The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images
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Citations
Cites
2 retracted
Dansana, D., Kumar, R., Bhattacharjee, A., Hemanth, D. J., Gupta, D. K., Khanna, A. K., & Castillo, O. (2020) · Soft Computing · doi:10.1007/s00500-020-05275-y · Cited by 158
RetractedRETRACTED ARTICLE: Tuberculosis (TB) detection system using deep neural networks
Samuel, R. D. J., & Kanna, B. R. (2018) · Neural Computing and Applications · doi:10.1007/s00521-018-3564-4 · Cited by 81
RetractedAutomated detection of COVID-19 cases using deep neural networks with X-ray images
Ozturk, T., Talo, M., Yildirim, E. A., Baloglu, U. B., Yildirim, O., & Rajendra Acharya, U. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103792 · Cited by 2,594
Apostolopoulos, I. D., & Mpesiana, T. A. (2020) · Physical and Engineering Sciences in Medicine · doi:10.1007/s13246-020-00865-4 · Cited by 2,338
Narin, A., Kaya, C., & Pamuk, Z. (2021) · Pattern Analysis and Applications · doi:10.1007/s10044-021-00984-y · Cited by 2,054
Can AI help in screening viral and COVID-19 pneumonia?
Chowdhury, M. E. H., Rahman, T., Khandakar, A., Mazhar, R., Kadir, M. A., Mahbub, Z. B., Islam, K. R., Khan, M. S., Iqbal, A., Emadi, N. A., et al. (2020) · IEEE Access · doi:10.1109/access.2020.3010287 · Cited by 1,913
Artificial Intelligence (AI) applications for COVID-19 pandemic
Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A. (2020) · Diabetes & Metabolic Syndrome: Clinical Research & Reviews · doi:10.1016/j.dsx.2020.04.012 · Cited by 1,497
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images
Khan, A. I., Shah, J. L., & Bhat, M. M. (2020) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2020.105581 · Cited by 1,312
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning
Minaee, S., Kafieh, R., Sonka, M., Yazdani, S., & Jamalipour Soufi, G. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101794 · Cited by 1,024
COVID-19 Image Data Collection: Prospective Predictions are the Future
Cohen, J. P., Morrison, P., Dao, L., Roth, K., Duong, T., & Ghassem, M. (2020) · Machine Learning for Biomedical Imaging · doi:10.59275/j.melba.2020-48g7 · Cited by 927
Metadata
- Authors
- Vats, S., Sharma, V., Singh, K., Pratap Singh, D., Yazid Bajuri, M., Taniar, D., Innab, N., Mouldi, A., & Ahmadian, A.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2024-12
- Volume
- 255
- Pages
- 124464
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W4399557791
- Cited by
- 391
- References
- 44
- FWCI
- 89.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- This page
- CoChat. (2026). Citation check: Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images. https://app.cochat.ai/papers/10.1016/j.eswa.2024.124464
- The paper
- Vats, S., Sharma, V., Singh, K., Pratap Singh, D., Yazid Bajuri, M., Taniar, D., Innab, N., Mouldi, A., & Ahmadian, A. (2024). Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2024.124464
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.
