Amrutkar, A., Kampa, B., Schulz, V., Stegmaier, J., Rothermel, M., & Merhof, D. (2025). Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework.
Citazione stile Chigago Style (17a edizione)Amrutkar, Ankit, Björn Kampa, Volkmar Schulz, Johannes Stegmaier, Markus Rothermel, e Dorit Merhof. Towards Robust and Generalizable Gerchberg Saxton Based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework. 2025.
Citatione MLA (9a ed.)Amrutkar, Ankit, et al. Towards Robust and Generalizable Gerchberg Saxton Based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework. 2025.
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