Joon Jang

Github

🖥️ https://github.com/jangjoon7

Highlights

Education

• 2016-2020 B.S., Biomedical Engineering, Kyung Hee University

• 2020- Ph.D. Candidate, Biomedical Sciences, Seoul National University

Awards

• Best Oral Presentation (Gold), ICMRI 2025 (2025)

• Magna Cum Laude, ISMRM 2024 (2024)

• Best Presentation (Silver), Seoul National University Hospital (2024)

• Best Oral Presentation (Silver), ICMRI 2023 (2023)

• Best Paper, Seoul National University Hospital (2021)

Publications

• J Jang, JH Kim, H Kim. Accelerated major singlet metabolite mapping in human brain using non-water/fat-suppressed ultrashort-TR FID-MRSI with FID-encoded IDEAL, 2026, NMR in Biomedicine

• J Jang, E Jeong, KS Choi, H Kim. Information-Preserving Domain Transfer with Unlabeled Data in Misspecified Simulation-Based Inference, 2026 (Under review), arXiv:2605.05652

• J Lee, YH Jeon, J Jang, H Eum, M Kim, SH Park, CK Park, SH Choi, SS Ahn, KS Choi. Deep Learning for Survival Prediction in Glioblastoma: Time-dependent Model Interpretability Using MRI, Clinical, and Molecular Data

• J Lee, J Jang, H Eum, H Jang, M Kim, SH Park, CK Park, SH Choi, SS Ahn, Y Han, KS Choi. GlioSurv: interpretable transformer for multimodal, individualized survival prediction in diffuse glioma, 

• J Lee, Y Han, J Jang, H Lee, JH Park, I Hwang, JW Chung, SH Choi, KS Choi. ST-SRPerf: Continuous spatiotemporal representation for perfusion MRI super-resolution through neural ODE and implicit neural representation, 

• J Lee, H Kim, H Chung, H Eom, J Jang, CH Son, KS Choi. Lesion-Aware Post-training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion, Medical Image Computing and Computer Assisted Intervention, 2025

• J Jang, J Lee, H Lee, I Hwang, JH Park, JW Chung, SH Choi, H Kim, KS Choi. Unsupervised Deep Learning for Model-Free Blood-Brain Barrier Leakage Detection with Dynamic Contrast-Enhanced MRI in Diffuse Gliomas, 2025, Radiology: Artifical Intelligence, 2025, Radiology: Artificial Intelligence, 7-3

• E Jeong, J Jang, JH Kim, H Kim. Recurrent neural network-aided processing of incomplete free induction decays in 1H-MRS of the brain, 2024, Journal of Magnetic Resonance 368, 107762

• H Lee, J Lee, J Jang, I Hwang, KS Choi, JH Park, JW Chung, SH Choi. Predicting hematoma expansion in acute spontaneous intracerebral hemorrhage: integrating clinical factors with a multitask deep learning model for non-contrast head CT, 2024, Neuroradiology, 1-11

• JO Lee, SS Ahn, KS Choi, J Lee, Jang J, JH Park, I Hwang, CK Park, SH Park, JW Chung, SH Choi. Added Prognostic Value of 3D Deep Learning-Derived Features from Preoperative MRI for Adult-type Diffuse Gliomas, 2024, Neuro-Oncology 26 (3), 571-580

• J Jang, HH Lee, JA Park, H Kim. Unsupervised anomaly detection using generative adversarial networks in 1H-MRS of the brain, 2021, Journal of Magnetic Resonance 325, 106936

• S Park‡, J Jang‡, JH Oh, CW Ryu, GH Jahng. Assessment of Cerebrospinal Fluid Effect on the Chemical Exchange Saturation Transfer Map Obtained from the Full Z-Spectrum in the Elderly Human Brain, 2019, Progress in Medical Physics 30 (4), 139-149

Conference publications

• J Jang, J Lee, WJ Moon, H Kim, KS Choi. Assessment of meningeal lymphatic dysfunction in the parasagittal dural space using leaky Tofts–Kety model, 2025, ICMRI

• J Jang, J Lee, WJ Moon, H Kim, KS Choi. Temporal Dynamics-Driven Automatic Segmentation of Parasagittal Dural Space and Meningeal Lymphatic Vessels in DCE-MRI Using VQ-VAE, 2025, ISMRM

• J Jang, J Lee, WJ Moon, H Kim, KS Choi. Temporal Dynamics-Driven Automatic Segmentation of Meningeal Lymphatic Vessels in DCE-MRI Using Unsupervised Deep Learning, 2024, ICMRI

• J Jang, J Lee, H Lee, I Hwang, SH Choi, JH Park, H Kim, KS Choi. Unsupervised PK Model-free BBB Leakage Detection in DCE-MRI using Generative Adversarial Networks, 2024, ISMRM

• J Jang, J Lee, H Lee, I Hwang, SH Choi, JH Park, H Kim, KS Choi. Unsupervised Model-Free Leakage Detection in DCE-MRI using Generative Adversarial Networks, 2023, ICMRI

• J Jang, HH Lee, JA Park, H Kim. Unsupervised anomaly detection using generative adversarial networks in 1H-MRS of the brain, 2021, ISMRM