Jaehee Chun

8PUBLICATIONS
69CO-AUTHORS
Context learningSemi- and unsupervised learningUrban informaticsComputational physiologyDeep learning
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Publications (8)

|Sep 16, 2026
Context-informed personalized segmentation from radiology reports: A fully automated framework for long-term liver tumor follow-up.

|Dec 21, 2025
Uncertainty-guided test-time optimization for personalizing segmentation models in longitudinal medical imaging.

Jaehee Chun, Austin Castelo, McKell Woodland

|Sep 12, 2022
OpenKBP-Opt: an international and reproducible evaluation of 76 knowledge-based planning pipelines.

Aaron Babier, Rafid Mahmood, Binghao Zhang

|May 28, 2022
Deep-Learning-Based Automatic Detection and Segmentation of Brain Metastases with Small Volume for Stereotactic Ablative Radiotherapy.

Sang Kyun Yoo, Tae Hyung Kim, Jaehee Chun

|Apr 28, 2022
Real-time liver tumor localization via a single x-ray projection using deep graph neural network-assisted biomechanical modeling.

Hua-Chieh Shao, Jing Wang, Ti Bai

|Sep 16, 2021
Abdominal synthetic CT reconstruction with intensity projection prior for MRI-only adaptive radiotherapy.

Sven Olberg, Jaehee Chun, Byong Su Choi

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Frequent Collaborators

2 joint publications

Eugene J Koay

2 joint publications

Tae Hyung Kim

2 joint publications

Mais Altaie

2 joint publications

Jin Sung Kim