Mokari, A.; Raghunathan, S.; Shydliukh, A.; Ryabchykov, O.; Krafft, C.; Bocklitz, T.
Denoising and Baseline Correction of Low-Scan FTIR Spectra: A Benchmark of Deep Learning Models Against Traditional Signal Processing. Bioengineering 2026, 13, 347.
https://doi.org/10.3390/bioengineering13030347
AMA Style
Mokari A, Raghunathan S, Shydliukh A, Ryabchykov O, Krafft C, Bocklitz T.
Denoising and Baseline Correction of Low-Scan FTIR Spectra: A Benchmark of Deep Learning Models Against Traditional Signal Processing. Bioengineering. 2026; 13(3):347.
https://doi.org/10.3390/bioengineering13030347
Chicago/Turabian Style
Mokari, Azadeh, Shravan Raghunathan, Artem Shydliukh, Oleg Ryabchykov, Christoph Krafft, and Thomas Bocklitz.
2026. "Denoising and Baseline Correction of Low-Scan FTIR Spectra: A Benchmark of Deep Learning Models Against Traditional Signal Processing" Bioengineering 13, no. 3: 347.
https://doi.org/10.3390/bioengineering13030347
APA Style
Mokari, A., Raghunathan, S., Shydliukh, A., Ryabchykov, O., Krafft, C., & Bocklitz, T.
(2026). Denoising and Baseline Correction of Low-Scan FTIR Spectra: A Benchmark of Deep Learning Models Against Traditional Signal Processing. Bioengineering, 13(3), 347.
https://doi.org/10.3390/bioengineering13030347
