Combining temporal interpolation and DCNN for faster recognition of micro-expressions in video sequences. - Veena Mayya; Radhika M. Pai; M. M. Manohara Pai (ICACCI, 2016)

Parallel Implementation of Rotation Visual Cryptography on GPU using CUDA. - Veena Mayya; Aparna Nayak (ICAIP, 2017)

COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data. - Veena Mayya; Karthik K; Kamath S. Sowmya; Krishnananda Karadka; Jayakumar Jeganathan (HEALTHINF, 2021)

$ mathcal{LAJA}{-}$ Label Attention Transformer Architectures for ICD-10 Coding of Unstructured Clinical Notes. - Veena Mayya; S. Sowmya Kamath; Vijayan Sugumaran (CIBCB, 2021)

A Probabilistic Precision Information Retrieval Model for Personalized Clinical Trial Recommendation based on Heterogeneous Data. - Sowmya Kamath S.; Veena Mayya; Priyadarshini R (ICCCNT, 2021)

DeepOA: Clinical Decision Support System for Early Detection and Severity Grading of Knee Osteoarthritis. - Yuvraj Dalia; Adikar Bharath; Veena Mayya; S. Sowmya Kamath (ICCCSP, 2021)

Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries. - Veena Mayya; Sowmya Kamath S.; Gokul S. Krishnan; Tushaar Gangavarapu (Future Gener. Comput. Syst., 2021)

A Comprehensive Machine Learning Based Pipeline for an Accurate Early Prediction of Sepsis in ICU. - B. C. Srimedha; Rashmi Naveen Raj; Veena Mayya (IEEE Access, 2022)

Real-Time Web Application to Classify Diabetic Foot Ulcer. - Souhrid Nandi; Apoorva Anurag; Veena Mayya; Jayakumar Jeganathan (ICCCNT, 2023)

Ocular Region Segmentation Model for Diagnosis of Microbial Keratitis Using Slit-Lamp Photography. - Supreetha R.; Sowmya Kamath S.; Veena Mayya (ICCCNT, 2023)

An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images. - Veena Mayya; S. Sowmya Kamath; Uma Kulkarni; Divyalakshmi Kaiyoor Surya; U. Rajendra Acharya (Appl. Intell., 2023)

Multi-task deep neural network models for learning COVID-19 disease representations from multimodal data. - Veena Mayya; Karthik K; Krishnananda Prabhu Karadka; S. Sowmya Kamath (Int. J. Medical Eng. Informatics, 2023)

Empirical Study of Feature Selection Methods in Regression for Large-Scale Healthcare Data: A Case Study on Estimating Dental Expenditures. - Veena Mayya; Christian King; Giang T. Vu; Varadraj Prabhu Gurupur (IEEE Access, 2024)

The Need for Standards in Evaluating the Quality of Electronic Health Records and Dental Records: A Narrative Review. - Varadraj Prabhu Gurupur; Giang T. Vu; Veena Mayya; Christian King (Big Data Cogn. Comput., 2024)

FFA-Lens: Lesion detection tool for chronic ocular diseases in Fluorescein angiography images. - Veena K. M.; Venkat Tummala; Yuva Sahith Varma Sangaraju; Marreddy Sai Vineel Reddy; Preetham Kumar; Veena Mayya; Uma Kulkarni; Sulatha V. Bhandary; Shailaja S. (SoftwareX, 2024)