DeepGRAI (Deep Gray Rating via Artificial Intelligence): Fast, feasible, and clinically relevant thalamic atrophy measurement on clinical quality T2-FLAIR MRI in multiple sclerosis


Journal article


M. Dwyer, Cassondra Lyman, Hannah Ferrari, N. Bergsland, T. Fuchs, D. Jakimovski, F. Schweser, Bianca Weinstock-Guttmann, R. Benedict, Jon Riolo, Diego G. Silva, R. Zivadinov
NeuroImage: Clinical, 2021

Semantic Scholar DOI PubMedCentral PubMed
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APA
Dwyer, M., Lyman, C., Ferrari, H., Bergsland, N., Fuchs, T., Jakimovski, D., … Zivadinov, R. (2021). DeepGRAI (Deep Gray Rating via Artificial Intelligence): Fast, feasible, and clinically relevant thalamic atrophy measurement on clinical quality T2-FLAIR MRI in multiple sclerosis. NeuroImage: Clinical.

Chicago/Turabian
Dwyer, M., Cassondra Lyman, Hannah Ferrari, N. Bergsland, T. Fuchs, D. Jakimovski, F. Schweser, et al. “DeepGRAI (Deep Gray Rating via Artificial Intelligence): Fast, Feasible, and Clinically Relevant Thalamic Atrophy Measurement on Clinical Quality T2-FLAIR MRI in Multiple Sclerosis.” NeuroImage: Clinical (2021).

MLA
Dwyer, M., et al. “DeepGRAI (Deep Gray Rating via Artificial Intelligence): Fast, Feasible, and Clinically Relevant Thalamic Atrophy Measurement on Clinical Quality T2-FLAIR MRI in Multiple Sclerosis.” NeuroImage: Clinical, 2021.