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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Fully Automatic Procedure for Brain Tumor Segmentation from Multi-Spectral MRI Records Using Ensemble Learning and Atlas-Based Data Enhancement
Ágnes Györfi, László Szilágyi, Levente Kovács
Applied Sciences (2021) Vol. 11, Iss. 2, pp. 564-564
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Automated Detection of Brain Tumor through Magnetic Resonance Images Using Convolutional Neural Network
Sahar Gull, Shahzad Akbar, Habib Ullah Khan
BioMed Research International (2021) Vol. 2021, pp. 1-14
Open Access | Times Cited: 62
HGG and LGG Brain Tumor Segmentation in Multi-Modal MRI Using Pretrained Convolutional Neural Networks of Amazon Sagemaker
Szidónia Lefkovits, László Lefkovits, László Szilágyi
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3620-3620
Open Access | Times Cited: 23
A survey on brain tumor image analysis
Kashfia Sailunaz, Sleiman Alhajj, Tansel Özyer, et al.
Medical & Biological Engineering & Computing (2023) Vol. 62, Iss. 1, pp. 1-45
Closed Access | Times Cited: 13
Comprehensive Survey on Computational Techniques for Brain Tumor Detection: Past, Present and Future
Priyanka Datta, Rajesh Rohilla
Archives of Computational Methods in Engineering (2025)
Closed Access
From black box AI to XAI in neuro-oncology: a survey on MRI-based tumor detection
Asmita Dhiman, Praveen Mittal
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
Open Access
A Multidimensional Particle Swarm Optimization-Based Algorithm for Brain MRI Tumor Segmentation
Zsombor Boga, Csanád Sándor, Péter Kovács
Sensors (2025) Vol. 25, Iss. 9, pp. 2800-2800
Open Access
Glioma segmentation with DWI weighted images, conventional anatomical images, and post-contrast enhancement magnetic resonance imaging images by U-Net
Amir Khorasani, Rahele Kafieh, Masih Saboori, et al.
Physical and Engineering Sciences in Medicine (2022) Vol. 45, Iss. 3, pp. 925-934
Open Access | Times Cited: 11
Brain Tumor Classification Using Convolutional Neural Networks and Deep Learning
Szabolcs Csaholczi, Levente Kovács, László Szilágyi
(2024), pp. 000399-000404
Closed Access | Times Cited: 2
Comparison of Heat Demand Prediction Using Wavelet Analysis and Neural Network for a District Heating Network
Szabolcs Kováč, German Micha’čonok, Igor Halenár, et al.
Energies (2021) Vol. 14, Iss. 6, pp. 1545-1545
Open Access | Times Cited: 15
U-Net architecture variants for brain tumor segmentation of histogram corrected images
Szidónia Lefkovits, László Lefkovits
Acta Universitatis Sapientiae Informatica (2022) Vol. 14, Iss. 1, pp. 49-74
Open Access | Times Cited: 11
Augmentation based detection model for brain tumor using VGG 19
Deependra Rastogi, Prashant Johri, Varun Tiwari
International Journal of Computing and Digital Systems (2023) Vol. 13, Iss. 1, pp. 1227-1237
Open Access | Times Cited: 4
Negligible effect of brain MRI data preprocessing for tumor segmentation
Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106599-106599
Open Access | Times Cited: 1
Enhancing Brain Tumor Diagnosis with L-Net: A Novel Deep Learning Approach for MRI Image Segmentation and Classification
Lehel Dénes-Fazakas, Levente Kovács, György Eigner, et al.
Biomedicines (2024) Vol. 12, Iss. 10, pp. 2388-2388
Open Access | Times Cited: 1
Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data
Andrea Koble, Ágnes Györfi, Szabolcs Csaholczi, et al.
(2021), pp. 1-6
Open Access | Times Cited: 9
A feature selection strategy using Markov clustering, for the optimization of brain tumor segmentation from MRI data
Ioan-Marius Pisak-Lukáts, Levente Kovács, László Szilágyi
Acta Universitatis Sapientiae Informatica (2022) Vol. 14, Iss. 2, pp. 316-337
Open Access | Times Cited: 3
Ocmael: An Optimal Corresponding Multimodal Adaptive Ensemble Learning Model for Brain Tumor Segmentation
Jiashu Xu
(2024)
Closed Access
Using Resizing Layer in U-Net to Improve Memory Efficiency
Lehel Dénes-Fazakas, Szabolcs Csaholczi, György Eigner, et al.
Lecture notes in networks and systems (2024), pp. 38-48
Closed Access
Segmentation of Brain Tumor Parts from Multi-spectral MRI Records Using Deep Learning and U-Net Architecture
Szabolcs Csaholczi, Ágnes Györfi, Levente Kovács, et al.
Lecture notes in computer science (2024), pp. 191-204
Closed Access
Negligible Effect of Brain MRI Data Preprocessing for Tumor Segmentation
Ekaterina Kondrateva, П. С. Дружинина, Alexandra Dalechina, et al.
(2023)
Open Access | Times Cited: 1
Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-Net Cascade Architecture
Lehel Dénes-Fazakas, Levente Kovács, György Eigner, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023), pp. 3003-3008
Closed Access | Times Cited: 1
Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-net Cascade Architecture
Ágnes Györfi, Levente Kovács, László Szilágyi
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023), pp. 1327-1332
Closed Access | Times Cited: 1
An Overview of Segmentation and Classification Techniques: A Survey of Brain Tumour-Related Research
Muhammad Bakhtiar Iman Awang, Shafaf Ibrahim
(2021), pp. 1-6
Closed Access | Times Cited: 3
A two-stage U-net approach to brain tumor segmentation from multi-spectral MRI records
Ágnes Györfi, Levente Kovács, László Szilágyi
Acta Universitatis Sapientiae Informatica (2022) Vol. 14, Iss. 2, pp. 223-247
Open Access | Times Cited: 2
An AI Enabled Framework for MRI-based Data Analytics for Efficient Brain Stroke Detection
Anitha Patil, Sureshkumar Govindaraj
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2023), pp. 1-7
Closed Access
Enhanced imagistic methodologies augmenting radiological image processing in interstitial lung diseases
József Palatka, Levente Kovács, László Szilágyi
Acta Universitatis Sapientiae Informatica (2023) Vol. 15, Iss. 1, pp. 146-169
Open Access
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