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Ágnes Győrfi
Ágnes Győrfi
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Verified email at ms.sapientia.ro
Title
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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
232021
Low and high grade glioma segmentation in multispectral brain MRI data
L Szilágyi, D Iclănzan, Z Kapás, Z Szabó, Á Győrfi, L Lefkovits
Acta Universitatis Sapientiae, Informatica 10 (1), 110-132, 2018
222018
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
112019
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
112017
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
102019
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
92021
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
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
72019
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
52020
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
42020
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
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, 0
2
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
2023
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
2022
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