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Mapping the effects of ApoE4, age and cognitive status on 18F-florbetapir PET measured regional cortical patterns of beta-amyloid density and growth.
Murphy KR, Landau SM, Choudhury KR, Hostage CA, Shpanskaya KS, Sair HI, Petrella JR, Wong TZ, Doraiswamy PM; Alzheimer's Disease Neuroimaging Initiative. Murphy KR, et al. Neuroimage. 2013 Sep;78:474-80. doi: 10.1016/j.neuroimage.2013.04.048. Epub 2013 Apr 23. Neuroimage. 2013. PMID: 23624169 Free PMC article.
Attention-guided deep learning for gestational age prediction using fetal brain MRI.
Shen L, Zheng J, Lee EH, Shpanskaya K, McKenna ES, Atluri MG, Plasto D, Mitchell C, Lai LM, Guimaraes CV, Dahmoush H, Chueh J, Halabi SS, Pauly JM, Xing L, Lu Q, Oztekin O, Kline-Fath BM, Yeom KW. Shen L, et al. Among authors: shpanskaya k. Sci Rep. 2022 Jan 26;12(1):1408. doi: 10.1038/s41598-022-05468-5. Sci Rep. 2022. PMID: 35082346 Free PMC article.
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.
Bien N, Rajpurkar P, Ball RL, Irvin J, Park A, Jones E, Bereket M, Patel BN, Yeom KW, Shpanskaya K, Halabi S, Zucker E, Fanton G, Amanatullah DF, Beaulieu CF, Riley GM, Stewart RJ, Blankenberg FG, Larson DB, Jones RH, Langlotz CP, Ng AY, Lungren MP. Bien N, et al. Among authors: shpanskaya k. PLoS Med. 2018 Nov 27;15(11):e1002699. doi: 10.1371/journal.pmed.1002699. eCollection 2018 Nov. PLoS Med. 2018. PMID: 30481176 Free PMC article.
Deep Learning for Pediatric Posterior Fossa Tumor Detection and Classification: A Multi-Institutional Study.
Quon JL, Bala W, Chen LC, Wright J, Kim LH, Han M, Shpanskaya K, Lee EH, Tong E, Iv M, Seekins J, Lungren MP, Braun KRM, Poussaint TY, Laughlin S, Taylor MD, Lober RM, Vogel H, Fisher PG, Grant GA, Ramaswamy V, Vitanza NA, Ho CY, Edwards MSB, Cheshier SH, Yeom KW. Quon JL, et al. Among authors: shpanskaya k. AJNR Am J Neuroradiol. 2020 Sep;41(9):1718-1725. doi: 10.3174/ajnr.A6704. Epub 2020 Aug 13. AJNR Am J Neuroradiol. 2020. PMID: 32816765 Free PMC article.
Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model.
Park A, Chute C, Rajpurkar P, Lou J, Ball RL, Shpanskaya K, Jabarkheel R, Kim LH, McKenna E, Tseng J, Ni J, Wishah F, Wittber F, Hong DS, Wilson TJ, Halabi S, Basu S, Patel BN, Lungren MP, Ng AY, Yeom KW. Park A, et al. Among authors: shpanskaya k. JAMA Netw Open. 2019 Jun 5;2(6):e195600. doi: 10.1001/jamanetworkopen.2019.5600. JAMA Netw Open. 2019. PMID: 31173130 Free PMC article. Clinical Trial.
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