The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Brain Tumor Classification Using Convolutional Neural Network
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Citations
Cites
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474
Very Deep Convolutional Networks for Large-Scale Image Recognition
Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 114,148
Siegel, R. L., Miller, K. D., & Jemal, A. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21332 · Cited by 16,003
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2015) · arXiv · doi:10.48550/arxiv.1512.03385 · Cited by 4,196
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
An Introduction to Convolutional Neural Networks
O’Shea, K., & Nash, R. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1511.08458 · Cited by 951
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
Zacharaki, E. I., Wang, S., Chawla, S., Soo Yoo, D., Wolf, R., Melhem, E. R., & Davatzikos, C. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22147 · Cited by 855
State of the art survey on MRI brain tumor segmentation
Gordillo, N., Montseny, E., & Sobrevilla, P. (2013) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2013.05.002 · Cited by 697
Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation
Cheng, J., Yang, W., Huang, M., Huang, W., Jiang, J., Zhou, Y., Yang, R., Zhao, J., Feng, Y., Feng, Q., et al. (2016) · PLOS ONE · doi:10.1371/journal.pone.0157112 · Cited by 293
Cited by
Gumaei, A., Hassan, M. M., Hassan, M. R., Alelaiwi, A., & Fortino, G. (2019) · IEEE Access · doi:10.1109/access.2019.2904145 · Cited by 484
A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor
Noreen, N., Palaniappan, S., Qayyum, A., Ahmad, I., Imran, M., & Shoaib, M. (2020) · IEEE Access · doi:10.1109/access.2020.2978629 · Cited by 478
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
Abdelaziz Ismael, S. A., Mohammed, A., & Hefny, H. (2020) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2019.101779 · Cited by 417
Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview
Solanki, S., Singh, U. P., Chouhan, S. S., & Jain, S. (2023) · IEEE Access · doi:10.1109/access.2023.3242666 · Cited by 259
Metadata
- Authors
- Abiwinanda, N., Hanif, M., Hesaputra, S. T., Handayani, A., & Mengko, T. R.
- Venue
- IFMBE Proceedings
- Publisher
- Springer Nature Singapore
- Published
- 2018-05-30
- Pages
- 183-189
- ISSN
- 1433-9277 (ISSN-L)
- 1680-0737
- OpenAlex
- W2810138651
- Cited by
- 631
- References
- 15
- FWCI
- 19.87
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Brain Tumor Classification Using Convolutional Neural Network. https://app.cochat.ai/papers/10.1007/978-981-10-9035-6_33
- The paper
- Abiwinanda, N., Hanif, M., Hesaputra, S. T., Handayani, A., & Mengko, T. R. (2019). Brain Tumor Classification Using Convolutional Neural Network. IFMBE Proceedings. https://doi.org/10.1007/978-981-10-9035-6_33
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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.
