Publications

Selected journal articles, conference papers, and ongoing research from the Ajou Medical AI Laboratory.

2026

Predicting Stereotactic Body Radiation Therapy Response Using an AI-Based Tumor Vessel Biomarker

Jun Hyeong Park, Jun Hyeok Lim, Seonhwa Kim, Chul-Ho Kim, Seulgi You, Jeong-Seok Choi, Jae Won Chang, Dongil Park, Myung-Won Lee, Sup Kim, In Young Jo, Hyung Kwon Byeon, Ki Nam Park, Byung-Joo Lee, Sung-Chan Shin, Yong-Il Cheon, Jaesung Heo

Technology in Cancer Research & Treatment, 2026  |  DOI

Robust Multimodal Deep Learning for Lymphoma Subtype Classification Using 18F-FDG PET Maximum Intensity Projection Images and Clinical Data: A Multi-Center Study

Seonhwa Kim, Jun Hyeong Park, Chul-Ho Kim, Seulgi You, Jeong-Seok Choi, Jae Won Chang, In Young Jo, Byung-Joo Lee, Il-Seok Park, Han Su Kim, Yong-Jin Park, Jaesung Heo

Cancers, 2026  |  DOI

2025

Clinical reasoning from real-world oncology reports using large language models

Jun Hyeong Park, Seonhwa Kim, Jaesung Heo

Digital Health, 2025  |  DOI

MetaboGNN: predicting liver metabolic stability with graph neural networks and cross-species data

Jun Hyeong Park, Ri Han, Junbo Jang, Jisan Kim, Joonki Paik, Jaesung Heo, Yoonji Lee

Journal of Cheminformatics, 2025  |  DOI

Systematic construction of composite radiation therapy dataset using automated data pipeline for prognosis prediction

June Hyuck Lim, Seonhwa Kim, Jun Hyeong Park, Chul-Ho Kim, Jeong-Seok Choi, Jae Won Chang, Sup Kim, Il-Seok Park, Boram Ha, In Young Jo, Hyung Kwon Byeon, Ki Nam Park, Han Su Kim, Soo Yeon Jung, Jaesung Heo

International Journal of Medical Informatics, 2025  |  DOI

2024

A Multi-label Artificial Intelligence Approach for Improving Breast Cancer Detection With Mammographic Image Analysis

Jun Hyeong Park, June Hyuck Lim, Seonhwa Kim, Jaesung Heo

In Vivo, 2024  |  DOI

Deep learning-based analysis of EGFR mutation prevalence in lung adenocarcinoma H&E whole slide images

Jun Hyeong Park, June Hyuck Lim, Seonhwa Kim, Chul-Ho Kim, Jeong-Seok Choi, Jun Hyeok Lim, Lucia Kim, Jae Won Chang, Dongil Park, Myung-Won Lee, Sup Kim, Il-Seok Park, Seung Hoon Han, Eun Shin, Jin Roh, Jaesung Heo

Journal of Pathology Clinical Research, 2024  |  DOI

Development of a multi-modal learning-based lymph node metastasis prediction model for lung cancer

Jeongmin Park, Seonhwa Kim, June Hyuck Lim, Chul-Ho Kim, Seulgi You, Jeong-Seok Choi, Jun Hyeok Lim, Jae Won Chang, Dongil Park, Myung-Won Lee, Byung-Joo Lee, Sung-Chan Shin, Yong-Il Cheon, Il-Seok Park, Seung Hoon Han, Daemyung Youn, Hye Sang Lee, Jaesung Heo

Clinical Imaging, 2024  |  DOI

Deep learning-radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients

Seonhwa Kim, June Hyuck Lim, Chul-Ho Kim, Jin Roh, Seulgi You, Jeong-Seok Choi, Jun Hyeok Lim, Lucia Kim, Jae Won Chang, Dongil Park, Myung-Won Lee, Sup Kim, Jaesung Heo

Scientific Reports, 2024  |  DOI

2023

Effectiveness of Self-Assessment, TAilored Information, and Lifestyle Management for Cancer Patients' Returning to Work (START): A Multi-center, Randomized Controlled Trial

Danbee Kang, et al.

Cancer Research and Treatment, 2023  |  DOI

2022

Deep learning model for tongue cancer diagnosis using endoscopic images

Jaesung Heo, June Hyuck Lim, Hye Ran Lee, Jeon Yeob Jang, Yoo Seob Shin, Dahee Kim, Jae Yol Lim, Young Min Park, Yoon Woo Koh, Soon-Hyun Ahn, Eun-Jae Chung, Doh Young Lee, Jungirl Seok, Chul-Ho Kim

Scientific Reports, 2022  |  DOI

Prognostic Significance of Initial Absolute Lymphocyte Count in Adjuvant Radiotherapy for Pancreatic Adenocarcinoma

Jaesung Heo, O Kyu Noh

Biomedicines, 2022  |  DOI

2021

Mental Disorders in Nasopharyngeal Carcinoma Patients Receiving Radiation Therapy: A Nationwide Population-based Study

O Kyu Noh, Jaesung Heo

In Vivo, 2021  |  DOI

COVID-19 pandemic: a new cause of unplanned interruption of radiotherapy in breast cancer patients

Shiho Lee, Jaesung Heo

Medical Oncology, 2021  |  DOI

Liquid-type nonthermal atmospheric plasma enhanced regenerative potential of silk-fibrin composite gel in radiation-induced wound failure

Hye Ran Lee, Hye-Young Lee, Jaesung Heo, Jeon Yeob Jang, Yoo Seob Shin, Chul-Ho Kim

Materials Science & Engineering C, 2021  |  DOI