Zoellin, J. R. T., Turgut, F., Chen, R., Saad, A., Giesser, S. D., Sommer, C., Guignard, V., Ihle, J., Mono, M.-L., Becker, M. D., Zhu, Z., & Somfai, G. M. (2025). Evaluating the reproducibility of a deep learning algorithm for the prediction of retinal age. Gero Science: Official Journal of the American Aging Association (AGE), 47(2), 2541-2554. https://doi.org/10.1007/s11357-024-01445-0

ZOELLIN, Jay Rodney Toby, TURGUT, Ferhat, CHEN, Ruiye, SAAD, Amr, GIESSER, Samuel D., SOMMER, Chiara, GUIGNARD, Viviane, IHLE, Jonas, MONO, Marie-Louise, BECKER, Matthias D., ZHU, Zhuoting and SOMFAI, Gábor Márk, 2025. Evaluating the reproducibility of a deep learning algorithm for the prediction of retinal age. Gero Science: Official Journal of the American Aging Association (AGE). 1 April 2025. Vol. 47, no. 2, p. 2541-2554. DOI 10.1007/s11357-024-01445-0.

Zoellin, J. R. T., F. Turgut, R. Chen, A. Saad, S. D. Giesser, C. Sommer, V. Guignard, J. Ihle, M.-L. Mono, M. D. Becker, Z. Zhu, and G. M. Somfai. “Evaluating the Reproducibility of a Deep Learning Algorithm for the Prediction of Retinal Age”. Gero Science: Official Journal of the American Aging Association (AGE), vol. 47, no. 2, Apr. 2025, pp. 2541-54, https://doi.org/10.1007/s11357-024-01445-0.

Zoellin, Jay Rodney Toby/Turgut, Ferhat/Chen, Ruiye/Saad, Amr/Giesser, Samuel D./Sommer, Chiara et al.: Evaluating the reproducibility of a deep learning algorithm for the prediction of retinal age, Gero Science: Official Journal of the American Aging Association (AGE) 2025, 2541-2554.

Zoellin, J.R.T., Turgut, F., Chen, R., Saad, A., Giesser, S.D., Sommer, C., Guignard, V., Ihle, J., Mono, M.-L., Becker, M.D., Zhu, Z. and Somfai, G.M. (2025), “Evaluating the reproducibility of a deep learning algorithm for the prediction of retinal age”, Gero Science: Official Journal of the American Aging Association (AGE), Vol. 47 No. 2, pp. 2541-2554.