Motie, P., Ashkan, A., Mohammad-Rahimi, H., Hassanzadeh-Samani, S., Razzaghi, N., Behnaz, M., Shahab, S., & Motamadian, S. R. (2025). Improving cervical maturation degree classification accuracy using a multi-stage deep learning approach. Imaging Science in Dentistry, 55(3), 290-301. https://doi.org/10.5624 sd.20250045

MOTIE, Parisa, ASHKAN, Ali, MOHAMMAD-RAHIMI, Hossein, HASSANZADEH-SAMANI, Sahel, RAZZAGHI, Negar, BEHNAZ, Mohammad, SHAHAB, Shahriar und MOTAMADIAN, Saeed Reza, 2025. Improving cervical maturation degree classification accuracy using a multi-stage deep learning approach. Imaging Science in Dentistry. 1 September 2025. Vol. 55, no. 3, p. 290-301. DOI 10.5624 sd.20250045.

Motie, P., A. Ashkan, H. Mohammad-Rahimi, S. Hassanzadeh-Samani, N. Razzaghi, M. Behnaz, S. Shahab, und S. R. Motamadian. „Improving Cervical Maturation Degree Classification Accuracy Using a Multi-Stage Deep Learning Approach.“. Imaging Science in Dentistry, Bd. 55, Nr. 3, September 2025, S. 290-01, https://doi.org/10.5624 sd.20250045.

Motie, Parisa/Ashkan, Ali/Mohammad-Rahimi, Hossein/Hassanzadeh-Samani, Sahel/Razzaghi, Negar/Behnaz, Mohammad u. a.: Improving cervical maturation degree classification accuracy using a multi-stage deep learning approach., Imaging Science in Dentistry 2025, 290-301.

Motie, P., Ashkan, A., Mohammad-Rahimi, H., Hassanzadeh-Samani, S., Razzaghi, N., Behnaz, M., Shahab, S. und Motamadian, S.R. (2025), „Improving cervical maturation degree classification accuracy using a multi-stage deep learning approach.“, Imaging Science in Dentistry, Vol. 55 No. 3, S. 290-301.