American Psychological Association 6th edition

Celard, P., Iglesias, E. L., Sorribes-Fdez, J. M., Romero, R., Vieira, A. S., & Borrajo, L. (2022). A survey on deep learning applied to medical images: from simple artificial neural networks to generative models. Neural Computing and Applications, 1-33. https://doi.org/10.1007/s00521-022-07953-4

ISO-690 (author-date, English)

CELARD, P., IGLESIAS, E. L., SORRIBES-FDEZ, J. M., ROMERO, R., VIEIRA, A. Seara and BORRAJO, L., 2022. A survey on deep learning applied to medical images: from simple artificial neural networks to generative models. Neural Computing and Applications. 4 November 2022. P. 1-33. DOI 10.1007/s00521-022-07953-4.

Modern Language Association 9th edition

Celard, P., E. L. Iglesias, J. M. Sorribes-Fdez, R. Romero, A. S. Vieira, and L. Borrajo. “A Survey on Deep Learning Applied to Medical Images: From Simple Artificial Neural Networks to Generative Models”. Neural Computing and Applications, Nov. 2022, pp. 1-33, https://doi.org/10.1007/s00521-022-07953-4.

Mohr Siebeck - Recht (Deutsch - Österreich)

Celard, P./Iglesias, E. L./Sorribes-Fdez, J. M./Romero, R./Vieira, A. Seara/Borrajo, L.: A survey on deep learning applied to medical images: from simple artificial neural networks to generative models, Neural Computing and Applications 2022, 1-33.

Emerald - Harvard

Celard, P., Iglesias, E.L., Sorribes-Fdez, J.M., Romero, R., Vieira, A.S. and Borrajo, L. (2022), “A survey on deep learning applied to medical images: from simple artificial neural networks to generative models”, Neural Computing and Applications, pp. 1-33.

Warning: These citations may not always be 100% accurate.