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ORCIDVishnuvarthanan Govindaraj
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2020 – today
- 2024
[j30]Jeya Bright Pankiraj
, Vishnuvarthanan Govindaraj, Yu-Dong Zhang, Pallikonda Rajasekaran Murugan, Kottaimalai Ramaraj, Paras Jain, Arunprasath Thiagarajan:
Development of scalable coding of encrypted images using Modified Absolute Moment Block Truncation Code. Signal Image Video Process. 18(5): 3973-3981 (2024)- [j29]R. Raja Subramanian, Vishnuvarthanan Govindaraj:
HARNet: design and evaluation of a deep genetic algorithm for recognizing yoga postures. Signal Image Video Process. 18(S1): S553-S564 (2024) - [j28]Gautam Amiya, Pallikonda Rajasekaran Murugan, Kottaimalai Ramaraj, Vishnuvarthanan Govindaraj, Muneeswaran Vasudevan, M. Thirumurugan, Yu-Dong Zhang, S. Sheik Abdullah, Arunprasath Thiyagarajan:
Expeditious detection and segmentation of bone mass variation in DEXA images using the hybrid GLCM-AlexNet approach. Soft Comput. 28(19): 11633-11646 (2024) - [j27]Saravanan Alagarsamy, Vishnuvarthanan Govindaraj, A. Shahina, Deivanayagampillai Nagarajan:
Intelligent Multigrade Brain Tumor Identification in MRI: A Metaheuristic-Based Uncertain Set Framework. IEEE Trans. Artif. Intell. 5(11): 5381-5391 (2024) - [j26]Gautam Amiya, Pallikonda Rajasekaran Murugan, Kottaimalai Ramaraj, Vishnuvarthanan Govindaraj, Muneeswaran Vasudevan, M. Thirumurugan, S. Sheik Abdullah, Arunprasath Thiyagarajan:
LMGU-NET: methodological intervention for prediction of bone health for clinical recommendations. J. Supercomput. 80(11): 15636-15663 (2024) - 2023
- [j25]A. V. Nisha, M. Pallikonda Rajasekaran, Kottaimalai Ramaraj, Vishnuvarthanan Govindaraj, Thiyagarajan Arunprasath, V. Muneeswaran:
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. 37(15): 2356025:1-2356025:33 (2023) - [j24]Yudong Zhang, Vishnuvarthanan Govindaraj, Ziquan Zhu:
FECNet: a Neural Network and a Mobile App for COVID-19 Recognition. Mob. Networks Appl. 28(5): 1877-1890 (2023) - [j23]Jeya Bright Pankiraj, Vishnuvarthanan Govindaraj, Yudong Zhang, Pallikonda Rajasekaran Murugan, Anisha Milton:
Development of scalable coding for the encryption and decryption of images using modified diagonal min-max block truncation code. Multim. Tools Appl. 82(8): 12263-12277 (2023) - [j22]Jeya Bright Pankiraj, Vishnuvarthanan Govindaraj, Yudong Zhang, Pallikonda Rajasekaran Murugan, Kottaimalai Ramaraj:
Development of scalable coding on encrypted images using BTC for different non-overlapping block size. Signal Image Video Process. 17(7): 3821-3828 (2023) - [j21]Saravanan Alagarsamy, Vishnuvarthanan Govindaraj, A. Senthilkumar:
Automated Brain Tumor Segmentation for MR Brain Images Using Artificial Bee Colony Combined With Interval Type-II Fuzzy Technique. IEEE Trans. Ind. Informatics 19(11): 11150-11159 (2023) - 2022
- [j20]Kottaimalai Ramaraj, Vishnuvarthanan Govindaraj, Yu-Dong Zhang, Pallikonda Rajasekaran Murugan, Shui-Hua Wang, Arunprasath Thiyagarajan, Sakthivel Sankaran:
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. 77: 103786 (2022) - [j19]Senthilkumar Natarajan, Vishnuvarthanan Govindaraj, Yudong Zhang, Pallikonda Rajasekaran Murugan, Kannapiran Balasubramanian, Karunanithi Kandasamy, Khurram Ejaz:
