Thiemann, N.; Sonntag, S.R.; Kreikenbohm, M.; Böhmerle, G.; Stagge, J.; Grisanti, S.; Martinetz, T.; Miura, Y.
Artificial Intelligence in Fluorescence Lifetime Imaging Ophthalmoscopy (FLIO) Data Analysis—Toward Retinal Metabolic Diagnostics. Diagnostics 2024, 14, 431.
https://doi.org/10.3390/diagnostics14040431
AMA Style
Thiemann N, Sonntag SR, Kreikenbohm M, Böhmerle G, Stagge J, Grisanti S, Martinetz T, Miura Y.
Artificial Intelligence in Fluorescence Lifetime Imaging Ophthalmoscopy (FLIO) Data Analysis—Toward Retinal Metabolic Diagnostics. Diagnostics. 2024; 14(4):431.
https://doi.org/10.3390/diagnostics14040431
Chicago/Turabian Style
Thiemann, Natalie, Svenja Rebecca Sonntag, Marie Kreikenbohm, Giulia Böhmerle, Jessica Stagge, Salvatore Grisanti, Thomas Martinetz, and Yoko Miura.
2024. "Artificial Intelligence in Fluorescence Lifetime Imaging Ophthalmoscopy (FLIO) Data Analysis—Toward Retinal Metabolic Diagnostics" Diagnostics 14, no. 4: 431.
https://doi.org/10.3390/diagnostics14040431
APA Style
Thiemann, N., Sonntag, S. R., Kreikenbohm, M., Böhmerle, G., Stagge, J., Grisanti, S., Martinetz, T., & Miura, Y.
(2024). Artificial Intelligence in Fluorescence Lifetime Imaging Ophthalmoscopy (FLIO) Data Analysis—Toward Retinal Metabolic Diagnostics. Diagnostics, 14(4), 431.
https://doi.org/10.3390/diagnostics14040431
