Grzegorz Bauman

Department of Radiology, Division of Radiological Physics, University Hospital Basel, University of Basel, Basel, Switzerland, Department of Biomedical Engineering, University of Basel, Basel, Switzerland

MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets

Aug 31, 2021
Orso Pusterla, Rahel Heule, Francesco Santini, Thomas Weikert, Corin Willers, Simon Andermatt, Robin Sandkühler, Sylvia Nyilas, Philipp Latzin, Oliver Bieri, Grzegorz Bauman

Figure 1 for MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets

Figure 2 for MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets

Figure 3 for MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets

Figure 4 for MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets

* 9 Figures, 1 Table. Supplementary Material: 1 Appendix, 2 Tables, 3 Supporting Figures

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Grzegorz Bauman

MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets

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