Multi-parametric deep learning model for prediction of overall survival after postoperative concurrent chemoradiotherapy in glioblastoma patients HG Yoon, W Cheon, SW Jeong, HS Kim, K Kim, H Nam, Y Han, DH Lim Cancers 12 (8), 2284, 2020 | 22 | 2020 |
Improvement of megavoltage computed tomography image quality for adaptive helical tomotherapy using cycleGAN‐based image synthesis with small datasets D Lee, SW Jeong, SJ Kim, H Cho, W Park, Y Han Medical physics 48 (10), 5593-5610, 2021 | 9 | 2021 |
Clinical applicability of deep learning-based respiratory signal prediction models for four-dimensional radiation therapy S Jeong, W Cheon, S Cho, Y Han Plos one 17 (10), e0275719, 2022 | 5 | 2022 |
Evaluating psychological anxiety in patients receiving radiation therapy using smartwatch S Jeong, C Jeon, D Lee, W Park, H Pyo, Y Han Radiation Oncology Journal 42 (2), 148, 2024 | 2 | 2024 |
The Prediction of Stress in Radiation Therapy: Integrating Artificial Intelligence with Biological Signals S Jeong, H Pyo, W Park, Y Han Cancers 16 (11), 1964, 2024 | 1 | 2024 |
Deep-learning-based segmentation using individual patient data on prostate cancer radiation therapy S Jeong, W Cheon, S Kim, W Park, Y Han Plos one 19 (7), e0308181, 2024 | | 2024 |
Signal intensity measurement of hydrophone to position change of Bragg-peak using iono-acoustic wave in hospital-based cyclotron S Jeong, C Jeon, S Cho, Y Han Progress in Medical Physics 31 (S1), S46, 0 | | |
Influence of Material Deviation for Proton Range Verification Using Protoacoustic Wave S Jeong, W Cheon, Y Han, S Cho Available at SSRN 4392636, 0 | | |
Supplementary Material: Multi-Parametric Deep Learning Model for Prediction of Overall Survival after Postoperative Concurrent Chemoradiotherapy in Glioblastoma Patients HG Yoon, W Cheon, SW Jeong, HS Kim, K Kim, H Nam, Y Han, DH Lim | | |