The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
MRI based medical image analysis: Survey on brain tumor grade classification
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Citations
Cites
The multimodal brain tumor image segmentation benchmark (BRATS)
Menze, B. H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R., et al. (2015) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2377694 · Cited by 6,781
Davies, A., & Fennessy, P. (2001) · Digital Imaging for Photographers · doi:10.1016/b978-0-240-51590-8.50007-x · Cited by 4,371
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
Jolliffe, I. (2014) · Wiley StatsRef: Statistics Reference Online · doi:10.1002/9781118445112.stat06472 · Cited by 1,221
A survey of MRI-based medical image analysis for brain tumor studies
Bauer, S., Wiest, R., Nolte, L.-P., & Reyes, M. (2013) · Physics in Medicine and Biology · doi:10.1088/0031-9155/58/13/r97 · Cited by 1,036
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
Review of MRI-based brain tumor image segmentation using deep learning methods
Işın, A., Direkoğlu, C., & Şah, M. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.09.407 · Cited by 766
Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm
El-Dahshan, E.-S. A., Mohsen, H. M., Revett, K., & Salem, A.-B. M. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.01.021 · Cited by 635
Virtual and real brain tumors: using mathematical modeling to quantify glioma growth and invasion
Swanson, K. R., Bridge, C., Murray, J. D., & Alvord, E. C. (2003) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2003.06.001 · Cited by 594
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
Abd-Ellah, M. K., Awad, A. I., Khalaf, A. A. M., & Hamed, H. F. A. (2019) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2019.05.028 · Cited by 348
Skin cancer diagnosis based on optimized convolutional neural network
Zhang, N., Cai, Y.-X., Wang, Y.-Y., Tian, Y.-T., Wang, X.-L., & Badami, B. (2020) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2019.101756 · Cited by 312
Özyurt, F., Sert, E., & Avcı, D. (2020) · Medical Hypotheses · doi:10.1016/j.mehy.2019.109433 · Cited by 210
Sharif, M., Amin, J., Raza, M., Yasmin, M., & Satapathy, S. C. (2020) · Pattern Recognition Letters · doi:10.1016/j.patrec.2019.11.017 · Cited by 206
Metadata
- Authors
- Mohan, G., & Subashini, M. M.
- Venue
- Biomedical Signal Processing and Control
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 39
- Pages
- 139-161
- ISSN
- 1746-8094 (ISSN-L)
- OpenAlex
- W2744130673
- Cited by
- 401
- References
- 60
- FWCI
- 13.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: MRI based medical image analysis: Survey on brain tumor grade classification. https://app.cochat.ai/papers/10.1016/j.bspc.2017.07.007
- The paper
- Mohan, G., & Subashini, M. M. (2018). MRI based medical image analysis: Survey on brain tumor grade classification. Biomedical Signal Processing and Control. https://doi.org/10.1016/j.bspc.2017.07.007
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.
