The joumal uses Crossref ited-by service counts times cited of published aricles. Citedby allows Crossref members to find out who is citing their conten. This is the Citing Article List of “Comparative analysis of transformer architectures for brain tumor classification”.
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No. |
Publication Date |
Citing Article |
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1 |
2026 |
Büşra Karaağaç Eskibağlar, Yelda Polat Yavuz, Gizem Karagöz Doğan, Ali Algarni, Yigitcan Cakmak, Ishak Pacal. Denta-HybridoNet: a hybrid CNN-transformer architecture for automated detection of developmental dental anomalies in pediatric panoramic radiographs, Biomedical Signal Processing and Control. 2026; 118: 109784109784. https://doi.org/10.1016/j.bspc.2026.109784 |
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2 |
2026 |
Abdul Wahid, Hikmat Ullah Khan, Anam Naz, Fawaz Khaled Alarfaj, Abel C. H. Chen. Hybrid lightweight vision transformers with attention mechanism for feature extraction and classification of product designs, PLOS One. 2026; 21: e0343510. https://doi.org/10.1371/journal.pone.0343510 |
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3 |
2026 |
Furkan Sönmez, Fevzi Das. Bridging the Gap Between Theoretical Performance and Clinical Utility in Multi-Class Skin Lesion Diagnosis, Artificial Intelligence in Applied Sciences. 2026; 2: 32. https://doi.org/10.69882/adba.ai.2026015 |
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4 |
2026 |
Sifeu Takougang Kingni, Said Baawain. Comparative Evaluation of Convolutional Neural Network Architectures for Automated Skin Cancer Classification: A Study on the ISIC 2018 Dataset, Artificial Intelligence in Applied Sciences. 2026; 2: 8. https://doi.org/10.69882/adba.ai.2026012 |
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5 |
2026 |
Md Saiful Islam, André Chéagé Chamgoué, Gurvinder Pal Dubb. Benchmarking State-of-the-Art Vision Transformer Architectures for the Automated Classification of Pigmented Skin Lesions, Computers and Electronics in Medicine. 2026; 3: 42. https://doi.org/10.69882/adba.cem.2026015 |
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6 |
2026 |
Suleyman Naral, Yigitcan Cakmak, Ishak Pacal. Comparative evaluation of vision transformers and convolutional networks for breast ultrasound image classification, Exploration of Medicine. 2026; 7: 1001382. https://doi.org/10.37349/emed.2026.1001382 |