Ji Na Kim, Hee Jin Park, Han Pyo Hong

    Diagnostics, 2021

    Paper Population Health * Co-first author

2019

  1. The Effect of Transcranial Direct Current Stimulation on Hippocampus for Episodic Memory Modulation

    Jonghyun Lee, Sanghoon Han

    Master’s Thesis, Yonsei University, 2019

    Neuroimaging

2018

  1. Interactivity Within a Large-Scale Brain Network Recruited for Retrieval of Temporally Organized Events

    Yoonjin Nah, Jonghyun Lee, Sanghoon Han

    Korean Journal of Cognitive Science, 2018

    Paper Neuroimaging
  2. Brain regions showing altered roles in the default mode network after frontopolar tDCS

    Group Analysis Data Representing the Effects of Frontopolar Transcranial Direct Current Stimulation on the Default Mode Network

    Jeesung Ahn, Jonghyun Lee, Jin Hyuk Han, Min Seong Kang, Sanghoon Han

    Data in Brief, 2018

    Paper Neuroimaging