The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
A deep learning approach for brain tumor classification using MRI images
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Citations
Cites
Selective Search for Object Recognition
Uijlings, J. R. R., van de Sande, K. E. A., Gevers, T., & Smeulders, A. W. M. (2013) · International Journal of Computer Vision · doi:10.1007/s11263-013-0620-5 · Cited by 5,980
Brain tumor classification using deep CNN features via transfer learning
Deepak, S., & Ameer, P. M. (2019) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2019.103345 · Cited by 1,321
Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition
Cheng, J., Huang, W., Cao, S., Yang, R., Yang, W., Yun, Z., Wang, Z., & Feng, Q. (2015) · PLOS ONE · doi:10.1371/journal.pone.0140381 · Cited by 879
Brain Tumor Classification Using Convolutional Neural Network
Abiwinanda, N., Hanif, M., Hesaputra, S. T., Handayani, A., & Mengko, T. R. (2019) · IFMBE Proceedings · doi:10.1007/978-981-10-9035-6_33 · Cited by 631
Kabir Anaraki, A., Ayati, M., & Kazemi, F. (2019) · Biocybernetics and Biomedical Engineering · doi:10.1016/j.bbe.2018.10.004 · Cited by 611
2018 25th IEEE International Conference on Image Processing (ICIP)
(2018) · doi:10.1109/icip34834.2018 · Cited by 596
Irmak, E. (2021) · Iranian Journal of Science and Technology, Transactions of Electrical Engineering · doi:10.1007/s40998-021-00426-9 · Cited by 477
Deep CNN for Brain Tumor Classification
Ayadi, W., Elhamzi, W., Charfi, I., & Atri, M. (2021) · Neural Processing Letters · doi:10.1007/s11063-020-10398-2 · Cited by 448
Ghassemi, N., Shoeibi, A., & Rouhani, M. (2020) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2019.101678 · Cited by 431
Khan, M. A., Ashraf, I., Alhaisoni, M., Damaševičius, R., Scherer, R., Rehman, A., & Bukhari, S. A. C. (2020) · Diagnostics · doi:10.3390/diagnostics10080565 · Cited by 424
Metadata
- Authors
- Aamir, M., Rahman, Z., Dayo, Z. A., Abro, W. A., Uddin, M. I., Khan, I., Imran, A. S., Ali, Z., Ishfaq, M., Guan, Y., & Hu, Z.
- Venue
- Computers and Electrical Engineering
- Publisher
- Elsevier BV
- Published
- 2022-07
- Volume
- 101
- Pages
- 108105
- ISSN
- 0045-7906 (ISSN-L)
- OpenAlex
- W4281572218
- Cited by
- 334
- References
- 20
- FWCI
- 19.57
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: A deep learning approach for brain tumor classification using MRI images. https://app.cochat.ai/papers/10.1016/j.compeleceng.2022.108105
- The paper
- Aamir, M., Rahman, Z., Dayo, Z. A., Abro, W. A., Uddin, M. I., Khan, I., Imran, A. S., Ali, Z., Ishfaq, M., Guan, Y., & Hu, Z. (2022). A deep learning approach for brain tumor classification using MRI images. Computers and Electrical Engineering. https://doi.org/10.1016/j.compeleceng.2022.108105
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
