Zhang, Y., Ritschel, T., Villanueva Perez, P., Lund University, F. o. S., Lund University, P. a. a. o. s. r. e., Lund University, F. o. E., . . . Lund University, F. o. E. (2024). Reusability report: Unpaired deep-learning approaches for holographic image. Nature Machine Intelligence Advancing X-ray imaging with deep learning, 6(3), 284-290. https://doi.org/10.1038/s42256-024-00798-7
Citace podle Chicago (17th ed.)Zhang, Yuhe, Tobias Ritschel, Pablo Villanueva Perez, Faculty of Science Lund University, Profile areas and other strong research environments Lund University, Faculty of Engineering Lund University, Profile areas and other strong research environments Lund University, a Faculty of Engineering Lund University. "Reusability Report: Unpaired Deep-learning Approaches for Holographic Image." Nature Machine Intelligence Advancing X-ray Imaging with Deep Learning 6, no. 3 (2024): 284-290. https://doi.org/10.1038/s42256-024-00798-7.
Citace podle MLA (9th ed.)Zhang, Yuhe, et al. "Reusability Report: Unpaired Deep-learning Approaches for Holographic Image." Nature Machine Intelligence Advancing X-ray Imaging with Deep Learning, vol. 6, no. 3, 2024, pp. 284-290, https://doi.org/10.1038/s42256-024-00798-7.