V. Mayya

发表

An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images

U. Acharya, Uma Kulkarni, V. Mayya, 2022, Applied Intelligence (Dordrecht, Netherlands).

Detection of Cardiac Arrhythmia Using Machine Learning Approaches

V. Mayya, Jaidev Chittoria, S. Sowmya Kamath, 2022, 2022 IEEE Region 10 Symposium (TENSYMP).

Deep Learning based detection of Diabetic Retinopathy from Inexpensive fundus imaging techniques

V. Mayya, S. S., T. Harish, 2021, 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT).

Multi-Scale Convolutional Neural Network for Accurate Corneal Segmentation in Early Detection of Fungal Keratitis

P. Barua, Usha R. Acharya, Uma Kulkarni, 2021, Journal of fungi.

Content-based medical image retrieval system for lung diseases using deep CNNs

Shubham Agrawal, V. Mayya, Aastha Chowdhary, 2022, International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management.

An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images

U. Acharya, Uma Kulkarni, V. Mayya, 2022, Applied Intelligence.

Automated microaneurysms detection for early diagnosis of diabetic retinopathy: A Comprehensive review

Uma Kulkarni, V. Mayya, Sowmya Kamath S, 2021 .

Direct cancer tissue proteomics: a method to identify candidate cancer biomarkers from formalin-fixed paraffin-embedded archival tissues

J. Eng, D. Lundgren, K. Rezaul, 2007, Oncogene.

COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data

S. Sowmya Kamath, Jayakumar Jeganathan, Veena Mayya, 2021, HEALTHINF.

Explainable Deep Neural Models for COVID-19 Prediction from Chest X-Rays with Region of Interest Visualization

V. Mayya, Ishan Mathew Nedumkunnel, Linu Elizabeth George, 2021, 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC).

Automatic Facial Expression Recognition Using DCNN

Radhika M. Pai, Veena Mayya, M. M. Manohara Pai, 2016 .

Combining temporal interpolation and DCNN for faster recognition of micro-expressions in video sequences

Radhika M. Pai, M. M. Manohara Pai, Veena Mayya, 2016, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

DeepOA: Clinical Decision Support System for Early Detection and Severity Grading of Knee Osteoarthritis

V. Mayya, Yuvraj Dalia, Adikar Bharath, 2021, 2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP).

$\mathcal{LAJA}{-}$ Label Attention Transformer Architectures for ICD-10 Coding of Unstructured Clinical Notes

S. Sowmya Kamath, Veena Mayya, Vijayan Sugumaran, 2021, 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries

Gokul S. Krishnan, S. SowmyaKamath, Tushaar Gangavarapu, 2021, Future Gener. Comput. Syst..

Generating OCT B-Scan DME images using optimized Generative Adversarial Networks (GANs)

V. Mayya, Akshat Tulsani, Aditya Tripathi, 2023, Heliyon.

Anomaly Detection for Highly Imbalanced Data–an Empirical Analysis

V. Mayya, Akshat Ajay Das, Manohara M M Pai, 2023, 2023 International Conference on Emerging Smart Computing and Informatics (ESCI).

Fuzzy Logic-Based System for Identifying the Severity of Diabetic Macular Edema from OCT B-Scan Images Using DRIL, HRF, and Cystoids

S. Bhandary, Usha R. Acharya, Sameena Pathan, 2023, Diagnostics.

An Efficient Parallel Implementation of CPU Scheduling Algorithms Using Data Parallel Algorithms

Veena Mayya, Aishwarya Yadav, Suvigya Agrawal, 2018, International Conference on Advanced Computing Networking and Informatics.

Detection of bradycardia from electrocardiogram signals using feature extraction and snapshot ensembling

V. Mayya, Subhadeep Sengupta, S. S. Kamath, 2022, International Journal of Information Technology.

Real-Time Web Application to Classify Diabetic Foot Ulcer

V. Mayya, Jayakumar Jeganathan, Souhrid Nandi, 2023, International Conference on Computing Communication and Networking Technologies.

A Probabilistic Precision Information Retrieval Model for Personalized Clinical Trial Recommendation based on Heterogeneous Data

V. Mayya, S. S., P. R, 2021, 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT).

A Comprehensive Machine Learning Based Pipeline for an Accurate Early Prediction of Sepsis in ICU

V. Mayya, Rashmi Naveen Raj, B. C. Srimedha, 2022, IEEE Access.

Applications of Machine Learning in Diabetic Foot Ulcer Diagnosis using Multimodal Images: A Review

V. Mayya, Venkat Tummala, S. Kamath, 2022 .

Automated classification of mandibular canal in relation to third molar using CBCT images

Yogesh Chhaparwal, V. Mayya, Winniecia Dkhar, 2024, F1000Research.

Ocular Region Segmentation Model for Diagnosis of Microbial Keratitis Using Slit-Lamp Photography

V. Mayya, S. S., Supreetha R., 2023, 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT).