Lilla Alexandra Mészáros - Search Results

Year	Number of Results
2019	1
2020	1
2021	4
2022	4
2023	3
2024	2

1

Applications of machine vision in pharmaceutical technology: A review.

Galata DL, Mészáros LA, Kállai-Szabó N, Szabó E, Pataki H, Marosi G, Nagy ZK. Galata DL, et al. Among authors: meszaros la. Eur J Pharm Sci. 2021 Apr 1;159:105717. doi: 10.1016/j.ejps.2021.105717. Epub 2021 Jan 14. Eur J Pharm Sci. 2021. PMID: 33454377 Free article. Review.

2

Raman mapping-based non-destructive dissolution prediction of sustained-release tablets.

Galata DL, Zsiros B, Mészáros LA, Nagy B, Szabó E, Farkas A, Nagy ZK. Galata DL, et al. Among authors: meszaros la. J Pharm Biomed Anal. 2022 Apr 1;212:114661. doi: 10.1016/j.jpba.2022.114661. Epub 2022 Feb 12. J Pharm Biomed Anal. 2022. PMID: 35180565 Free article.

3

Machine vision-based non-destructive dissolution prediction of meloxicam-containing tablets.

Alexandra Mészáros L, Madarász L, Kádár S, Ficzere M, Farkas A, Kristóf Nagy Z. Alexandra Mészáros L, et al. Int J Pharm. 2024 Apr 25;655:124013. doi: 10.1016/j.ijpharm.2024.124013. Epub 2024 Mar 17. Int J Pharm. 2024. PMID: 38503398 Free article.

4

Raman-based real-time dissolution prediction using a deterministic permeation model.

Horkovics-Kovats S, László Galata D, Zlatoš P, Nagy B, Alexandra Mészáros L, Kristóf Nagy Z. Horkovics-Kovats S, et al. Among authors: alexandra meszaros l. Int J Pharm. 2022 Apr 5;617:121624. doi: 10.1016/j.ijpharm.2022.121624. Epub 2022 Feb 26. Int J Pharm. 2022. PMID: 35231548 Free article.

5

Continuous blending monitored and feedback controlled by machine vision-based PAT tool.

Galata DL, Mészáros LA, Ficzere M, Vass P, Nagy B, Szabó E, Domokos A, Farkas A, Csontos I, Marosi G, Nagy ZK. Galata DL, et al. Among authors: meszaros la. J Pharm Biomed Anal. 2021 Mar 20;196:113902. doi: 10.1016/j.jpba.2021.113902. Epub 2021 Jan 16. J Pharm Biomed Anal. 2021. PMID: 33486449 Free article.

6

Convolutional neural network-based evaluation of chemical maps obtained by fast Raman imaging for prediction of tablet dissolution profiles.

Galata DL, Zsiros B, Knyihár G, Péterfi O, Mészáros LA, Ronkay F, Nagy B, Szabó E, Nagy ZK, Farkas A. Galata DL, et al. Among authors: meszaros la. Int J Pharm. 2023 Jun 10;640:123001. doi: 10.1016/j.ijpharm.2023.123001. Epub 2023 Apr 30. Int J Pharm. 2023. PMID: 37254287 Free article.

7

Interpretable artificial neural networks for retrospective QbD of pharmaceutical tablet manufacturing based on a pilot-scale developmental dataset.

Nagy B, Szabados-Nacsa Á, Fülöp G, Turák Nagyné A, Galata DL, Farkas A, Mészáros LA, Nagy ZK, Marosi G. Nagy B, et al. Among authors: meszaros la. Int J Pharm. 2023 Feb 25;633:122620. doi: 10.1016/j.ijpharm.2023.122620. Epub 2023 Jan 18. Int J Pharm. 2023. PMID: 36669581 Free article.

8

AI-based analysis of in-line process endoscope images for real-time particle size measurement in a continuous pharmaceutical milling process.

Madarász L, Mészáros LA, Köte Á, Farkas A, Nagy ZK. Madarász L, et al. Among authors: meszaros la. Int J Pharm. 2023 Jun 25;641:123060. doi: 10.1016/j.ijpharm.2023.123060. Epub 2023 May 18. Int J Pharm. 2023. PMID: 37209791 Free article.

9

Indirect monitoring of ultralow dose API content in continuous wet granulation and tableting by machine vision.

Ficzere M, Mészáros LA, Madarász L, Novák M, Nagy ZK, Galata DL. Ficzere M, et al. Among authors: meszaros la. Int J Pharm. 2021 Sep 25;607:121008. doi: 10.1016/j.ijpharm.2021.121008. Epub 2021 Aug 13. Int J Pharm. 2021. PMID: 34391851 Free article.

10

Real-time coating thickness measurement and defect recognition of film coated tablets with machine vision and deep learning.

Ficzere M, Mészáros LA, Kállai-Szabó N, Kovács A, Antal I, Nagy ZK, Galata DL. Ficzere M, et al. Among authors: meszaros la. Int J Pharm. 2022 Jul 25;623:121957. doi: 10.1016/j.ijpharm.2022.121957. Epub 2022 Jun 24. Int J Pharm. 2022. PMID: 35760260 Free article.

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