| Clinical evaluation of atlas-and deep learning-based automatic segmentation of multiple organs and clinical target volumes for breast cancer MS Choi, BS Choi, SY Chung, N Kim, J Chun, YB Kim, JS Chang, JS Kim Radiotherapy and Oncology 153, 139-145, 2020 | 76 | 2020 |
| Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR‐only breast radiotherapy S Olberg, H Zhang, WR Kennedy, J Chun, V Rodriguez, I Zoberi, ... Medical physics 46 (9), 4135-4147, 2019 | 54 | 2019 |
| Clinical evaluation of commercial atlas-based auto-segmentation in the head and neck region H Lee, E Lee, N Kim, JH Kim, K Park, H Lee, J Chun, J Shin, JS Chang, ... Frontiers in Oncology 9, 239, 2019 | 50 | 2019 |
| Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery SY Chung, JS Chang, MS Choi, Y Chang, BS Choi, J Chun, KC Keum, ... Radiation Oncology 16, 1-10, 2021 | 44 | 2021 |
| MRI super‐resolution reconstruction for MRI‐guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown translation model J Chun, H Zhang, HM Gach, S Olberg, T Mazur, O Green, T Kim, H Kim, ... Medical physics 46 (9), 4148-4164, 2019 | 44 | 2019 |
| Evaluation of deep learning-based autosegmentation in breast cancer radiotherapy HK Byun, JS Chang, MS Choi, J Chun, J Jung, C Jeong, JS Kim, Y Chang, ... Radiation Oncology 16, 1-8, 2021 | 26 | 2021 |
| Feasibility of continual deep learning-based segmentation for personalized adaptive radiation therapy in head and neck area N Kim, J Chun, JS Chang, CG Lee, KC Keum, JS Kim Cancers 13 (4), 702, 2021 | 26 | 2021 |
| Real-time liver tumor localization via a single x-ray projection using deep graph neural network-assisted biomechanical modeling HC Shao, J Wang, T Bai, J Chun, JC Park, S Jiang, Y Zhang Physics in Medicine & Biology 67 (11), 115009, 2022 | 20 | 2022 |
| OpenKBP-Opt: an international and reproducible evaluation of 76 knowledge-based planning pipelines A Babier, R Mahmood, B Zhang, VGL Alves, AM Barragán-Montero, ... Physics in Medicine & Biology 67 (18), 185012, 2022 | 19 | 2022 |
| Intentional deep overfit learning (IDOL): A novel deep learning strategy for adaptive radiation therapy J Chun, JC Park, S Olberg, Y Zhang, D Nguyen, J Wang, JS Kim, S Jiang Medical physics 49 (1), 488-496, 2022 | 18 | 2022 |
| Abdominal synthetic CT reconstruction with intensity projection prior for MRI-only adaptive radiotherapy S Olberg, J Chun, BS Choi, I Park, H Kim, T Kim, JS Kim, O Green, ... Physics in Medicine & Biology 66 (20), 204001, 2021 | 14 | 2021 |
| Deep-learning-based automatic detection and segmentation of brain metastases with small volume for stereotactic ablative radiotherapy SK Yoo, TH Kim, J Chun, BS Choi, H Kim, S Yang, HI Yoon, JS Kim Cancers 14 (10), 2555, 2022 | 10 | 2022 |
| Deep-learning-based automatic segmentation of head and neck organs for radiation therapy in dogs J Park, B Choi, J Ko, J Chun, I Park, J Lee, J Kim, J Kim, K Eom, JS Kim Frontiers in Veterinary Science 8, 721612, 2021 | 8 | 2021 |
| Real‐time 3D MRI in the presence of motion for MRI‐guided radiotherapy: 3D Dynamic keyhole imaging with super‐resolution T Kim, JC Park, HM Gach, J Chun, S Mutic Medical physics 46 (10), 4631-4638, 2019 | 8 | 2019 |
| Simulation study of a novel target oriented SPECT design using a variable pinhole collimator S Bae, J Chun, H Cha, JY Yeom, K Lee, H Lee Medical physics 44 (2), 470-478, 2017 | 8 | 2017 |
| Segmentation by test‐time optimization for CBCT‐based adaptive radiation therapy X Liang, J Chun, H Morgan, T Bai, D Nguyen, J Park, S Jiang Medical physics 50 (4), 1947-1961, 2023 | 6 | 2023 |
| Synthetic contrast-enhanced computed tomography generation using a deep convolutional neural network for cardiac substructure delineation in breast cancer radiation therapy: a … J Chun, JS Chang, C Oh, IK Park, MS Choi, CS Hong, H Kim, G Yang, ... Radiation Oncology 17 (1), 83, 2022 | 6 | 2022 |
| Evaluation of super-resolution on 50 pancreatic cancer patients with real-time cine MRI from 0.35 T MRgRT J Chun, B Lewis, Z Ji, JI Shin, JC Park, JS Kim, T Kim Biomedical Physics & Engineering Express 7 (5), 055020, 2021 | 5 | 2021 |
| Evaluation of Computer-Aided Nodule Assessment and Risk Yield (CANARY) in Korean patients for prediction of invasiveness of ground-glass opacity nodule J Lee, B Bartholmai, T Peikert, J Chun, H Kim, JS Kim, SY Park PloS one 16 (6), e0253204, 2021 | 2 | 2021 |
| Segrap2023: A benchmark of organs-at-risk and gross tumor volume segmentation for radiotherapy planning of nasopharyngeal carcinoma X Luo, J Fu, Y Zhong, S Liu, B Han, M Astaraki, S Bendazzoli, ... arXiv preprint arXiv:2312.09576, 2023 | 1 | 2023 |
Jin Seung KimYonsei University College of MedicineПотвърден имейл адрес: yuhs.ac
