APA (7th ed.) Citation

F, C., L, B., M, Z., G, R. P., F, S., I, B. G., . . . G, M. (2021). Interpretable deep learning as a means for decrypting disease signature in multiple sclerosis. Journal of neural engineering, 18(4), . https://doi.org/10.1088/1741-2552/ac0f4b

Chicago Style (17th ed.) Citation

F, Cruciani, et al. "Interpretable Deep Learning as a Means for Decrypting Disease Signature in Multiple Sclerosis." Journal of Neural Engineering 18, no. 4 (2021). https://doi.org/10.1088/1741-2552/ac0f4b.

MLA (9th ed.) Citation

F, Cruciani, et al. "Interpretable Deep Learning as a Means for Decrypting Disease Signature in Multiple Sclerosis." Journal of Neural Engineering, vol. 18, no. 4, 2021, https://doi.org/10.1088/1741-2552/ac0f4b.