A New Rebinning Reconstruction Method for the Low Dose CT Scanners with Flying Focal Spot
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42508-0_25
Reference12 articles.
1. Bilski, J., Kowalczyk, B., Kisiel-Dorohinicki, M., Siwocha, A., Żurada, J.: Towards a very fast feedforward multilayer neural networks training algorithm. J. Art. Intell. Soft Comput. Res. 12(3), 181–195 (2022). https://doi.org/10.2478/jaiscr-2022-0012
2. Bilski, J., Smola̧g, J., Kowalczyk, B., Grzanek, K., Izonin, I.: Fast computational approach to the levenberg-marquardt algorithm for training feedforward neural networks. J. Art. Intell. Soft Comput. Res. 12(2), 45–61 (2023). https://doi.org/10.2478/jaiscr-2023-0006
3. Cierniak, R., Pluta, P.: Statistical iterative reconstruction algorithm based on a continuous-to-continuous model formulated for spiral cone-beam CT. Lecture Notes in Computer Science pp. 613–620 (2020). https://doi.org/10.1007/978-3-030-50420-5-46
4. Cierniak, R., Pluta, P., Kaźmierczak, A.: A practical statistical approach to the reconstruction problem using a single slice rebinning method. J. Art. Intell. Soft Comput. Res. 10(2), 137–149 (2020). https://doi.org/10.2478/jaiscr-2020-0010
5. Cierniak, R.: A new statistical reconstruction method for the computed tomography using an x-ray tube with flying focal spot. J. Art. Intell. Soft Comput. Res. 11(4), 271–286 (2021). https://doi.org/10.2478/jaiscr-2021-0016
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