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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
242021
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
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
142019
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
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
102021
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
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
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
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
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
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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