The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Brain tumor detection: a long short-term memory (LSTM)-based learning model
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Citations
Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318
Brain tumor segmentation with Deep Neural Networks
Havaei, M., Davy, A., Warde-Farley, D., Biard, A., Courville, A., Bengio, Y., Pal, C., Jodoin, P.-M., & Larochelle, H. (2017) · Medical Image Analysis · doi:10.1016/j.media.2016.05.004 · Cited by 3,278
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
Pereira, S., Pinto, A., Alves, V., & Silva, C. A. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2538465 · Cited by 2,735
Big data analysis for brain tumor detection: Deep convolutional neural networks
Amin, J., Sharif, M., Yasmin, M., & Fernandes, S. L. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.04.065 · Cited by 327
Self-citationBrain Tumour Segmentation based on Extremely Randomized Forest with high-level features
Pinto, A., Pereira, S., Correia, H., Oliveira, J., Rasteiro, D. M. L. D., & Silva, C. A. (2015) · 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7319032 · Cited by 108
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
Self-citationImage Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review
Soomro, T. A., Zheng, L., Afifi, A. J., Ali, A., Soomro, S., Yin, M., & Gao, J. (2023) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2022.3185292 · Cited by 375
Khan, P., Kader, M. F., Islam, S. M. R., Rahman, A. B., Kamal, M. S., Toha, M. U., & Kwak, K.-S. (2021) · IEEE Access · doi:10.1109/access.2021.3062484 · Cited by 293
Saba, T. (2020) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2020.06.033 · Cited by 284
Self-citationAmin, J., Anjum, M., Sharif, M., Kadry, S., Nadeem, A., & Ahmad, S. (2022) · Diagnostics · doi:10.3390/diagnostics12040823 · Cited by 38
Self-citationRetracted
Metadata
- Authors
- Amin, J., Sharif, M., Raza, M., Saba, T., Sial, R., & Shad, S. A.
- Venue
- Neural Computing and Applications
- Published
- 2019-12-04
- Volume
- 32
- Issue
- 20
- Pages
- 15965-15973
- ISSN
- 0941-0643 (ISSN-L)
- 1433-3058
- OpenAlex
- W2992991004
- Cited by
- 198
- References
- 5
- FWCI
- 6.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Brain tumor detection: a long short-term memory (LSTM)-based learning model. https://app.cochat.ai/papers/10.1007/s00521-019-04650-7
- The paper
- Amin, J., Sharif, M., Raza, M., Saba, T., Sial, R., & Shad, S. A. (2020). Brain tumor detection: a long short-term memory (LSTM)-based learning model. Neural Computing and Applications. https://doi.org/10.1007/s00521-019-04650-7
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.
