Veena Mayya

17 papers C 1Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Comprehensive Review of Deep Learning-Based Retinal Layer Integrity Assessment in Optical Coherence Tomography (OCT).
IEEE Access
T. K. Shivaprasad, Preetham Kumar, Veena Mayya, Sulatha V. Bhandary, T. Shreekumar
2025 J jnl
Application of machine learning to predict periodontal disease in US adults: A cross-sectional analysis of NHANES 2009-2014.
Health Informatics J.
Giang T. Vu, Veena Mayya, Babu Mandhidi, Christian King, Bert B. Little, Varadraj Prabhu Gurupur, Astha Singhal
2024 J jnl
Empirical Study of Feature Selection Methods in Regression for Large-Scale Healthcare Data: A Case Study on Estimating Dental Expenditures.
IEEE Access
Veena Mayya, Christian King, Giang T. Vu, Varadraj Prabhu Gurupur
2024 J jnl
FFA-Lens: Lesion detection tool for chronic ocular diseases in Fluorescein angiography images.
SoftwareX
Veena K. M., Venkat Tummala, Yuva Sahith Varma Sangaraju, Marreddy Sai Vineel Reddy, Preetham Kumar, Veena Mayya, Uma Kulkarni, Sulatha V. Bhandary, Shailaja S.
2024 J jnl
The Need for Standards in Evaluating the Quality of Electronic Health Records and Dental Records: A Narrative Review.
Big Data Cogn. Comput.
Varadraj Prabhu Gurupur, Giang T. Vu, Veena Mayya, Christian King
2023 J jnl
An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images.
Appl. Intell.
Veena Mayya, S. Sowmya Kamath, Uma Kulkarni, Divyalakshmi Kaiyoor Surya, U. Rajendra Acharya
2023 J jnl
Multi-task deep neural network models for learning COVID-19 disease representations from multimodal data.
Int. J. Medical Eng. Informatics
Veena Mayya, Karthik K, Krishnananda Prabhu Karadka, S. Sowmya Kamath
2023 — conf
Ocular Region Segmentation Model for Diagnosis of Microbial Keratitis Using Slit-Lamp Photography.
ICCCNT
Supreetha R., Sowmya Kamath S., Veena Mayya
2023 — conf
Real-Time Web Application to Classify Diabetic Foot Ulcer.
ICCCNT
Souhrid Nandi, Apoorva Anurag, Veena Mayya, Jayakumar Jeganathan
2022 J jnl
A Comprehensive Machine Learning Based Pipeline for an Accurate Early Prediction of Sepsis in ICU.
IEEE Access
B. C. Srimedha, Rashmi Naveen Raj, Veena Mayya
2021 C conf
$\mathcal{LAJA}{-}$ Label Attention Transformer Architectures for ICD-10 Coding of Unstructured Clinical Notes.
CIBCB
Veena Mayya, S. Sowmya Kamath, Vijayan Sugumaran
2021 — conf
A Probabilistic Precision Information Retrieval Model for Personalized Clinical Trial Recommendation based on Heterogeneous Data.
ICCCNT
Sowmya Kamath S., Veena Mayya, Priyadarshini R
2021 — conf
COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data.
HEALTHINF
Veena Mayya, Karthik K, Kamath S. Sowmya, Krishnananda Karadka, Jayakumar Jeganathan
2021 — conf
DeepOA: Clinical Decision Support System for Early Detection and Severity Grading of Knee Osteoarthritis.
ICCCSP
Yuvraj Dalia, Adikar Bharath, Veena Mayya, S. Sowmya Kamath
2021 J jnl
Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries.
Future Gener. Comput. Syst.
Veena Mayya, Sowmya Kamath S., Gokul S. Krishnan, Tushaar Gangavarapu
2017 — conf
Parallel Implementation of Rotation Visual Cryptography on GPU using CUDA.
ICAIP
Veena Mayya, Aparna Nayak
2016 — conf
Combining temporal interpolation and DCNN for faster recognition of micro-expressions in video sequences.
ICACCI
Veena Mayya, Radhika M. Pai, M. M. Manohara Pai