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Training robust T1-weighted magnetic resonance imaging liver segmentation models using ensembles of datasets with different contrast protocols and liver disease etiologies.
Patel N, Celaya A, Eltaher M, Glenn R, Savannah KB, Brock KK, Sanchez JI, Calderone TL, Cleere D, Elsaiey A, Cagley M, Gupta N, Victor D, Beretta L, Koay EJ, Netherton TJ, Fuentes DT. Patel N, et al. Among authors: cagley m. Sci Rep. 2024 Sep 9;14(1):20988. doi: 10.1038/s41598-024-71674-y. Sci Rep. 2024. PMID: 39251664 Free PMC article.
Training Robust T1-Weighted Magnetic Resonance Imaging Liver Segmentation Models Using Ensembles of Datasets with Different Contrast Protocols and Liver Disease Etiologies.
Patel N, Eltaher M, Glenn R, Savannah KB, Brock K, Sanchez J, Calderone T, Cleere D, Elsaiey A, Cagley M, Gupta N, Victor D, Beretta L, Celaya A, Koay E, Netherton T, Fuentes D. Patel N, et al. Among authors: cagley m. Res Sq [Preprint]. 2024 Apr 30:rs.3.rs-4259791. doi: 10.21203/rs.3.rs-4259791/v1. Res Sq. 2024. Update in: Sci Rep. 2024 Sep 9;14(1):20988. doi: 10.1038/s41598-024-71674-y. PMID: 38746406 Free PMC article. Updated. Preprint.