Zsombor Kristóf Nagy

发表

UV/VIS imaging-based PAT tool for drug particle size inspection in intact tablets supported by pattern recognition neural networks.

A. Farkas, Brigitta Nagy, L. Madarász, 2022, International journal of pharmaceutics.

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

P. Zlatos, Brigitta Nagy, S. Horkovics-Kovats, 2022, International journal of pharmaceutics.

End-to-End Continuous Manufacturing of Conventional Compressed Tablets: from Flow Synthesis to Tableting through Integrated Crystallization and Filtration.

H. Pataki, Z. Nagy, A. Farkas, 2020, International journal of pharmaceutics.

Improvement of drug processability in a connected continuous crystallizer system using formulation additive.

H. Pataki, G. Marosi, M. Gyürkés, 2023, International journal of pharmaceutics.

Digital UV/VIS imaging: a rapid PAT tool for crushing strength, drug content and particle size distribution determination in tablets.

Kristóf Csorba, Attila Farkas, Lajos Madarász, 2020, International journal of pharmaceutics.

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

L. Madarász, Lilla Alexandra Mészáros, Dorián László Galata, 2021, International journal of pharmaceutics.

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

G. Marosi, A. Farkas, Brigitta Nagy, 2023, International journal of pharmaceutics.

In-line particle size measurement based on image analysis in a fully continuous granule manufacturing line for rapid process understanding and development.

G. Marosi, A. Farkas, A. Domokos, 2021, International journal of pharmaceutics.

Videometric Mass Flow Control: A New Method for Real-Time Measurement and Feedback Control of Powder Micro-Feeding based on Image Analysis.

Kristóf Csorba, László Lengyel, Tibor Casian, 2020, International journal of pharmaceutics.

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

I. Antal, N. Kállai-Szabó, Lilla Alexandra Mészáros, 2022, International journal of pharmaceutics.

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

A. Farkas, E. Szabó, F. Ronkay, 2023, International journal of pharmaceutics.

Digital Twin of Low Dosage Continuous Powder Blending - Artificial Neural Networks and Residence Time Distribution Models.

G. Marosi, A. Farkas, M. Gyürkés, 2021, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

Development of fast-dissolving dosage forms of curcuminoids by electrospinning for potential tumor therapy application

L. Molnár, G. Marosi, A. Farkas, 2021, International Journal of Pharmaceutics.

Explainable deep recurrent neural networks for the batch analysis of a pharmaceutical tableting process in the spirit of Pharma 4.0.

H. Pataki, A. Farkas, Brigitta Nagy, 2024, International journal of pharmaceutics.