The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Automated Detection of Alzheimer’s Disease Using Brain MRI Images– A Study with Various Feature Extraction Techniques
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Cites
The dual-tree complex wavelet transform
Selesnick, I. W., Baraniuk, R. G., & Kingsbury, N. C. (2005) · IEEE Signal Processing Magazine · doi:10.1109/msp.2005.1550194 · Cited by 2,475
Neuroinflammation in Alzheimer's disease: current evidence and future directions
Calsolaro, V., & Edison, P. (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.02.010 · Cited by 1,726
Prevalence of Amyloid PET Positivity in Dementia Syndromes: A Meta-analysis
Ossenkoppele, R., Jansen, W. J., Rabinovici, G. D., Knol, D. L., van der Flier, W. M., van Berckel, B. N. M., Scheltens, P., Visser, P. J., Verfaillie, S. C. J., Zwan, M. D., et al. (2015) · JAMA · doi:10.1001/jama.2015.4669 · Cited by 677
Hybrid intelligent techniques for MRI brain images classification
El-Dahshan, E.-S. A., Hosny, T., & Salem, A.-B. M. (2010) · Digital Signal Processing · doi:10.1016/j.dsp.2009.07.002 · Cited by 570
Chaplot, S., Patnaik, L. M., & Jagannathan, N. R. (2006) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2006.05.002 · Cited by 541
Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images
Raghavendra, U., Fujita, H., Bhandary, S. V., Gudigar, A., Tan, J. H., & Acharya, U. R. (2018) · Information Sciences · doi:10.1016/j.ins.2018.01.051 · Cited by 448
Self-citationThe Discrete Shearlet Transform: A New Directional Transform and Compactly Supported Shearlet Frames
Lim, W.-Q. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2041410 · Cited by 424
Alzheimer-signature MRI biomarker predicts AD dementia in cognitively normal adults
Dickerson, B. C., Stoub, T. R., Shah, R. C., Sperling, R. A., Killiany, R. J., Albert, M. S., Hyman, B. T., Blacker, D., & deToledo-Morrell, L. (2011) · Neurology · doi:10.1212/wnl.0b013e3182166e96 · Cited by 383
Acharya, U. R., Fujita, H., Lih, O. S., Adam, M., Tan, J. H., & Chua, C. K. (2017) · Knowledge-Based Systems · doi:10.1016/j.knosys.2017.06.003 · Cited by 373
Self-citationClassification of CT brain images based on deep learning networks
Gao, X. W., Hui, R., & Tian, Z. (2017) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2016.10.007 · Cited by 351
Cited by
Transfer learning techniques for medical image analysis: A review
Kora, P., Ooi, C. P., Faust, O., Raghavendra, U., Gudigar, A., Chan, W. Y., Meenakshi, K., Swaraja, K., Plawiak, P., & Rajendra Acharya, U. (2022) · Biocybernetics and Biomedical Engineering · doi:10.1016/j.bbe.2021.11.004 · Cited by 367
Tiwari, A., Srivastava, S., & Pant, M. (2020) · Pattern Recognition Letters · doi:10.1016/j.patrec.2019.11.020 · Cited by 361
A decision support system for multimodal brain tumor classification using deep learning
Sharif, M. I., Khan, M. A., Alhussein, M., Aurangzeb, K., & Raza, M. (2022) · Complex & Intelligent Systems · doi:10.1007/s40747-021-00321-0 · Cited by 305
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
Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders
Raghavendra, U., Acharya, U. R., & Adeli, H. (2019) · European Neurology · doi:10.1159/000504292 · Cited by 174
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Metadata
- Authors
- Acharya, U. R., Fernandes, S. L., WeiKoh, J. E., Ciaccio, E. J., Fabell, M. K. M., Tanik, U. J., Rajinikanth, V., & Yeong, C. H.
- Venue
- Journal of Medical Systems
- Published
- 2019-08-09
- Volume
- 43
- Issue
- 9
- Pages
- 302-302
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- OpenAlex
- W2968726102
- Cited by
- 325
- References
- 56
- FWCI
- 30.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Automated Detection of Alzheimer’s Disease Using Brain MRI Images– A Study with Various Feature Extraction Techniques. https://app.cochat.ai/papers/10.1007/s10916-019-1428-9
- The paper
- Acharya, U. R., Fernandes, S. L., WeiKoh, J. E., Ciaccio, E. J., Fabell, M. K. M., Tanik, U. J., Rajinikanth, V., & Yeong, C. H. (2019). Automated Detection of Alzheimer’s Disease Using Brain MRI Images– A Study with Various Feature Extraction Techniques. Journal of Medical Systems. https://doi.org/10.1007/s10916-019-1428-9
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.
