Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach. - Zoltán Kapás; László Lefkovits; David Iclanzan; Ágnes Gyorfi; Barna László Iantovics; Szidónia Lefkovits; Sándor Miklós Szilágyi; László Szilágyi (PSIVT, 2017)

A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data. - Ágnes Gyorfi; Zoltán Karetka-Mezei; David Iclanzan; Levente Kovács; László Szilágyi (CIARP, 2019)

Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods. - Ágnes Gyorfi; Levente Kovács; László Szilágyi (CIARP, 2019)

A Feature Ranking and Selection Algorithm for Brain Tumor Segmentation in Multi-Spectral Magnetic Resonance Image Data. - Ágnes Gyorfi; Levente Kovács; László Szilágyi (EMBC, 2019)

Brain Tumor Detection and Segmentation from Magnetic Resonance Image Data Using Ensemble Learning Methods. - Ágnes Gyorfi; Levente Kovács; László Szilágyi (SMC, 2019)

Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach. - Ágnes Gyorfi; Szabolcs Csaholczi; Tímea Fülöp; Levente Kovács; László Szilágyi (SMC, 2020)

Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning*. - Tímea Fülöp; Ágnes Gyorfi; Szabolcs Csaholczi; Levente Kovács; László Szilágyi (SoSE, 2020)

Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data. - Andrea Koble; Ágnes Gyorfi; Szabolcs Csaholczi; Béla Surányi; Lehel Dénes-Fazakas; Levente Kovács; László Szilágyi (AFRICON, 2021)

Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-net Cascade Architecture. - Ágnes Gyorfi; Levente Kovács; László Szilágyi (SMC, 2023)

Segmentation of Brain Tumor Parts from Multi-spectral MRI Records Using Deep Learning and U-Net Architecture. - Szabolcs Csaholczi; Ágnes Györfi; Levente Kovács; László Szilágyi (CIARP (2), 2024)