The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.
A Review of Deep Learning on Medical Image Analysis
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Citations
Cites
1 retracted
da Nóbrega, R. V. M., Filho, P. P. R., Rodrigues, M. B., da Silva, S. P. P., Dourado, C. M. J. D. M., & de Albuquerque, V. H. C. (2018) · Neural Computing and Applications · doi:10.1007/s00521-018-3895-1 · Cited by 100
RetractedXception: Deep Learning with Depthwise Separable Convolutions
Chollet, F. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.195 · Cited by 20,380
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
He, K., Zhang, X., Ren, S., & Sun, J. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.123 · Cited by 19,741
Nearest neighbor pattern classification
Cover, T., & Hart, P. (1967) · IEEE Transactions on Information Theory · doi:10.1109/tit.1967.1053964 · Cited by 16,936
(2010) · Cited by 14,134
Shin, H.-C., Roth, H. R., Gao, M., Lu, L., Xu, Z., Nogues, I., Yao, J., Mollura, D., & Summers, R. M. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2528162 · Cited by 5,759
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Aerts, H. J. W. L., Velazquez, E. R., Leijenaar, R. T. H., Parmar, C., Grossmann, P., Carvalho, S., Bussink, J., Monshouwer, R., Haibe-Kains, B., Rietveld, D., et al. (2014) · Nature Communications · doi:10.1038/ncomms5006 · Cited by 5,132
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
Armato, S. G., McLennan, G., Bidaut, L., McNitt‐Gray, M. F., Meyer, C. R., Reeves, A. P., Zhao, B., Aberle, D. R., Henschke, C. I., Hoffman, E. A., et al. (2011) · Medical Physics · doi:10.1118/1.3528204 · Cited by 2,887
LeCun, Y. A., Bottou, L., Orr, G. B., & Müller, K.-R. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-35289-8_3 · Cited by 1,264
Cited by
Review of multimodal machine learning approaches in healthcare
Krones, F., Marikkar, U., Parsons, G., Szmul, A., & Mahdi, A. (2025) · Information Fusion · doi:10.1016/j.inffus.2024.102690 · Cited by 235
Zuhair, V., Babar, A., Ali, R., Oduoye, M. O., Noor, Z., Chris, K., Okon, I. I., & Rehman, L. U. (2024) · Journal of Primary Care & Community Health · doi:10.1177/21501319241245847 · Cited by 197
Large language model for medical images: a survey of taxonomy, systematic review, and future trends
Wang, P., Lu, W., Lu, C., Zhou, R., Li, M., & Qin, L. (2025) · Big Data Mining and Analytics · doi:10.26599/bdma.2024.9020090 · Cited by 21
Metadata
- Authors
- Wang, J., Zhu, H., Wang, S.-H., & Zhang, Y.-D.
- Venue
- Mobile Networks and Applications
- Published
- 2020-11-05
- Volume
- 26
- Issue
- 1
- Pages
- 351-380
- ISSN
- 1383-469X (ISSN-L)
- 1572-8153
- OpenAlex
- W3095986980
- Cited by
- 303
- References
- 115
- FWCI
- 11.74
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Review of Deep Learning on Medical Image Analysis. https://app.cochat.ai/papers/10.1007/s11036-020-01672-7
- The paper
- Wang, J., Zhu, H., Wang, S.-H., & Zhang, Y.-D. (2021). A Review of Deep Learning on Medical Image Analysis. Mobile Networks and Applications. https://doi.org/10.1007/s11036-020-01672-7
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.
