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Cited by in F6Publishing
For: Győrfi Á, Szilágyi L, Kovács L. A Fully Automatic Procedure for Brain Tumor Segmentation from Multi-Spectral MRI Records Using Ensemble Learning and Atlas-Based Data Enhancement. Applied Sciences 2021;11:564. [DOI: 10.3390/app11020564] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Pisak-lukáts I, Kovács L, László S. A feature selection strategy using Markov clustering, for the optimization of brain tumor segmentation from MRI data. Acta Universitatis Sapientiae, Informatica 2022;14:316-337. [DOI: 10.2478/ausi-2022-0018] [Reference Citation Analysis]
2 Győrfi Á, Kovács L, Szilágyi L. A two-stage U-net approach to brain tumor segmentation from multi-spectral MRI records. Acta Universitatis Sapientiae, Informatica 2022;14:223-247. [DOI: 10.2478/ausi-2022-0014] [Reference Citation Analysis]
3 Lefkovits S, Lefkovits L. U-Net architecture variants for brain tumor segmentation of histogram corrected images. Acta Universitatis Sapientiae, Informatica 2022;14:49-74. [DOI: 10.2478/ausi-2022-0004] [Reference Citation Analysis]
4 Lefkovits S, Lefkovits L, Szilágyi L. HGG and LGG Brain Tumor Segmentation in Multi-Modal MRI Using Pretrained Convolutional Neural Networks of Amazon Sagemaker. Applied Sciences 2022;12:3620. [DOI: 10.3390/app12073620] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
5 Kováč S, Micha’čonok G, Halenár I, Važan P. Comparison of Heat Demand Prediction Using Wavelet Analysis and Neural Network for a District Heating Network. Energies 2021;14:1545. [DOI: 10.3390/en14061545] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]