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Items where Author is "Csaholczi, Szabolcs"

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Number of items: 5.

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Kőble, Andrea and Győrfi, Ágnes and Csaholczi, Szabolcs and Suranyi, Bela and Dénes-Fazakas, Lehel and Kovács, Levente and Szilágyi, László (2021) Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data. In: 2021 IEEE AFRICON, 2021. szeptember 13-15., Arusha, Tanzania.

Csaholczi, Szabolcs and Kovács, Levente and Szilágyi, László (2021) Automatic Segmentation of Brain Tumor Parts from MRI Data Using a Random Forest Classifier. In: IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI), 21-23 January 2021, Herl'any, Slovakia.

Csaholczi, Szabolcs and Iclanzan, David and Kovacs, Levente and Szilágyi, László (2020) Brain Tumor Segmentation from Multi-Spectral MR Image Data Using Random Forest Classifier. In: International Conference on Neural Information Processing - ICONIP2020, 18-22 Nov 2020, Bangkok, Thailand. (In Press)

Győrfi, Ágnes and Csaholczi, Szabolcs and Fülöp, Tímea and Kovacs, Levente and Szilágyi, László (2020) Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach. In: IEEE International Conference of Systems, Man and Cybernetics (2020, Toronto), 11-14 Oct 2020, Toronto, Kanada. (In Press)

Fulop, Timea and Gyorfi, Agnes and Csaholczi, Szabolcs and Kovacs, Levente and Szilágyi, László (2020) Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning. In: 15th IEEE International Conference of System of Systems Engineering (SoSE 2020), 2-4 Jun 2020, Budapest, Magyarország.

This list was generated on Thu Apr 25 13:00:59 2024 CEST.