Deep Learning for Cerebral Microbleed Identification
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-4026-9_11
Reference36 articles.
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2. Liu YY, Lv P, Jin HQ, Cui W, Niu CG, Zhao MM, Fan CH, Teng YM, Pan B, Peng Q, Luo JJ, Zheng LM, Huang YN (2016) Association between low estimated glomerular filtration rate and risk of cerebral small-vessel diseases: a meta-analysis. J Stroke Cerebrovasc Dis 25(3):710–716. https://doi.org/10.1016/j.jstrokecerebrovasdis.2015.11.016
3. Shams S, Martola J, Granberg T, Li X, Shams M, Fereshtehnejad SM, Cavallin L, Aspelin P, Kristoffersen-Wiberg M, Wahlund LO (2015) Cerebral microbleeds: different prevalence, topography, and risk factors depending on dementia diagnosis—the Karolinska imaging dementia study. Am J Neuroradiol 36(4):661–666. https://doi.org/10.3174/ajnr.A4176
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