APA (7th ed.) Citation

Brugnara, G., Isensee, F., Neuberger, U., Bonekamp, D., Petersen, J., Diem, R., . . . Vollmuth, P. (2020). Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis. European radiology, 30(4), . https://doi.org/10.1007/s00330-019-06593-y

Chicago Style (17th ed.) Citation

Brugnara, Gianluca, et al. "Automated Volumetric Assessment with Artificial Neural Networks Might Enable a More Accurate Assessment of Disease Burden in Patients with Multiple Sclerosis." European Radiology 30, no. 4 (2020). https://doi.org/10.1007/s00330-019-06593-y.

MLA (9th ed.) Citation

Brugnara, Gianluca, et al. "Automated Volumetric Assessment with Artificial Neural Networks Might Enable a More Accurate Assessment of Disease Burden in Patients with Multiple Sclerosis." European Radiology, vol. 30, no. 4, 2020, https://doi.org/10.1007/s00330-019-06593-y.