| The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ... Radiology 295 (2), 328-338, 2020 | 3817 | 2020 |
| Machine and deep learning methods for radiomics M Avanzo, L Wei, J Stancanello, M Vallieres, A Rao, O Morin, ... Medical physics 47 (5), e185-e202, 2020 | 636 | 2020 |
| Low-dose megavoltage cone-beam CT for radiation therapy J Pouliot, A Bani-Hashemi, J Chen, M Svatos, F Ghelmansarai, ... International Journal of Radiation Oncology* Biology* Physics 61 (2), 552-560, 2005 | 556 | 2005 |
| Machine learning algorithms for outcome prediction in (chemo) radiotherapy: An empirical comparison of classifiers TM Deist, FJWM Dankers, G Valdes, R Wijsman, IC Hsu, C Oberije, ... Medical physics 45 (7), 3449-3459, 2018 | 352 | 2018 |
| Megavoltage cone-beam CT: system description and clinical applications O Morin, A Gillis, J Chen, M Aubin, MK Bucci, M Roach III, J Pouliot Medical Dosimetry 31 (1), 51-61, 2006 | 306 | 2006 |
| Artificial intelligence in radiation oncology: a specialty-wide disruptive transformation? RF Thompson, G Valdes, CD Fuller, CM Carpenter, O Morin, S Aneja, ... Radiotherapy and Oncology 129 (3), 421-426, 2018 | 305 | 2018 |
| The image biomarker standardization initiative: standardized convolutional filters for reproducible radiomics and enhanced clinical insights P Whybra, A Zwanenburg, V Andrearczyk, R Schaer, AP Apte, A Ayotte, ... Radiology 310 (2), e231319, 2024 | 180 | 2024 |
| Automated detection and segmentation of non-small cell lung cancer computed tomography images SP Primakov, A Ibrahim, JE van Timmeren, G Wu, SA Keek, M Beuque, ... Nature communications 13 (1), 3423, 2022 | 166 | 2022 |
| Deep nets vs expert designed features in medical physics: an IMRT QA case study Y Interian, V Rideout, VP Kearney, E Gennatas, O Morin, J Cheung, ... Medical physics 45 (6), 2672-2680, 2018 | 149 | 2018 |
| Dose-guided radiation therapy with megavoltage cone-beam CT J Chen, O Morin, M Aubin, MK Bucci, CF Chuang, J Pouliot The British Journal of Radiology 79 (special_issue_1), S87-S98, 2006 | 142 | 2006 |
| Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival O Morin, WC Chen, F Nassiri, M Susko, ST Magill, HN Vasudevan, A Wu, ... Neuro-oncology advances 1 (1), vdz011, 2019 | 120 | 2019 |
| Patient dose considerations for routine megavoltage cone‐beam CT imaging O Morin, A Gillis, M Descovich, J Chen, M Aubin, JF Aubry, H Chen, ... Medical physics 34 (5), 1819-1827, 2007 | 120 | 2007 |
| A deep look into the future of quantitative imaging in oncology: a statement of working principles and proposal for change O Morin, M Vallières, A Jochems, HC Woodruff, G Valdes, SE Braunstein, ... International Journal of Radiation Oncology* Biology* Physics 102 (4), 1074-1082, 2018 | 118 | 2018 |
| Dose calculation using megavoltage cone-beam CT O Morin, J Chen, M Aubin, A Gillis, JF Aubry, S Bose, H Chen, ... International Journal of Radiation Oncology* Biology* Physics 67 (4), 1201-1210, 2007 | 117 | 2007 |
| An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication O Morin, M Vallières, S Braunstein, JB Ginart, T Upadhaya, HC Woodruff, ... Nature Cancer 2 (7), 709-722, 2021 | 110 | 2021 |
| DoseGAN: a generative adversarial network for synthetic dose prediction using attention-gated discrimination and generation V Kearney, JW Chan, T Wang, A Perry, M Descovich, O Morin, SS Yom, ... Scientific reports 10 (1), 11073, 2020 | 100 | 2020 |
| Calibration of an amorphous‐silicon flat panel portal imager for exit‐beam dosimetry J Chen, CF Chuang, O Morin, M Aubin, J Pouliot Medical physics 33 (3), 584-594, 2006 | 100 | 2006 |
| Attention-aware discrimination for MR-to-CT image translation using cycle-consistent generative adversarial networks V Kearney, BP Ziemer, A Perry, T Wang, JW Chan, L Ma, O Morin, ... Radiology: Artificial Intelligence 2 (2), e190027, 2020 | 96 | 2020 |
| Quality assurance for AI-based applications in radiation therapy M Claessens, CS Oria, CL Brouwer, BP Ziemer, JE Scholey, H Lin, ... Seminars in radiation oncology 32 (4), 421-431, 2022 | 87 | 2022 |
| Image-guided radiotherapy using megavoltage cone-beam computed tomography for treatment of paraspinous tumors in the presence of orthopedic hardware EK Hansen, DA Larson, M Aubin, J Chen, M Descovich, AM Gillis, ... International Journal of Radiation Oncology* Biology* Physics 66 (2), 323-326, 2006 | 80 | 2006 |
Steve BraunsteinUCSFVerified email at ucsf.edu
