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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging.
Manini C, Hüllebrand M, Walczak L, Nordmeyer S, Jarmatz L, Kuehne T, Stern H, Meierhofer C, Harloff A, Erley J, Kelle S, Bannas P, Trauzeddel RF, Schulz-Menger J, Hennemuth A. Manini C, et al. Among authors: walczak l. J Cardiovasc Magn Reson. 2024 Winter;26(2):101081. doi: 10.1016/j.jocmr.2024.101081. Epub 2024 Aug 8. J Cardiovasc Magn Reson. 2024. PMID: 39127260 Free PMC article.
A simulation-based phantom model for generating synthetic mitral valve image data-application to MRI acquisition planning.
Manini C, Nemchyna O, Akansel S, Walczak L, Tautz L, Kolbitsch C, Falk V, Sündermann S, Kühne T, Schulz-Menger J, Hennemuth A. Manini C, et al. Among authors: walczak l. Int J Comput Assist Radiol Surg. 2024 Mar;19(3):553-569. doi: 10.1007/s11548-023-03012-y. Epub 2023 Sep 7. Int J Comput Assist Radiol Surg. 2024. PMID: 37679657 Free PMC article.
39 results