Ágnes Gyorfi

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 9

Top Topics

Magnetic Resonance

Brain Tumor Segmentation

Ensemble Learning

Top Venues

Publications

Ágnes Gyorfi, Levente Kovács, László Szilágyi
Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-net Cascade Architecture. SMC (2023)
Andrea Koble, Ágnes Gyorfi, Szabolcs Csaholczi, Béla Surányi, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi
Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data. AFRICON (2021)
Tímea Fülöp, Ágnes Gyorfi, Szabolcs Csaholczi, Levente Kovács, László Szilágyi
. SoSE (2020)
Ágnes Gyorfi, Szabolcs Csaholczi, Tímea Fülöp, Levente Kovács, László Szilágyi
Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach. SMC (2020)
Ágnes Gyorfi, Zoltán Karetka-Mezei, David Iclanzan, Levente Kovács, László Szilágyi
A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data. CIARP (2019)
Ágnes Gyorfi, Levente Kovács, László Szilágyi
Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods. CIARP (2019)
Ágnes Gyorfi, Levente Kovács, László Szilágyi
A Feature Ranking and Selection Algorithm for Brain Tumor Segmentation in Multi-Spectral Magnetic Resonance Image Data. EMBC (2019)
Ágnes Gyorfi, Levente Kovács, László Szilágyi
Brain Tumor Detection and Segmentation from Magnetic Resonance Image Data Using Ensemble Learning Methods. SMC (2019)
Zoltán Kapás, László Lefkovits, David Iclanzan, Ágnes Gyorfi, Barna László Iantovics, Szidónia Lefkovits, Sándor Miklós Szilágyi, László Szilágyi
Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach. PSIVT (2017)