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Head CT deep learning model is highly accurate for early infarct estimation.
Sci Rep. 2023 Jan 5;13(1):189. doi: 10.1038/s41598-023-27496-5.
Sci Rep. 2023.
PMID: 36604467
Free PMC article.
Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging.
Bridge CP, Bizzo BC, Hillis JM, Chin JK, Comeau DS, Gauriau R, Macruz F, Pawar J, Noro FTC, Sharaf E, Straus Takahashi M, Wright B, Kalafut JF, Andriole KP, Pomerantz SR, Pedemonte S, González RG.
Bridge CP, et al. Among authors: gauriau r.
Sci Rep. 2022 Feb 9;12(1):2154. doi: 10.1038/s41598-022-06021-0.
Sci Rep. 2022.
PMID: 35140277
Free PMC article.
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A Deep Learning-based Model for Detecting Abnormalities on Brain MR Images for Triaging: Preliminary Results from a Multisite Experience.
Gauriau R, Bizzo BC, Kitamura FC, Landi Junior O, Ferraciolli SF, Macruz FBC, Sanchez TA, Garcia MRT, Vedolin LM, Domingues RC, Gasparetto EL, Andriole KP.
Gauriau R, et al.
Radiol Artif Intell. 2021 Apr 21;3(4):e200184. doi: 10.1148/ryai.2021200184. eCollection 2021 Jul.
Radiol Artif Intell. 2021.
PMID: 34350408
Free PMC article.
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Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets.
Gauriau R, Bridge C, Chen L, Kitamura F, Tenenholtz NA, Kirsch JE, Andriole KP, Michalski MH, Bizzo BC.
Gauriau R, et al.
J Digit Imaging. 2020 Jun;33(3):747-762. doi: 10.1007/s10278-019-00308-x.
J Digit Imaging. 2020.
PMID: 31950302
Free PMC article.
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Multi-organ localization with cascaded global-to-local regression and shape prior.
Gauriau R, Cuingnet R, Lesage D, Bloch I.
Gauriau R, et al.
Med Image Anal. 2015 Jul;23(1):70-83. doi: 10.1016/j.media.2015.04.007. Epub 2015 Apr 17.
Med Image Anal. 2015.
PMID: 25974326
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Multi-organ localization combining global-to-local regression and confidence maps.
Gauriau R, Cuingnet R, Lesage D, Bloch I.
Gauriau R, et al.
Med Image Comput Comput Assist Interv. 2014;17(Pt 3):337-44. doi: 10.1007/978-3-319-10443-0_43.
Med Image Comput Comput Assist Interv. 2014.
PMID: 25320817
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