Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy. - Jaehee Chun; Justin C. Park; Sven Olberg; You Zhang 003; Dan Nguyen; Jing Wang 022; Jin Sung Kim; Steve B. Jiang (CoRR, 2021)

Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy. - Xiao Liang; Jaehee Chun; Howard E. Morgan; Ti Bai; Dan Nguyen; Justin C. Park; Steve B. Jiang (CoRR, 2022)

OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. - Aaron Babier; Rafid Mahmood; Binghao Zhang; Victor Gabriel Leandro Alves; Ana Maria Barragán-Montero; Joel Beaudry; Carlos E. Cardenas S.; Yankui Chang; Zijie Chen; Jaehee Chun; Kelly Diaz; Harold David Eraso; et al. (CoRR, 2022)

Development and evaluation of an integrated model based on a deep segmentation network and demography-added radiomics algorithm for segmentation and diagnosis of early lung adenocarcinoma. - Juyoung Lee; Jaehee Chun; Hojin Kim; Jin Sung Kim; Seong Yong Park (Comput. Medical Imaging Graph., 2023)

Corrigendum to 'Development and evaluation of an integrated model based on a deep segmentation network and demography-added radiomics algorithm for segmentation and diagnosis of early lung adenocarcinoma' [Computerized Medical Imaging and Graphics Volume 109 (2023) 102299]. - Juyoung Lee; Jaehee Chun; Hojin Kim; Jin Sung Kim; Seong Yong Park (Comput. Medical Imaging Graph., 2025)

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. - Xiangde Luo; Jia Fu; Yunxin Zhong; Shuolin Liu; Bing Han; Mehdi Astaraki; Simone Bendazzoli; Iuliana Toma-Dasu; Yiwen Ye; Ziyang Chen 003; Yong Xia 001; Yanzhou Su; et al. (Medical Image Anal., 2025)

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. - Muhammad Imran 013; Jonathan R. Krebs; Vishal Balaji Sivaraman; Teng Zhang; Amarjeet Kumar; Walker R. Ueland; Michael J. Fassler; Jinlong Huang; Xiao Sun; Lisheng Wang; Pengcheng Shi; Maximilian Rokuss; et al. (CoRR, 2025)