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Szabolcs Csaholczi
Szabolcs Csaholczi
在 ms.sapientia.ro 的电子邮件经过验证
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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
Brain tumor segmentation from multi-spectral MR image data using random forest classifier
S Csaholczi, D Iclănzan, L Kovács, L Szilágyi
International Conference on Neural Information Processing, 174-184, 2020
92020
Automatic segmentation of brain tumor parts from MRI data using a random forest classifier
S Csaholczi, L Kovács, L Szilágyi
2021 IEEE 19th World Symposium on Applied Machine Intelligence and …, 2021
72021
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
52020
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
Using Resizing Layer in U-Net to Improve Memory Efficiency
L Dénes-Fazakas, S Csaholczi, G Eigner, L Kovács, L Szilágyi
International Conference on Dependability of Computer Systems, 38-48, 2024
2024
Brain Tumor Classification Using Convolutional Neural Networks and Deep Learning
S Csaholczi, L Kovács, L Szilágyi
2024 IEEE 11th International Conference on Computational Cybernetics and …, 2024
2024
Challenges and Difficulties of Multi-Spectral MRI Based Brain Tumor Detection and Segmentation
L Szilágyi, Á Györfi, L Dénes-Fazakas, S Csaholczi, IM Pisak-Lukáts, ...
2023 1st International Conference on Health Science and Technology (ICHST), 1-6, 2023
2023
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