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Ágnes Győrfi
Ágnes Győrfi
Unknown affiliation
Verified email at ms.sapientia.ro
Title
Cited by
Cited by
Year
A fully automatic procedure for brain tumor segmentation from multi-spectral MRI records using ensemble learning and atlas-based data enhancement
Á Győrfi, L Szilágyi, L Kovács
Applied Sciences 11 (2), 564, 2021
282021
Low and high grade glioma segmentation in multispectral brain MRI data
L Szilágyi, D Iclanzan, Z Kapás, Z Szabó, A Gyorfi, L Lefkovits
Acta Universitatis Sapientiae, Informatica 10 (1), 110-132, 2018
272018
Brain tumor detection and segmentation from magnetic resonance image data using ensemble learning methods
Á Győrfi, L Kovács, L Szilágyi
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
172019
Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data
A Kőble, Á Győrfi, S Csaholczi, B Surányi, L Dénes-Fazakas, L Kovács, ...
2021 IEEE AFRICON, 1-6, 2021
122021
A Feature Ranking and Selection Algorithm for Brain Tumor Segmentation in Multi-Spectral Magnetic Resonance Image Data *
Á Győrfi, L Kovács, L Szilágyi
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
122019
Automatic brain tumor segmentation in multispectral MRI volumes using a random forest approach
Z Kapás, L Lefkovits, D Iclănzan, Á Győrfi, BL Iantovics, S Lefkovits, ...
Pacific-Rim Symposium on Image and Video Technology, 137-149, 2017
102017
Automatic segmentation of low-grade brain tumor using a random forest classifier and Gabor features
Z Szabó, Z Kapás, L Lefkovits, Á Győrfi, SM Szilágyi, L Szilágyi
92018
Brain tumor segmentation from MRI data using ensemble learning and multi-atlas
T Fülöp, Á Győrfi, B Surányi, L Kovács, L Szilágyi
2020 IEEE 18th world symposium on applied machine intelligence and …, 2020
72020
Brain tumor segmentation from multi-spectral magnetic resonance image data using an ensemble learning approach
Á Győrfi, S Csaholczi, T Fülöp, L Kovács, L Szilágyi
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
62020
Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning*
T Fülöp, Á Győrfi, S Csaholczi, L Kovács, L Szilágyi
2020 IEEE 15th International Conference of System of Systems Engineering …, 2020
62020
A study on histogram normalization for brain tumour segmentation from multispectral MR image data
Á Győrfi, Z Karetka-Mezei, D Iclănzan, L Kovács, L Szilágyi
Iberoamerican Congress on Pattern Recognition, 375-384, 2019
62019
A two-stage U-net approach to brain tumor segmentation from multi-spectral MRI records
Á Győrfi, L Kovács, L Szilágyi
Acta Universitatis Sapientiae, Informatica 14 (2), 223-247, 2022
22022
The effect of spectral resolution upon the accuracy of brain tumor segmentation from multi-spectral MRI data
Á Győrfi, T Fülöp, L Kovács, L Szilágyi
2020 IEEE 18th World Symposium on Applied Machine Intelligence and …, 2020
22020
Brain tumour segmentation from multispectral mr image data using ensemble learning methods
Á Győrfi, L Kovács, L Szilágyi
Iberoamerican Congress on Pattern Recognition, 326-335, 2019
22019
Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-net Cascade Architecture
Á Győrfi, L Kovács, L Szilágyi
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023
12023
Effect of spectral resolution on the segmentation quality of magnetic resonance imaging data
Á Győrfi, S Csaholczi, IM Lukáts-Pisak, L Dénes-Fazakas, A Kőble, ...
2022 IEEE 26th International Conference on Intelligent Engineering Systems …, 2022
12022
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