Brain stroke detection using convolutional neural network and deep learning models BR Gaidhani, RR Rajamenakshi, S Sonavane 2019 2nd International conference on intelligent communication and …, 2019 | 25 | 2019 |
Multi-Layer Perceptron Based Lung Tumor Classification S Potghan, R Rajamenakshi, A Bhise Second International Conference on Electronics, Communication and Aerospace …, 2018 | 24 | 2018 |
Behavior model for detecting data exfiltration in network environment R Ramachandran, S Neelakantan, AS Bidyarthy 2011 IEEE 5th International Conference on Internet Multimedia Systems …, 2011 | 24 | 2011 |
Large Scale Image feature extraction from medical image analysis DD Manojbhai, R Rajamenakshi International journal of advanced engineering and research, 2016 | 12 | 2016 |
Visualization of flow data based on clustering technique for identifying network anomalies MP Singh, N Subramanian 2009 IEEE Symposium on Industrial Electronics & Applications 2, 973-978, 2009 | 9 | 2009 |
Big image analysis for identifying tumor pattern similarities DD Manojbhai, KK Pradipkumar, R Rajamenakshi 2016 International Conference on Advanced Communication Control and …, 2016 | 5 | 2016 |
Segmentation of large scale medical images using HPC: Classification of methods and challenges KK Pradipkumar, R Rajamenakshi International Journal of Advance Engineering and Research (IJAERS) 3 (1), 56-61, 2016 | 5 | 2016 |
Design and Detection of Network Covert Channel - An Overview PG Rajamenakshi IJCSIS 14 (6), 821-828, 2016 | 2 | 2016 |
E-LEARNING: STATE OF ART SURVEY, ANALYSIS AND RECOMMENDATIONS TOWARDS USER PERSONALIZED E-LEARNING FRAMEWORK R Rajamenakshi, S Pal | 2* | |
Prediction analysis for tumor growth from large scale non-invasive image KK Pradipkumar, DD Manojbhai, R Rajamenakshi 2016 IEEE International Conference on Recent Trends in Electronics …, 2016 | 1 | 2016 |
Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO-2015) V Ravi, BK Panigrahi, S Das, PN Suganthan Springer, 2015 | 1 | 2015 |
An integrated network behavior and policy based data exfiltration detection framework R Rajamenakshi, G Padmavathi Proceedings of the Fifth International Conference on Fuzzy and Neuro …, 2015 | 1 | 2015 |
Privacy-preserving dashboard for clinical data using open-source federated learning infrastructure GK Varsha Gouthamchand, Rajamenakshi Ramachandran, leonard wee https://www.estro.org/Congresses/ESTRO-2022/1303/other/10067/privacy …, 2022 | | 2022 |
Implementation of Big Imaging Data Pipeline Adhering to FAIR Principles for Federated Machine Learning in Oncology IEEE Transactions on Radiation and Plasma Medical Sciences, 2021 | | 2021 |
Addressing data privacy in digital health: Discussion on policies, regulations, and technical standards in India GS Rajamenakshi, Manisha Mantri The futures of eHealth - Social, ethical and legal challenges 3297267, 2019 | | 2019 |
A Novel Approach for Tumor Segmentation for Lung Cancer Using Multi-objective Genetic Algorithm GS A Choudhury, Rajamenakshi Proceedings of the 2nd International Conference on Data Engineering and …, 2019 | | 2019 |
Interoperability for Telemedicine Solution using Data Exchange Standards GS Ananya Choudhury, Bhumika Khawshi, Shailendra Singh Narwariya ... Telemedicon 2017, 2017 | | 2017 |
AN APPROACH TO CONTEXT-AWARE LEARNING CONTENT MANAGEMENT SYSTEM FOR PERSONALIZED E-LEARNING SYSTEMS JA Rajamenakshi Ramachandran ICISO 2009, 2009 | | 2009 |
PO-1062 Privacy-preserving dashboard for clinical data using open-source federated learning infrastructure | | |
Brain Stroke Detection Using Convolutional Neural Network and Deep Learning Models Rajamenakshi International Conference on Intelligent Communication and Computational …, 0 | | |