| Machine learning on a genome-wide association study to predict late genitourinary toxicity after prostate radiation therapy S Lee, S Kerns, H Ostrer, B Rosenstein, JO Deasy, JH Oh International Journal of Radiation Oncology* Biology* Physics 101 (1), 128-135, 2018 | 85 | 2018 |
| Bayesian network ensemble as a multivariate strategy to predict radiation pneumonitis risk S Lee, N Ybarra, K Jeyaseelan, S Faria, N Kopek, P Brisebois, JD Bradley, ... Medical physics 42 (5), 2421-2430, 2015 | 61 | 2015 |
| Machine learning and radiogenomics: lessons learned and future directions J Kang, T Rancati, S Lee, JH Oh, SL Kerns, JG Scott, R Schwartz, S Kim, ... Frontiers in oncology 8, 228, 2018 | 56 | 2018 |
| Machine learning on genome-wide association studies to predict the risk of radiation-associated contralateral breast cancer in the WECARE Study S Lee, X Liang, M Woods, AS Reiner, P Concannon, L Bernstein, ... PloS one 15 (2), e0226157, 2020 | 29 | 2020 |
| Tracking of mesenchymal stem cells with fluorescence endomicroscopy imaging in radiotherapy-induced lung injury JR Perez, N Ybarra, F Chagnon, M Serban, S Lee, J Seuntjens, O Lesur, ... Scientific reports 7 (1), 40748, 2017 | 29 | 2017 |
| Accuracy of surface‐guided patient setup for conventional radiotherapy of brain and nasopharynx cancer SK Lee, S Huang, L Zhang, AM Ballangrud, M Aristophanous, ... Journal of Applied Clinical Medical Physics 22 (5), 48-57, 2021 | 25 | 2021 |
| A comparative analysis of longitudinal computed tomography and histopathology for evaluating the potential of mesenchymal stem cells in mitigating radiation-induced pulmonary … JR Perez, S Lee, N Ybarra, O Maria, M Serban, K Jeyaseelan, LM Wang, ... Scientific reports 7 (1), 9056, 2017 | 19 | 2017 |
| Analytical modelling of regional radiotherapy dose response of lung S Lee, G Stroian, N Kopek, M AlBahhar, J Seuntjens, I El Naqa Physics in Medicine & Biology 57 (11), 3309, 2012 | 16 | 2012 |
| Prediction of breast cancer treatment–induced fatigue by machine learning using genome-wide association data S Lee, JO Deasy, JH Oh, A Di Meglio, A Dumas, G Menvielle, C Charles, ... JNCI cancer spectrum 4 (5), pkaa039, 2020 | 15 | 2020 |
| Mesenchymal stem cells adopt lung cell phenotype in normal and radiation-induced lung injury conditions OM Maria, AM Maria, N Ybarra, K Jeyaseelan, S Lee, J Perez, ... Applied Immunohistochemistry & Molecular Morphology 24 (4), 283-295, 2016 | 13 | 2016 |
| Failure mode and effect analysis for linear accelerator‐based paraspinal stereotactic body radiotherapy S Lee, DM Lovelock, A Kowalski, K Chapman, R Foley, M Gil, G Pastrana, ... Journal of Applied Clinical Medical Physics 22 (12), 87-96, 2021 | 2 | 2021 |
| Transcriptional responses to ultraviolet and ionizing radiation: An approach based on graph curvature Y Chen, JH Oh, R Sandhu, S Lee, JO Deasy, A Tannenbaum 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 1 | 2016 |
| Predicting the germline dependence of hematuria risk in prostate cancer radiotherapy patients JH Oh, S Lee, M Thor, BS Rosenstein, A Tannenbaum, S Kerns, ... Radiotherapy and Oncology 185, 109723, 2023 | | 2023 |
| Comparison of quantitative and qualitative scoring approaches for radiation-induced pulmonary fibrosis as applied to a preliminary investigation into the efficacy of … LM Wang, S Jung, M Serban, A Chatterjee, S Lee, K Jeyaseelan, ... BJR| Open 3 (1), 20210006, 2021 | | 2021 |
