Arbabi, S.; Arbabi, V.; Costa, L.; Katen, I.t.; Mastbergen, S.C.; Seevinck, P.R.; de Jong, P.A.; Weinans, H.; Jansen, M.P.; Foppen, W.
Deep Learning Based Automatic Ankle Tenosynovitis Quantification from MRI in Patients with Psoriatic Arthritis: A Feasibility Study. Diagnostics 2025, 15, 1469.
https://doi.org/10.3390/diagnostics15121469
AMA Style
Arbabi S, Arbabi V, Costa L, Katen It, Mastbergen SC, Seevinck PR, de Jong PA, Weinans H, Jansen MP, Foppen W.
Deep Learning Based Automatic Ankle Tenosynovitis Quantification from MRI in Patients with Psoriatic Arthritis: A Feasibility Study. Diagnostics. 2025; 15(12):1469.
https://doi.org/10.3390/diagnostics15121469
Chicago/Turabian Style
Arbabi, Saeed, Vahid Arbabi, Lorenzo Costa, Iris ten Katen, Simon C. Mastbergen, Peter R. Seevinck, Pim A. de Jong, Harrie Weinans, Mylène P. Jansen, and Wouter Foppen.
2025. "Deep Learning Based Automatic Ankle Tenosynovitis Quantification from MRI in Patients with Psoriatic Arthritis: A Feasibility Study" Diagnostics 15, no. 12: 1469.
https://doi.org/10.3390/diagnostics15121469
APA Style
Arbabi, S., Arbabi, V., Costa, L., Katen, I. t., Mastbergen, S. C., Seevinck, P. R., de Jong, P. A., Weinans, H., Jansen, M. P., & Foppen, W.
(2025). Deep Learning Based Automatic Ankle Tenosynovitis Quantification from MRI in Patients with Psoriatic Arthritis: A Feasibility Study. Diagnostics, 15(12), 1469.
https://doi.org/10.3390/diagnostics15121469
