Opfer, R., Krüger, J., Spies, L., Ostwaldt, A., Kitzler, H. H., Schippling, S., & Buchert, R. (2023). Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: Higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability. European radiology, 33(3), 1852-1861. https://doi.org/10.1007/s00330-022-09170-y
Chicago-Zitierstil (17. Ausg.)Opfer, Roland, Julia Krüger, Lothar Spies, Ann-Christin Ostwaldt, Hagen H. Kitzler, Sven Schippling, und Ralph Buchert. "Automatic Segmentation of the Thalamus Using a Massively Trained 3D Convolutional Neural Network: Higher Sensitivity for the Detection of Reduced Thalamus Volume by Improved Inter-scanner Stability." European Radiology 33, no. 3 (2023): 1852-1861. https://doi.org/10.1007/s00330-022-09170-y.
MLA-Zitierstil (9. Ausg.)Opfer, Roland, et al. "Automatic Segmentation of the Thalamus Using a Massively Trained 3D Convolutional Neural Network: Higher Sensitivity for the Detection of Reduced Thalamus Volume by Improved Inter-scanner Stability." European Radiology, vol. 33, no. 3, 2023, pp. 1852-1861, https://doi.org/10.1007/s00330-022-09170-y.