Manini, C., Hüllebrand, M., Walczak, L., Nordmeyer, S., Jarmatz, L., Kuehne, T., . . . Hennemuth, A. Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging. Elsevier.
Chicago Style (17th ed.) CitationManini, Chiara, et al. Impact of Training Data Composition on the Generalizability of Convolutional Neural Network Aortic Cross-section Segmentation in Four-dimensional Magnetic Resonance Flow Imaging. Elsevier.
MLA (9th ed.) CitationManini, Chiara, et al. Impact of Training Data Composition on the Generalizability of Convolutional Neural Network Aortic Cross-section Segmentation in Four-dimensional Magnetic Resonance Flow Imaging. Elsevier.
Warning: These citations may not always be 100% accurate.