Order Article Reprints

Leuschner J, Schmidt M, Ganguly PS, Andriiashen V, Coban SB, Denker A, Bauer D, Hadjifaradji A, Batenburg KJ, Maass P, et al. Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications. Journal of Imaging. 2021; 7(3):44. https://doi.org/10.3390/jimaging7030044

Leuschner, Johannes, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, and et al. 2021. "Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications" Journal of Imaging 7, no. 3: 44. https://doi.org/10.3390/jimaging7030044

Leuschner, J., Schmidt, M., Ganguly, P. S., Andriiashen, V., Coban, S. B., Denker, A., Bauer, D., Hadjifaradji, A., Batenburg, K. J., Maass, P., & van Eijnatten, M. (2021). Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications. Journal of Imaging, 7(3), 44. https://doi.org/10.3390/jimaging7030044