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Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.
Flanders AE, Prevedello LM, Shih G, Halabi SS, Kalpathy-Cramer J, Ball R, Mongan JT, Stein A, Kitamura FC, Lungren MP, Choudhary G, Cala L, Coelho L, Mogensen M, Morón F, Miller E, Ikuta I, Zohrabian V, McDonnell O, Lincoln C, Shah L, Joyner D, Agarwal A, Lee RK, Nath J; RSNA-ASNR 2019 Brain Hemorrhage CT Annotators. Flanders AE, et al. Among authors: ikuta i. Radiol Artif Intell. 2020 Apr 29;2(3):e190211. doi: 10.1148/ryai.2020190211. eCollection 2020 May. Radiol Artif Intell. 2020. PMID: 33937827 Free PMC article.
Erratum: Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.
Flanders AE, Prevedello LM, Shih G, Halabi SS, Kalpathy-Cramer J, Ball R, Mongan JT, Stein A, Kitamura FC, Lungren MP, Choudhary G, Cala L, Coelho L, Mogensen M, Morón F, Miller E, Ikuta I, Zohrabian V, McDonnell O, Lincoln C, Shah L, Joyner D, Agarwal A, Lee RK, Nath J; RSNA-ASNR 2019 Brain Hemorrhage CT Annotators. Flanders AE, et al. Among authors: ikuta i. Radiol Artif Intell. 2020 Jul 29;2(4):e209002. doi: 10.1148/ryai.2020209002. eCollection 2020 Jul. Radiol Artif Intell. 2020. PMID: 33939782 Free PMC article.
Radiologists staunchly support patient safety and autonomy, in opposition to the SCOTUS decision to overturn Roe v Wade.
Karandikar A, Solberg A, Fung A, Lee AY, Farooq A, Taylor AC, Oliveira A, Narayan A, Senter A, Majid A, Tong A, McGrath AL, Malik A, Brown AL, Roberts A, Fleischer A, Vettiyil B, Zigmund B, Park B, Curran B, Henry C, Jaimes C, Connolly C, Robson C, Meltzer CC, Phillips CH, Dove C, Glastonbury C, Pomeranz C, Kirsch CFE, Burgan CM, Scher C, Tomblinson C, Fuss C, Santillan C, Daye D, Brown DB, Young DJ, Kopans D, Vargas D, Martin D, Thompson D, Jordan DW, Shatzkes D, Sun D, Mastrodicasa D, Smith E, Korngold E, Dibble EH, Arleo EK, Hecht EM, Morris E, Maltin EP, Cooke EA, Schwartz ES, Lehrman E, Sodagari F, Shah F, Doo FX, Rigiroli F, Vilanilam GK, Landinez G, Kim GG, Rahbar H, Choi H, Bandesha H, Ojeda-Fournier H, Ikuta I, Dragojevic I, Schroeder JLT, Ivanidze J, Katzen JT, Chiang J, Nguyen J, Robinson JD, Broder JC, Kemp J, Weaver JS, Conyers JM, Robbins JB, Leschied JR, Wen J, Park J, Mongan J, Perchik J, Barbero JPM, Jacob J, Ledbetter K, Macura KJ, Maturen KE, Frederick-Dyer K, Dodelzon K, Cort K, Kisling K, Babagbemi K, McGill KC, Chang KJ, Feigin K, Winsor KS, Seifert K, Patel K, Porter KK, Foley KM, Patel-Lippmann K, McIntosh LJ, Padilla L, Groner L, Harry LM, Ladd LM, … See abstract for full author list ➔ Karandikar A, et al. Among authors: ikuta i. Clin Imaging. 2023 Jan;93:117-121. doi: 10.1016/j.clinimag.2022.07.011. Epub 2022 Aug 12. Clin Imaging. 2023. PMID: 36064645 No abstract available.
Review of Artificial Intelligence Training Tools and Courses for Radiologists.
Richardson ML, Adams SJ, Agarwal A, Auffermann WF, Bhattacharya AK, Consul N, Fotos JS, Kelahan LC, Lin C, Lo HS, Nguyen XV, Salkowski LR, Sin JM, Thomas RC, Wassef S, Ikuta I. Richardson ML, et al. Among authors: ikuta i. Acad Radiol. 2021 Sep;28(9):1238-1252. doi: 10.1016/j.acra.2020.12.026. Epub 2021 Mar 11. Acad Radiol. 2021. PMID: 33714667 Review.
36 results