The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Deep CNN for Brain Tumor Classification
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Citations
Cites
ImageNet Large Scale Visual Recognition Challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-015-0816-y · Cited by 39,380
Mastering the game of Go with deep neural networks and tree search
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al. (2016) · Nature · doi:10.1038/nature16961 · Cited by 15,612
A survey on deep learning in medical image analysis
Litjens, G., Kooi, T., Bejnordi, B. E., Setio, A. A. A., Ciompi, F., Ghafoorian, M., van der Laak, J. A. W. M., van Ginneken, B., & Sánchez, C. I. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.07.005 · Cited by 15,332
Siegel, R. L., Miller, K. D., & Jemal, A. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21387 · Cited by 14,712
(2016) · Cited by 11,679
DeepFace: Closing the Gap to Human-Level Performance in Face Verification
Taigman, Y., Yang, M., Ranzato, M., & Wolf, L. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.220 · Cited by 6,542
Deep visual-semantic alignments for generating image descriptions
Karpathy, A., & Fei-Fei, L. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298932 · Cited by 4,902
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., et al. (2013) · Journal of Digital Imaging · doi:10.1007/s10278-013-9622-7 · Cited by 4,599
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Tajbakhsh, N., Shin, J. Y., Gurudu, S. R., Hurst, R. T., Kendall, C. B., Gotway, M. B., & Liang, J. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2535302 · Cited by 3,277
A Review on Evaluation Metrics for Data Classification Evaluations
M, H., & M.N, S. (2015) · International Journal of Data Mining & Knowledge Management Process · doi:10.5121/ijdkp.2015.5201 · Cited by 2,693
Cited by
Brain tumor detection and classification using machine learning: a comprehensive survey
Amin, J., Sharif, M., Haldorai, A., Yasmin, M., & Nayak, R. S. (2022) · Complex & Intelligent Systems · doi:10.1007/s40747-021-00563-y · Cited by 503
Metadata
- Authors
- Ayadi, W., Elhamzi, W., Charfi, I., & Atri, M.
- Venue
- Neural Processing Letters
- Published
- 2021-01-06
- Volume
- 53
- Issue
- 1
- Pages
- 671-700
- ISSN
- 1370-4621 (ISSN-L)
- 1573-773X
- OpenAlex
- W3120491988
- Cited by
- 448
- References
- 68
- FWCI
- 21.74
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Deep CNN for Brain Tumor Classification. https://app.cochat.ai/papers/10.1007/s11063-020-10398-2
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- Ayadi, W., Elhamzi, W., Charfi, I., & Atri, M. (2021). Deep CNN for Brain Tumor Classification. Neural Processing Letters. https://doi.org/10.1007/s11063-020-10398-2
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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.
