Szabolcs Csaholczi

According to our database, Szabolcs Csaholczi authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Segmentation of Brain Tumor Parts from Multi-spectral MRI Records Using Deep Learning and U-Net Architecture.

Szabolcs Csaholczi, Ágnes Györfi, Levente Kovács, László Szilágyi

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2024

2021

Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data.

Andrea Koble, Ágnes Gyorfi, Szabolcs Csaholczi, Béla Surányi, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi

Proceedings of the 2021 IEEE AFRICON, 2021

2020

Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning^*.

Tímea Fülöp, Ágnes Gyorfi, Szabolcs Csaholczi, Levente Kovács, László Szilágyi

Proceedings of the 15th IEEE International Conference of System of Systems Engineering, 2020

Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach.

Ágnes Gyorfi, Szabolcs Csaholczi, Tímea Fülöp, Levente Kovács, László Szilágyi

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Brain Tumor Segmentation from Multi-spectral MR Image Data Using Random Forest Classifier.

Szabolcs Csaholczi, David Iclanzan, Levente Kovács, László Szilágyi

Proceedings of the Neural Information Processing - 27th International Conference, 2020