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International Journal of Pharmaceutics|November 18, 2024
Simultaneous prediction of the API concentration and mass gain of film coated tablets using Near-Infrared and Raman spectroscopy and data fusionBence Szabó-Szőcs, Máté Ficzere, Orsolya Péterfi, et al.
Molecules (Basel, Switzerland)|August 3, 2019
Hypotensive Snake Venom Components-A Mini-ReviewOrsolya Péterfi, Francisc Boda, Zoltán Szabó, et al.
European Journal of Pharmaceutics and Biopharmaceutics : Official Journal of Arbeitsgemeinschaft Fur Pharmazeutische Verfahrenstechnik E.V|October 10, 2024
Process analytical technology based quality assurance of API concentration and fiber diameter of electrospun amorphous solid dispersionsBettina Fazekas, Orsolya Péterfi, Dorián László Galata, et al.
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|October 16, 2023
Image-based simultaneous particle size distribution and concentration measurement of powder blend components with deep learning and machine visionMáté Ficzere, Orsolya Péterfi, Attila Farkas, et al.
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|October 22, 2025
Simultaneous in-line particle size distribution determination of drug and excipient from their powder blend using endoscopic imaging and AIMáté Benczúr, Máté Ficzere, Orsolya Péterfi, et al.
International Journal of Pharmaceutics|December 11, 2024
The current state-of-the art in pharmaceutical continuous film coating - A reviewDorián László Galata, Orsolya Péterfi, Máté Ficzere, et al.
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|March 22, 2025
Real-time component-based particle size measurement and dissolution prediction during continuous powder feeding using machine vision and artificial intelligence-based object detectionÁron Kálnai, Máté Ficzere, Brigitta Nagy, et al.
International Journal of Pharmaceutics|November 3, 2024
Automated tablet defect detection and the prediction of disintegration time and crushing strength with deep learning based on tablet surface imagesAnna Diószegi, Máté Ficzere, Lilla Alexandra Mészáros, et al.
Acta Pharmaceutica (Zagreb, Croatia)|January 18, 2023
Quality-by-design in pharmaceutical development: From current perspectives to practical applicationsBéla Kovács, Orsolya Péterfi, Boglárka Kovács-Deák, et al.
The AAPS Journal|July 8, 2025
Comparison of Surrogate Models in Tablet Dissolution Prediction: Addressing the Limitations of F₂ and Introducing Sum of Ranking Differences for Model EvaluationOrsolya Péterfi, Béla Kovács, Tibor Casian, et al.
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