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Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.
Magudia K, Bridge CP, Bay CP, Babic A, Fintelmann FJ, Troschel FM, Miskin N, Wrobel WC, Brais LK, Andriole KP, Wolpin BM, Rosenthal MH. Magudia K, et al. Among authors: rosenthal mh. Radiology. 2021 Feb;298(2):319-329. doi: 10.1148/radiol.2020201640. Epub 2020 Nov 24. Radiology. 2021. PMID: 33231527 Free PMC article.
Preparing Radiologists to Lead in the Era of Artificial Intelligence: Designing and Implementing a Focused Data Science Pathway for Senior Radiology Residents.
Wiggins WF, Caton MT, Magudia K, Glomski SA, George E, Rosenthal MH, Gaviola GC, Andriole KP. Wiggins WF, et al. Among authors: rosenthal mh. Radiol Artif Intell. 2020 Nov 4;2(6):e200057. doi: 10.1148/ryai.2020200057. eCollection 2020 Nov. Radiol Artif Intell. 2020. PMID: 33937848 Free PMC article.
Evaluating frailty, mortality, and complications associated with metastatic spine tumor surgery using machine learning-derived body composition analysis.
Massaad E, Bridge CP, Kiapour A, Fourman MS, Duvall JB, Connolly ID, Hadzipasic M, Shankar GM, Andriole KP, Rosenthal M, Schoenfeld AJ, Bilsky MH, Shin JH. Massaad E, et al. Among authors: rosenthal m. J Neurosurg Spine. 2022 Feb 25;37(2):263-273. doi: 10.3171/2022.1.SPINE211284. Print 2022 Aug 1. J Neurosurg Spine. 2022. PMID: 35213829
Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events.
Magudia K, Bridge CP, Bay CP, Farah S, Babic A, Fintelmann FJ, Brais LK, Andriole KP, Wolpin BM, Rosenthal MH. Magudia K, et al. Among authors: rosenthal mh. AJR Am J Roentgenol. 2023 Feb;220(2):236-244. doi: 10.2214/AJR.22.27977. Epub 2022 Aug 31. AJR Am J Roentgenol. 2023. PMID: 36043607
127 results