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Máté Ficzere
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Real-time coating thickness measurement and defect recognition of film coated tablets with machine vision and deep learning
M Ficzere, LA Mészáros, N Kállai-Szabó, A Kovács, I Antal, ZK Nagy, ...
International Journal of Pharmaceutics 623, 121957, 2022
452022
Continuous blending monitored and feedback controlled by machine vision-based PAT tool
DL Galata, LA Meszaros, M Ficzere, P Vass, B Nagy, E Szabo, ...
Journal of Pharmaceutical and Biomedical Analysis 196, 113902, 2021
162021
Continuous manufacturing of homogeneous ultralow-dose granules by twin-screw wet granulation
B Démuth, G Fülöp, M Kovács, L Madarász, M Ficzere, Á Köte, B Szabó, ...
Periodica Polytechnica Chemical Engineering 64 (4), 391-400, 2020
162020
Indirect monitoring of ultralow dose API content in continuous wet granulation and tableting by machine vision
M Ficzere, LA Mészáros, L Madarász, M Novák, ZK Nagy, DL Galata
International Journal of Pharmaceutics 607, 121008, 2021
122021
Image-based simultaneous particle size distribution and concentration measurement of powder blend components with deep learning and machine vision
M Ficzere, O Péterfi, A Farkas, ZK Nagy, DL Galata
European Journal of Pharmaceutical Sciences 191, 106611, 2023
112023
In-line particle size measurement during granule fluidization using convolutional neural network-aided process imaging
O Péterfi, L Madarász, M Ficzere, K Lestyán-Goda, P Záhonyi, G Erdei, ...
European Journal of Pharmaceutical Sciences 189, 106563, 2023
102023
UV–VIS imaging-based investigation of API concentration fluctuation caused by the sticking behaviour of pharmaceutical powder blends
O Péterfi, LA Mészáros, B Szabó-Szőcs, M Ficzere, E Sipos, A Farkas, ...
International Journal of Pharmaceutics 655, 124010, 2024
22024
Automated tablet defect detection and the prediction of disintegration time and crushing strength with deep learning based on tablet surface images
A Diószegi, M Ficzere, LA Mészáros, O Péterfi, A Farkas, DL Galata, ...
International Journal of Pharmaceutics 667, 124896, 2024
12024
UV imaging for the rapid at-line content determination of different colourless APIs in their tablets with artificial neural networks
M Ficzere, LA Mészáros, A Diószegi, Z Bánrévi, A Farkas, S Lenk, ...
International Journal of Pharmaceutics 657, 124174, 2024
12024
Effects of omitting titanium dioxide from the film coating of a pharmaceutical tablet–An industrial case study of attempting to comply with EU regulation 2022/63
DL Galata, MS Lázárné, D Kiss-Kovács, G Fülöp, B Dávid, B Bogáti, ...
European Journal of Pharmaceutical Sciences 196, 106750, 2024
12024
High throughput in-line content uniformity measurement of tablets based on real-time UV imaging
M Ficzere, A Diószegi, A Farkas, B Weiss, LA Mészáros, ZK Nagy
International Journal of Pharmaceutics 669, 125066, 2025
2025
Simultaneous prediction of the API concentration and mass gain of film coated tablets using Near-Infrared and Raman spectroscopy and data fusion
B Szabó-Szőcs, M Ficzere, O Péterfi, DL Galata
International Journal of Pharmaceutics 668, 124957, 2025
2025
The current state-of-the art in pharmaceutical continuous film coating–A review
DL Galata, O Péterfi, M Ficzere, B Szabó-Szőcs, E Szabó, ZK Nagy
International Journal of Pharmaceutics, 125052, 2024
2024
UV/VIS-imaging of white caffeine tablets for prediction of CQAs: API content, crushing strength, friability, disintegration time and dissolution profile
LA Mészáros, L Madarász, M Ficzere, R Bicsár, A Farkas, ZK Nagy
International Journal of Pharmaceutics 663, 124565, 2024
2024
Machine vision-based non-destructive dissolution prediction of meloxicam-containing tablets
LA Mészáros, L Madarász, S Kádár, M Ficzere, A Farkas, ZK Nagy
International Journal of Pharmaceutics 655, 124013, 2024
2024
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