Neumann, E.; Movlilishvili, A.; Scherfeld, S.T.; Al Haj Hossen, L.; Titze, U.; Addicks, J.P.; Eisenblätter, M.; Höink, A.J.
Visual and AI-Based Assessment of COVID-19 Pneumonia: Practicability and Reproducibility of an Established Semi-Quantitative Chest CT Scoring System. Diagnostics 2025, 15, 1987.
https://doi.org/10.3390/diagnostics15161987
AMA Style
Neumann E, Movlilishvili A, Scherfeld ST, Al Haj Hossen L, Titze U, Addicks JP, Eisenblätter M, Höink AJ.
Visual and AI-Based Assessment of COVID-19 Pneumonia: Practicability and Reproducibility of an Established Semi-Quantitative Chest CT Scoring System. Diagnostics. 2025; 15(16):1987.
https://doi.org/10.3390/diagnostics15161987
Chicago/Turabian Style
Neumann, Eugen, Anna Movlilishvili, Simon T. Scherfeld, Lubana Al Haj Hossen, Ulf Titze, Johann P. Addicks, Michel Eisenblätter, and Anna J. Höink.
2025. "Visual and AI-Based Assessment of COVID-19 Pneumonia: Practicability and Reproducibility of an Established Semi-Quantitative Chest CT Scoring System" Diagnostics 15, no. 16: 1987.
https://doi.org/10.3390/diagnostics15161987
APA Style
Neumann, E., Movlilishvili, A., Scherfeld, S. T., Al Haj Hossen, L., Titze, U., Addicks, J. P., Eisenblätter, M., & Höink, A. J.
(2025). Visual and AI-Based Assessment of COVID-19 Pneumonia: Practicability and Reproducibility of an Established Semi-Quantitative Chest CT Scoring System. Diagnostics, 15(16), 1987.
https://doi.org/10.3390/diagnostics15161987
