Vishnuvarthanan Govindaraj

30 papers Journal 30
YearRankTypeTitle / Venue / Authors
2025 J jnl
Fuzzy-Based Optimization Techniques for Segmenting the Tumors in Multimodal MRI Images.
Oper. Res. Forum
Saravanan Alagarsamy, Deivanayagampillai Nagarajan, Vishnuvarthanan Govindaraj
2024 J jnl
Development of scalable coding of encrypted images using Modified Absolute Moment Block Truncation Code.
Signal Image Video Process.
Jeya Bright Pankiraj, Vishnuvarthanan Govindaraj, Yu-Dong Zhang, Pallikonda Rajasekaran Murugan, Kottaimalai Ramaraj, Paras Jain, Arunprasath Thiagarajan
2024 J jnl
Expeditious detection and segmentation of bone mass variation in DEXA images using the hybrid GLCM-AlexNet approach.
Soft Comput.
Gautam Amiya, Pallikonda Rajasekaran Murugan, Kottaimalai Ramaraj, Vishnuvarthanan Govindaraj, Muneeswaran Vasudevan, M. Thirumurugan, Yu-Dong Zhang, S. Sheik Abdullah, Arunprasath Thiyagarajan
2024 J jnl
HARNet: design and evaluation of a deep genetic algorithm for recognizing yoga postures.
Signal Image Video Process.
R. Raja Subramanian, Vishnuvarthanan Govindaraj
2024 J jnl
Intelligent Multigrade Brain Tumor Identification in MRI: A Metaheuristic-Based Uncertain Set Framework.
IEEE Trans. Artif. Intell.
Saravanan Alagarsamy, Vishnuvarthanan Govindaraj, A. Shahina, Deivanayagampillai Nagarajan
2024 J jnl
LMGU-NET: methodological intervention for prediction of bone health for clinical recommendations.
J. Supercomput.
Gautam Amiya, Pallikonda Rajasekaran Murugan, Kottaimalai Ramaraj, Vishnuvarthanan Govindaraj, Muneeswaran Vasudevan, M. Thirumurugan, S. Sheik Abdullah, Arunprasath Thiyagarajan
2024 J jnl
SGS: SqueezeNet-guided Gaussian-kernel SVM for COVID-19 Diagnosis.
Mob. Networks Appl.
Fanfeng Shi, Jiaji Wang, Vishnuvarthanan Govindaraj
2023 J jnl
Automated Brain Tumor Segmentation for MR Brain Images Using Artificial Bee Colony Combined With Interval Type-II Fuzzy Technique.
IEEE Trans. Ind. Informatics
Saravanan Alagarsamy, Vishnuvarthanan Govindaraj, A. Senthilkumar
2023 J jnl
Development of scalable coding for the encryption and decryption of images using modified diagonal min-max block truncation code.
Multim. Tools Appl.
Jeya Bright Pankiraj, Vishnuvarthanan Govindaraj, Yudong Zhang, Pallikonda Rajasekaran Murugan, Anisha Milton
2023 J jnl
Development of scalable coding on encrypted images using BTC for different non-overlapping block size.
Signal Image Video Process.
Jeya Bright Pankiraj, Vishnuvarthanan Govindaraj, Yudong Zhang, Pallikonda Rajasekaran Murugan, Kottaimalai Ramaraj
2023 J jnl
FECNet: a Neural Network and a Mobile App for COVID-19 Recognition.
Mob. Networks Appl.
Yudong Zhang, Vishnuvarthanan Govindaraj, Ziquan Zhu
2023 J jnl
Hybrid D-OCapNet: Automated Multi-Class Alzheimer's Disease Classification in Brain MRI Using Hybrid Dense Optimal Capsule Network.
Int. J. Pattern Recognit. Artif. Intell.
A. V. Nisha, M. Pallikonda Rajasekaran, Kottaimalai Ramaraj, Vishnuvarthanan Govindaraj, Thiyagarajan Arunprasath, V. Muneeswaran
2022 J jnl
A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network.
Biomed. Signal Process. Control.
S. K. Rajeev, M. Pallikonda Rajasekaran, Vishnuvarthanan Govindaraj, Thiyagarajan Arunprasath
2022 J jnl
A novel triple-level combinational framework for brain anomaly segmentation to augment clinical diagnosis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Senthilkumar Natarajan, Vishnuvarthanan Govindaraj, Ravipudi Venkata Rao Narayana, Yu-Dong Zhang, Pallikonda Rajasekaran Murugan, Karunanithi Kandasamy, Khurram Ejaz
2022 J jnl
Agnostic multimodal brain anomalies detection using a novel single-structured framework for better patient diagnosis and therapeutic planning in clinical oncology.
Biomed. Signal Process. Control.
