Articles with public access mandates - Vishnu VarthananLearn more
Not available anywhere: 19
An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images
G Vishnuvarthananan, M Pallikonda Rajasekaran, P Subbaraj, ...
Applied Soft Computing 38 (2016), 190–212, 2016
Mandates: Department of Science & Technology, India
High Performance Multiple Sclerosis Classification by Data Augmentation and AlexNet Transfer Learning Model
YD Zhang, VV Govindaraj, C Tang, W Zhu, J Sun1
Journal of Medical Imaging and Health Informatics 9 (9), 1-10, 2019
Mandates: National Natural Science Foundation of China
Multi-channeled MR brain image segmentation: A novel double optimization approach combined with clustering technique for tumor identification and tissue segmentation
A Narayanan, MP Rajasekaran, Y Zhang, V Govindaraj, A Thiyagarajan
Biocybernetics and Biomedical Engineering 39 (2), 350-381, 2019
Mandates: Department of Science & Technology, India
A Complete Automated Algorithm for Segmentation of Tissues and Identification of Tumor Region in T1, T2, and FLAIR Brain Images Using Optimization and Clustering Techniques
Vishnuvarthanan Govindaraj, Pallikonda Rajasekaran Murugan
International Journal of Imaging Systems and Technology 24 (4), 313–325, 2014
Mandates: Department of Science & Technology, India
Development of a combinational framework to concurrently perform tissue segmentation and tumor identification in T1 - W, T2 - W, FLAIR and MPR type magnetic resonance brain images
A Vishnuvarthananan, P Rajasekaran, V Govindaraj, Y Zhang, ...
Expert Systems with Applications 95 (1), 280-311, 2018
Mandates: Department of Science & Technology, India
Computer-aided automated discrimination of Alzheimer's disease and its clinical progression in magnetic resonance images using hybrid clustering and game theory-based …
P RajeshKumar, T Arunprasath, M Pallikonda Rajasekaran, ...
Computers & Electrical Engineering 72 (72), 283-295, 2018
Mandates: Department of Science & Technology, India
Sensors for bone mineral density measurement to identify the level of osteoporosis: a study
K Ramaraj, G Amiya, PR Murugan, V Govindaraj, M Vasudevan, ...
2022 4th International Conference on Smart Systems and Inventive Technology …, 2022
Mandates: Department of Science & Technology, India
Agnostic multimodal brain anomalies detection using a novel single-structured framework for better patient diagnosis and therapeutic planning in clinical oncology
K Ramaraj, V Govindaraj, YD Zhang, PR Murugan, SH Wang, ...
Biomedical Signal Processing and Control 77, 103786, 2022
Mandates: Department of Science & Technology, India
A robust multi-utility neural network technique integrated with discriminators for bone health decisioning to facilitate clinical-driven processes
K Ramaraj, G Amiya, MP Rajasekaran, V Govindaraj, M Vasudevan, ...
Research on Biomedical Engineering 39 (1), 139-157, 2023
Mandates: Department of Science & Technology, India
Unsupervised learning‐based clustering approach for smart identification of pathologies and segmentation of tissues in brain magnetic resonance imaging
S Vigneshwaran, V Govindaraj, PR Murugan, Y Zhang, TA Prasath
International Journal on Imaging Systems and Technology 2019 (2019), 1-18, 2019
Mandates: Department of Science & Technology, India
Hearing loss detection by discrete wavelet transform and multi-layer perceptron trained by nature-inspired algorithms
J Yang, VV Govindaraj, M Yang, SH Wang
Multimedia Tools and Applications 78 (10.1007/s11042-019-08344-z), 1-29, 2020
Mandates: National Natural Science Foundation of China
Assertion of Low Bone Mass in Osteoporotic X-ray images using Deep Learning Technique
G Amiya, K Ramaraj, PR Murugan, V Govindaraj, M Vasudevan, ...
2022 4th International Conference on Advances in Computing, Communication …, 2022
Mandates: Department of Science & Technology, India
LMGU-NET: methodological intervention for prediction of bone health for clinical recommendations
G Amiya, PR Murugan, K Ramaraj, V Govindaraj, M Vasudevan, ...
The Journal of Supercomputing 80 (11), 15636-15663, 2024
Mandates: Department of Science & Technology, India
Development of scalable coding on encrypted images using BTC for different non-overlapping block size
JB Pankiraj, V Govindaraj, Y Zhang, PR Murugan, R Kottaimalai
Signal, Image and Video Processing 17 (7), 3821-3828, 2023
Mandates: British Heart Foundation, UK Medical Research Council, Royal Society UK
Brain subject segmentation in MR image for classifying Alzheimer’s disease using AdaBoost with information fuzzy network classifier
P Rajesh Kumar, T Arun Prasath, M Pallikonda Rajasekaran, ...
Soft Computing in Data Analytics: Proceedings of International Conference on …, 2019
Mandates: Department of Science & Technology, India
Soil Porosity Analysis Using Combined Maximum Entropy and Class Variance Thresholding
M ArunPandian, T Arunprasath, G Vishnuvarthanan, ...
Microelectronics, Electromagnetics and Telecommunications: Proceedings of …, 2018
Mandates: Department of Science & Technology, India
Extraction of Lesion and Tumor Region in Multi-modal Images Using Novel Self-organizing Map-Based Enhanced Fuzzy C-Means Clustering Algorithm
S Vigneshwaran, G Vishnuvarthanan, M Pallikonda Rajasekaran, ...
Microelectronics, Electromagnetics and Telecommunications: Proceedings of …, 2019
Mandates: Department of Science & Technology, India
Estimation of Bone Degeneration and Porosity Using T-Score from DXA Images for Osteoporotic Patient Classification and Therapy Ideation
K Ramaraj, PR Murugan, V Govindaraj, A Thiyagarajan, S Sheik Abdullah, ...
International Conference on Innovation, Sustainability, and Applied Sciences …, 2023
Mandates: Department of Science & Technology, India
Salp Swarm Optimization Algorithm Based CME-CV Thresholding for Soil Porous Medium Extraction
M Arunpandian, T Arunprasath, G Vishnuvarthanan, M Pallikonda
2019 IEEE International Conference on Clean Energy and Energy Efficient …, 2019
Mandates: Department of Science & Technology, India
Available somewhere: 16
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
SH Wang, VV Govindaraj, JM Górriz, X Zhang, YD Zhang
Information Fusion 67, 208-229, 2021
Mandates: British Heart Foundation, UK Medical Research Council, Government of Spain …
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