Brendlin, A.S.; Mader, M.; Faby, S.; Schmidt, B.; Othman, A.E.; Gassenmaier, S.; Nikolaou, K.; Afat, S.
AI Lung Segmentation and Perfusion Analysis of Dual-Energy CT Can Help to Distinguish COVID-19 Infiltrates from Visually Similar Immunotherapy-Related Pneumonitis Findings and Can Optimize Radiological Workflows. Tomography 2022, 8, 22-32.
https://doi.org/10.3390/tomography8010003
AMA Style
Brendlin AS, Mader M, Faby S, Schmidt B, Othman AE, Gassenmaier S, Nikolaou K, Afat S.
AI Lung Segmentation and Perfusion Analysis of Dual-Energy CT Can Help to Distinguish COVID-19 Infiltrates from Visually Similar Immunotherapy-Related Pneumonitis Findings and Can Optimize Radiological Workflows. Tomography. 2022; 8(1):22-32.
https://doi.org/10.3390/tomography8010003
Chicago/Turabian Style
Brendlin, Andreas S., Markus Mader, Sebastian Faby, Bernhard Schmidt, Ahmed E. Othman, Sebastian Gassenmaier, Konstantin Nikolaou, and Saif Afat.
2022. "AI Lung Segmentation and Perfusion Analysis of Dual-Energy CT Can Help to Distinguish COVID-19 Infiltrates from Visually Similar Immunotherapy-Related Pneumonitis Findings and Can Optimize Radiological Workflows" Tomography 8, no. 1: 22-32.
https://doi.org/10.3390/tomography8010003
APA Style
Brendlin, A. S., Mader, M., Faby, S., Schmidt, B., Othman, A. E., Gassenmaier, S., Nikolaou, K., & Afat, S.
(2022). AI Lung Segmentation and Perfusion Analysis of Dual-Energy CT Can Help to Distinguish COVID-19 Infiltrates from Visually Similar Immunotherapy-Related Pneumonitis Findings and Can Optimize Radiological Workflows. Tomography, 8(1), 22-32.
https://doi.org/10.3390/tomography8010003