About Me

I received my DVM and M.S. from Seoul National University, College of Veterinary Medicine. My M.S. research was on image-based machine learning for disease diagnosis.

I am currently an AI Research Lead at Madup Inc., and was previously at Seoul National University Hospital and VUNO Inc.

Research Interests

Interpretable Medical AI Attention-based Deep Learning Clinical Prognosis Prediction Digital Pathology Computer-aided Diagnosis Survival Analysis

Contact

Email
[email protected]
Website
leehongseok.com
Google Scholar
Hongseok Lee
GitHub
hongseok-lee

Education

Seoul National University
M.S., College of Veterinary Medicine
Thesis: Diagnosis of swine lung lesion through image-based machine learning
2018
Seoul National University
Doctor of Veterinary Medicine (DVM)
2017

Positions

Madup Inc.
AI Research Lead
Jul 2025 – Present
Seoul National University Hospital
Principal AI Researcher
Feb 2024 – Jul 2025
VUNO Inc.
Project Lead, Prognosis AI
May 2019 – Feb 2024

Publications

Journal Articles

[J9] Accelerated Aging and Aging Velocity from Deep Learning–based Chest Radiograph–derived Age for Predicting Cause-specific Mortality
Y Chang, H Kim, S Lee, H Lee, SH Yoon, S Ryu
Radiology: Artificial Intelligence, e250609, 2026
[J8] Standalone Prognostication of Idiopathic Pulmonary Fibrosis Using Attention-Based Deep Learning
JH Lee*, KJ Chae*, HS Lee*, J Park, SM Choi, JM Goo, H Kim (* co-first)
American Journal of Respiratory and Critical Care Medicine, aamag098, 2026
[J7] Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
W Bulten, K Kartasalo, PHC Chen, P Ström, H Pinckaers, K Nagpal, Y Cai, ...
Nature Medicine 28 (1), 154–163, 2022
[J6] DeNTNet: Deep Neural Transfer Network for the detection of periodontal bone loss using panoramic dental radiographs
J Kim, HS Lee, IS Song, KH Jung
Scientific Reports 9 (1), 1–9, 2019
[J5] Evaluation of a human glycated hemoglobin test in canine diabetes mellitus
NY Kim, J An, JK Jeong, S Ji, SH Hwang, HS Lee, MC Kim, HW Kim, ...
Journal of Veterinary Diagnostic Investigation 31 (3), 408–414, 2019
[J4] Hypoxia promotes acquisition of aggressive phenotypes in human malignant mesothelioma
MC Kim, SH Hwang, NY Kim, HS Lee, S Ji, Y Yang, Y Kim
BMC Cancer 18 (1), 819, 2018
[J3] Integrated analysis of microRNA and mRNA expressions in peripheral blood leukocytes of Warmblood horses before and after exercise
HA Kim, MC Kim, NY Kim, DY Ryu, HS Lee, Y Kim
Journal of Veterinary Science 19 (1), 99–106, 2018
[J2] Trauma-associated hyperglycemia after fall accident in three dogs
S Ji, NY Kim, MC Kim, HS Lee, SH Hwang, Y Kim
Journal of Veterinary Clinics 35 (2), 67–69, 2018
[J1] Evaluation of the correlation between gross lung score and microscopic diagnosis for swine pneumonia in Korean slaughterhouses
HS Lee, MC Kim, NY Kim, SH Hwang, S Ji, YK Park, YH Park, Y Kim
Korean Journal of Veterinary Research 57 (4), 227–233, 2017

Conference Papers

[C5] Pre-Deployment Advertisement Ranking under Data Scarcity via Context-Aware Criteria Generation with VLMs
K Kim, Y Choi, G Hwang, S Chung, HS Lee†, MH Song, Y Kim, S Kim, J Lee, J Kim, K Shin († co-corresponding)
Association for Computational Linguistics (ACL) Industry Track, 2026 (Oral)
[C4] Context-Aware Criteria Generation with VLMs for Advertisement Ranking under Data Scarcity
K Kim, Y Choi, G Hwang, S Chung, HS Lee, MH Song, Y Kim, S Kim, J Lee, J Kim, K Shin
ICLR 2026 Workshop on Navigating and Addressing Data Problems for Foundation Models (DATA-), 2026
[C3] A neural pre-conditioning active learning algorithm to reduce label complexity
ST Kong, S Jeon, D Na, J Lee, HS Lee, KH Jung
Advances in Neural Information Processing Systems (NeurIPS) 35, 32842–32853, 2022
[C2] Abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade Assessment
H Kim, ST Kong, H Lee, K Kim, KH Jung
Workshop on Medical Image Learning with Limited and Noisy Data (MILLanD), 23–31, 2022
[C1] PopEval: A Character-Level Approach to End-to-End Evaluation Compatible with Word-Level Benchmark Dataset
HS Lee, Y Yoon, PH Jang, C Choi
International Conference on Document Analysis and Recognition (ICDAR), 2019

Conference Abstracts

[A2] Spatial distribution of immune cells as quantitative prognosis indicator in hepatocellular carcinoma
H Lee, K Kim, G Kang, KH Jung, SS Lee
Cancer Research 82 (12_Supplement), 1721–1721 (AACR), 2022
[A1] Development of Slide Scan System Using Smart Phone
HS Lee, SH Hwang, Y Yang, Y Jeong, Y Kim
Korean Journal of Veterinary Clinical Medicine 36 (1), 18–18, 2019

Patents

United States

Method for Measuring Lesion of Medical Image
US 12,236,585 B2 · Feb 2025
Method for Converting Part of Dental Image
US 12,544,189 B2 · 2026

Republic of Korea

Dataset Construction Method
KR 10-2501793-0000 · 2023
Method for Providing Dental Lesion Information
KR 10-2186709-0000 · 2020
Method for Converting Part of Dental Image
KR 10-2448395-0000 · 2022

Awards

Kaggle PANDA Challenge — Gold Medal
Top 1% (out of 1,010 teams) · Prostate cANcer graDe Assessment · 2020
ERD Day Research Presentation Award
Seoul National University, College of Veterinary Medicine

Software

ORACLE-IPF
Attention-based deep learning model for standalone prognostication of idiopathic pulmonary fibrosis from chest CT. Released as an ensemble of 5 checkpoints.
HuggingFace
PopEval
Character-level OCR evaluation algorithm. Adopted by NAVER Corporation as an internal evaluation tool for their OCR systems.
GitHub (NAVER)