Kottaimalai Ramaraj, Vishnuvarthanan Govindaraj, Yu-Dong Zhang, Pallikonda Rajasekaran Murugan, Shui-Hua Wang, Arunprasath Thiyagarajan, Sakthivel Sankaran
2022 J jnl
Minimally parametrized segmentation framework with dual metaheuristic optimisation algorithms and FCM for detection of anomalies in MR brain images.
Biomed. Signal Process. Control.
Senthilkumar Natarajan, Vishnuvarthanan Govindaraj, Yudong Zhang, Pallikonda Rajasekaran Murugan, Kannapiran Balasubramanian, Karunanithi Kandasamy, Khurram Ejaz
2021 J jnl
A smartly designed automated map based clustering algorithm for the enhanced diagnosis of pathologies in brain MR images.
Expert Syst. J. Knowl. Eng.
Vigneshwaran Senthilvel, Vishnuvarthanan Govindaraj, Yu-Dong Zhang, Pallikonda Rajasekaran Murugan, Arun Prasath Thiyagarajan
2021 J jnl
Smart Identification of Topographically Variant Anomalies in Brain Magnetic Resonance Imaging Using a Fish School-Based Fuzzy Clustering Approach.
IEEE Trans. Fuzzy Syst.
Saravanan Alagarsamy, Yudong Zhang, Vishnuvarthanan Govindaraj, Rajasekaran Murugan Pallikonda, Sakthivel Sankaran
2020 J jnl
Automated unsupervised learning-based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI).
IET Image Process.
Vishnuvarthanan Govindaraj, Arunprasath Thiyagarajan, M. Pallikonda Rajasekaran, Yudong Zhang, Rajesh Krishnasamy
2020 J jnl
Hearing loss detection by discrete wavelet transform and multi-layer perceptron trained by nature-inspired algorithms.
Multim. Tools Appl.
Jingyuan Yang, Vishnuvarthanan Govindaraj, Ming Yang, Shuihua Wang
2019 J jnl
Unsupervised learning-based clustering approach for smart identification of pathologies and segmentation of tissues in brain magnetic resonance imaging.
Int. J. Imaging Syst. Technol.
Vigneshwaran Senthilvel, Vishnuvarthanan Govindaraj, Pallikonda Rajasekaran Murugan, Yudong Zhang, Thiyagarajan Arun Prasath
2018 J jnl
Computer-aided automated discrimination of Alzheimer's disease and its clinical progression in magnetic resonance images using hybrid clustering and game theory-based classification strategies.
Comput. Electr. Eng.
P. Rajesh Kumar, Thiyagarajan Arunprasath, Pallikonda Rajasekaran Murugan, Vishnuvarthanan Govindaraj
2018 J jnl
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.
Expert Syst. Appl.
Anitha Vishnuvarthanan, M. Pallikonda Rajasekaran, Vishnuvarthanan Govindaraj, Yudong Zhang, Arunprasath Thiyagarajan
2018 J jnl
Ridge-based curvilinear structure detection for identifying road in remote sensing image and backbone in neuron dendrite image.
Multim. Tools Appl.
Fanqiang Kong, Vishnuvarthanan Govindaraj, Yudong Zhang
2018 J jnl
Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm.
Multim. Tools Appl.
Yudong Zhang, Guihu Zhao, Junding Sun, Xiaosheng Wu, Zhiheng Wang, Hongmin Liu, Vishnuvarthanan Govindaraj, Tianming Zhan, Jianwu Li
2017 J jnl
A fully automated hybrid methodology using Cuckoo-based fuzzy clustering technique for magnetic resonance brain image segmentation.
Int. J. Imaging Syst. Technol.
Saravanan Alagarsamy, Kartheeban Kamatchi, Vishnuvarthanan Govindaraj, Arunprasath Thiyagarajan
2017 J jnl
An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images.
Appl. Soft Comput.
Anitha Vishnuvarthanan, M. Pallikonda Rajasekaran, Vishnuvarthanan Govindaraj, Yudong Zhang, Arunprasath Thiyagarajan
2017 J jnl
Tumor detection in T1, T2, FLAIR and MPR brain images using a combination of optimization and fuzzy clustering improved by seed-based region growing algorithm.
Int. J. Imaging Syst. Technol.
Vishnuvarthanan Govindaraj, Pallikonda Rajasekaran Murugan, Anitha Vishnuvarthanan, Thiyagarajan Arun Prasath, M. Kannan
2016 J jnl
An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images.
Appl. Soft Comput.
Vishnuvarthanan Govindaraj, Pallikonda Rajasekaran Murugan, P. Subbaraj, Anitha Vishnuvarthanan
2014 J jnl
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.
Int. J. Imaging Syst. Technol.
Vishnuvarthanan Govindaraj, Pallikonda Rajasekaran Murugan