Veena Mayya
Orcid: 0000-0002-8091-5053
According to our database1,
Veena Mayya
authored at least 14 papers
between 2016 and 2024.
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Bibliography
2024
FFA-Lens: Lesion detection tool for chronic ocular diseases in Fluorescein angiography images.
SoftwareX, 2024
Empirical Study of Feature Selection Methods in Regression for Large-Scale Healthcare Data: A Case Study on Estimating Dental Expenditures.
IEEE Access, 2024
2023
Multi-task deep neural network models for learning COVID-19 disease representations from multimodal data.
Int. J. Medical Eng. Informatics, 2023
An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images.
Appl. Intell., 2023
Ocular Region Segmentation Model for Diagnosis of Microbial Keratitis Using Slit-Lamp Photography.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
2022
A Comprehensive Machine Learning Based Pipeline for an Accurate Early Prediction of Sepsis in ICU.
IEEE Access, 2022
2021
Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries.
Future Gener. Comput. Syst., 2021
DeepOA: Clinical Decision Support System for Early Detection and Severity Grading of Knee Osteoarthritis.
Proceedings of the 5th International Conference on Computer, 2021
A Probabilistic Precision Information Retrieval Model for Personalized Clinical Trial Recommendation based on Heterogeneous Data.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021
$\mathcal{LAJA}{-}$ Label Attention Transformer Architectures for ICD-10 Coding of Unstructured Clinical Notes.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021
COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
2017
Proceedings of the International Conference on Advances in Image Processing, 2017
2016
Combining temporal interpolation and DCNN for faster recognition of micro-expressions in video sequences.
Proceedings of the 2016 International Conference on Advances in Computing, 2016