Ji Eun Park, MD, PhD

Dr. Ji Eun Park is an expert in neuroradiology and neuro-oncologic imaging, with particular expertise in advanced MRI and artificial intelligence for brain tumors.

Dr. Park earned her medical degree and Ph.D. from Ewha Womans University (magna cum laude) and completed her diagnostic radiology residency at Ewha Womans University Mokdong Hospital and neuroradiology fellowship at Asan Medical Center, University of Ulsan. She subsequently joined the faculty at Asan Medical Center, where she advanced to Associate Professor of Radiology. She later served as a Visiting Professor at UCLA before completing a clinical fellowship in neuroradiology at the Johns Hopkins University School of Medicine.

Dr. Park is an internationally recognized clinician-scientist whose research focuses on improving the diagnosis, treatment monitoring, and outcome prediction of brain tumors using advanced physiologic MRI, quantitative imaging, and artificial intelligence. Her work includes perfusion MRI, amide proton transfer imaging, radiomics, deep learning, and tumor habitat analysis, with particular emphasis on distinguishing tumor progression from treatment-related change.

Dr. Park has authored more than 140 original research articles, including publications in Radiology, Neuro-Oncology, and Clinical Cancer Research. She currently serves as Deputy Editor for AI and Neuro-oncology for the Journal of Magnetic Resonance Imaging and as an Editorial Board Member for the Korean Journal of Radiology.

She has lectured nationally and internationally on brain tumor imaging, advanced MRI, radiomics, and artificial intelligence, including the 2023 NIBIB New Horizons Lecture at the International Society for Magnetic Resonance in Medicine Annual Meeting. Her honors include the AccuZen Young Investigator’s Award from the Korean Society of Radiology and multiple national research and presentation awards.

Brain tumor imaging, advanced MRI, and artificial intelligence

1. Park JE, Shao G, Baisiwala S, Kim N, Tan A, Sanvito F, et al. Pathology-validated structural and physiologic habitat imaging for differentiating radiation necrosis from tumor recurrence in brain metastases. Journal of Neuro-Oncology. 2026;179(2):61.
2. Moon HH, Wongsawaeng D, Park JE, et al. Maximum Resection of Noncontrast-enhanced Tumor at MRI Is a Favorable Prognostic Factor in IDH Wild-Type Glioblastoma. Radiology. 2025 May;315(2):e241393.
3. Park JE, Oh JY, Park DH, Lee HS, Yoon S, Kim N, Park SY, Song SW, Kim YH, Hong CK, Kim JH, Kim HS. Mapping tumor habitats in isocitrate dehydrogenase-wild type glioblastoma: Integrating MRI, pathologic, and RNA data from the Ivy Glioblastoma Atlas Project. Neuro-Oncology. 2025;27(1):291-301
4. Moon HH, Jeong J, Park JE, Kim N, Choi C, Kim YH, Song SW, Hong CK, Kim JH, Kim HS. Generative AI in glioma: Ensuring diversity in training image phenotypes to improve diagnostic performance for IDH mutation prediction. Neuro-Oncology. 2024;26(6):1124-1135.
5. Park JE, Kim HS, Kim N, Park SY, Kim YH, Kim JH. Spatiotemporal Heterogeneity in Multiparametric Physiologic MRI Is Associated with Patient Outcomes in IDH-Wildtype Glioblastoma. Clinical Cancer Research. 2021;27(1):237-245.
6. Park JE, Kim HS, Park SY, Nam SJ, Chun SM, Jo Y, Kim JH. Prediction of Core Signaling Pathway by Using Diffusion- and Perfusion-based MRI Radiomics and Next-generation Sequencing in Isocitrate Dehydrogenase Wild-type Glioblastoma. Radiology. 2020;294(2):388-397.
7. Park JE, Kim HS, Goh MJ, Kim SJ, Kim JH. Pseudoprogression in Patients with Glioblastoma: Assessment by Using Volume-weighted Voxel-based Multiparametric Clustering of MR Imaging Data in an Independent Test Set. Radiology. 2015;275(3):792-802.

• David M. Yousem Research Fellow Award, American Society of Neuroradiology, 2026
• Best Abstract Award, Korean Congress of Radiology, 2023
• AccuZen Young Investigator’s Award, Korean Society of Radiology, 2022
• Professor of the Year for Research Activities, University of Ulsan College of Medicine/Asan Medical Center, 2020
• Grand Prize, Best Publication Award, Korean Society of Radiology, 2018
• Best Oral Presentation Awards, Korean Society of Magnetic Resonance Imaging in Medicine, 2017–2019
• Best Publication Award, Korean Society of Radiology, 2016
• Summa Cum Laude Oral Presentation Award, Asia-Oceanian Society of Neuroradiology, 2015

• American Society of Neuroradiology (ASNR)
• International Society for Magnetic Resonance in Medicine (ISMRM)
• Society for Neuro-Oncology (SNO)
• Korean Society of Radiology (KSR)
• Korean Society of Neuroradiology (KSNR)
• Korean Society of Magnetic Resonance Imaging in Medicine (KSMRM)
• Korean Society for Neuro-Oncology (KSNO)

• Deputy Editor, AI and Neuro-oncology, Journal of Magnetic Resonance Imaging, 2023–present
• Editorial Board Member, Neuroradiology, Korean Journal of Radiology, 2021–present
• Chair of International Affairs, Korean Society of Magnetic Resonance Imaging in Medicine, 2018–2019
• Vice-Chair, Brain Function Research Group, Korean Society of Neuroradiology, 2019–2021
• Secretary, Program Committee, Korean Society for Neuro-Oncology, 2021–2022
• Secretary, Program Committee, Korean Congress of Radiology, 2021–2023
• Conference Organizer, Joint Congress of the Asia-Oceanian Society of Radiology–Korean Congress of Radiology, 2022
• Session Chair, American Society of Neuroradiology Annual Meeting, 2023
• Session Chair, International Society for Magnetic Resonance in Medicine Annual Meeting, 2023 and 2024