| Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards MJ Nyflot, F Yang, D Byrd, SR Bowen, GA Sandison, PE Kinahan Journal of medical imaging 2 (4), 041002-041002, 2015 | 173 | 2015 |
| Deep learning for patient‐specific quality assurance: identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks MJ Nyflot, P Thammasorn, LS Wootton, EC Ford, WA Chaovalitwongse Medical physics 46 (2), 456-464, 2019 | 139 | 2019 |
| Tumor grading of soft tissue sarcomas using MRI-based radiomics JC Peeken, MB Spraker, C Knebel, H Dapper, D Pfeiffer, M Devecka, ... EBioMedicine 48, 332-340, 2019 | 104 | 2019 |
| CT-based radiomic features predict tumor grading and have prognostic value in patients with soft tissue sarcomas treated with neoadjuvant radiation therapy JC Peeken, M Bernhofer, MB Spraker, D Pfeiffer, M Devecka, A Thamer, ... Radiotherapy and Oncology 135, 187-196, 2019 | 79 | 2019 |
| MRI radiomic features are independently associated with overall survival in soft tissue sarcoma MB Spraker, LS Wootton, DS Hippe, KC Ball, JC Peeken, MW Macomber, ... Advances in radiation oncology 4 (2), 413-421, 2019 | 71 | 2019 |
| Measurable improvement in patient safety culture: A departmental experience with incident learning AS Kusano, MJ Nyflot, J Zeng, PA Sponseller, R Ermoian, L Jordan, ... Practical radiation oncology 5 (3), e229-e237, 2015 | 71 | 2015 |
| The effectiveness of pretreatment physics plan review for detecting errors in radiation therapy O Gopan, J Zeng, A Novak, M Nyflot, E Ford Medical physics 43 (9), 5181-5187, 2016 | 67 | 2016 |
| Metrics of success: Measuring impact of a departmental near-miss incident learning system MJ Nyflot, J Zeng, AS Kusano, A Novak, TD Mullen, W Gao, L Jordan, ... Practical radiation oncology 5 (5), e409-e416, 2015 | 64 | 2015 |
| Error detection in intensity-modulated radiation therapy quality assurance using radiomic analysis of gamma distributions LS Wootton, MJ Nyflot, WA Chaovalitwongse, E Ford International Journal of Radiation Oncology* Biology* Physics 102 (1), 219-228, 2018 | 60 | 2018 |
| MRI-based delta-radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy JC Peeken, R Asadpour, K Specht, EY Chen, O Klymenko, V Akinkuoroye, ... Radiotherapy and Oncology 164, 73-82, 2021 | 53 | 2021 |
| Phase 1 trial of bevacizumab with concurrent chemoradiation therapy for squamous cell carcinoma of the head and neck with exploratory functional imaging of tumor hypoxia … MJ Nyflot, TJ Kruser, AM Traynor, D Khuntia, DT Yang, GK Hartig, ... International Journal of Radiation Oncology* Biology* Physics 91 (5), 942-951, 2015 | 51 | 2015 |
| Development and external validation of deep-learning-based tumor grading models in soft-tissue sarcoma patients using MR imaging F Navarro, H Dapper, R Asadpour, C Knebel, MB Spraker, V Schwarze, ... Cancers 13 (12), 2866, 2021 | 50 | 2021 |
| Correlation of PET images of metabolism, proliferation and hypoxia to characterize tumor phenotype in patients with cancer of the oropharynx MJ Nyflot, PM Harari, S Yip, SB Perlman, R Jeraj Radiotherapy and Oncology 105 (1), 36-40, 2012 | 49 | 2012 |
| AAPM Task Group Report 307: use of EPIDs for patient‐specific IMRT and VMAT QA N Dogan, BJ Mijnheer, K Padgett, A Nalichowski, C Wu, MJ Nyflot, ... Medical physics 50 (8), e865-e903, 2023 | 48* | 2023 |
| Targeting safety improvements through identification of incident origination and detection in a near‐miss incident learning system A Novak, MJ Nyflot, RP Ermoian, LE Jordan, PA Sponseller, GM Kane, ... Medical Physics 43 (5), 2053-2062, 2016 | 45 | 2016 |
| Differential hepatic avoidance radiation therapy: Proof of concept in hepatocellular carcinoma patients SR Bowen, J Saini, TR Chapman, RS Miyaoka, PE Kinahan, ... Radiotherapy and Oncology 115 (2), 203-210, 2015 | 43 | 2015 |
| Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration L Wei, D Niraula, EDH Gates, J Fu, Y Luo, MJ Nyflot, SR Bowen, ... The British Journal of Radiology 96 (1150), 20230211, 2023 | 42 | 2023 |
| Measuring total liver function on sulfur colloid SPECT/CT for improved risk stratification and outcome prediction of hepatocellular carcinoma patients SR Bowen, TR Chapman, J Borgman, RS Miyaoka, PE Kinahan, IW Liou, ... EJNMMI research 6, 1-10, 2016 | 38 | 2016 |
| Challenges and opportunities in patient-specific, motion-managed and PET/CT-guided radiation therapy of lung cancer: review and perspective SR Bowen, MJ Nyflot, M Gensheimer, KRG Hendrickson, PE Kinahan, ... Clinical and translational medicine 1, 1-17, 2012 | 38 | 2012 |
| Prognostic assessment in high-grade soft-tissue sarcoma patients: a comparison of semantic image analysis and radiomics JC Peeken, J Neumann, R Asadpour, Y Leonhardt, JR Moreira, DS Hippe, ... Cancers 13 (8), 1929, 2021 | 36 | 2021 |