Minimally parametrized segmentation framework with dual metaheuristic optimisation algorithms and FCM for detection of anomalies in MR brain images. Biomed. Signal Process. Control. 78: 103866 (2022) - [j18]S. K. Rajeev, M. Pallikonda Rajasekaran, Vishnuvarthanan Govindaraj, Thiyagarajan Arunprasath:
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. 78: 103949 (2022) - [j17]Senthilkumar Natarajan, Vishnuvarthanan Govindaraj, Ravipudi Venkata Rao Narayana, Yu-Dong Zhang, Pallikonda Rajasekaran Murugan, Karunanithi Kandasamy, Khurram Ejaz:
A novel triple-level combinational framework for brain anomaly segmentation to augment clinical diagnosis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10(1): 96-111 (2022) - 2021
- [j16]Vigneshwaran Senthilvel, Vishnuvarthanan Govindaraj, Yu-Dong Zhang, Pallikonda Rajasekaran Murugan, Arun Prasath Thiyagarajan:
A smartly designed automated map based clustering algorithm for the enhanced diagnosis of pathologies in brain MR images. Expert Syst. J. Knowl. Eng. 38(2) (2021) - [j15]Shui-Hua Wang, Vishnu Varthanan Govindaraj, Juan Manuel Górriz, Xin Zhang, Yu-Dong Zhang:
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network. Inf. Fusion 67: 208-229 (2021) - [j14]Saravanan Alagarsamy, Yudong Zhang, Vishnuvarthanan Govindaraj, Rajasekaran Murugan Pallikonda, Sakthivel Sankaran:
Smart Identification of Topographically Variant Anomalies in Brain Magnetic Resonance Imaging Using a Fish School-Based Fuzzy Clustering Approach. IEEE Trans. Fuzzy Syst. 29(10): 3165-3177 (2021) - 2020
- [j13]Vishnuvarthanan Govindaraj, Arunprasath Thiyagarajan, M. Pallikonda Rajasekaran, Yudong Zhang, Rajesh Krishnasamy:
Automated unsupervised learning-based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI). IET Image Process. 14(14): 3516-3526 (2020) - [j12]Jingyuan Yang, Vishnuvarthanan Govindaraj, Ming Yang, Shuihua Wang:
Hearing loss detection by discrete wavelet transform and multi-layer perceptron trained by nature-inspired algorithms. Multim. Tools Appl. 79(21-22): 15717-15745 (2020)
2010 – 2019
- 2019
- [j11]Vigneshwaran Senthilvel, Vishnuvarthanan Govindaraj, Pallikonda Rajasekaran Murugan, Yudong Zhang, Thiyagarajan Arun Prasath:
Unsupervised learning-based clustering approach for smart identification of pathologies and segmentation of tissues in brain magnetic resonance imaging. Int. J. Imaging Syst. Technol. 29(4): 439-456 (2019) - [j10]Yu-Dong Zhang, Vishnu Varthanan Govindaraj, Chaosheng Tang, Weiguo Zhu, Junding Sun:
High Performance Multiple Sclerosis Classification by Data Augmentation and AlexNet Transfer Learning Model. J. Medical Imaging Health Informatics 9(9): 2012-2021 (2019) - 2018
- [j9]P. Rajesh Kumar, Thiyagarajan Arunprasath, Pallikonda Rajasekaran Murugan, Vishnuvarthanan Govindaraj:
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. 72: 283-295 (2018) - [j8]Anitha Vishnuvarthanan, M. Pallikonda Rajasekaran, Vishnuvarthanan Govindaraj, Yudong Zhang, Arunprasath Thiyagarajan:
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. 95: 280-311 (2018) - [j7]Yudong Zhang, Guihu Zhao, Junding Sun, Xiaosheng Wu, Zhiheng Wang, Hongmin Liu, Vishnuvarthanan Govindaraj, Tianming Zhan, Jianwu Li:
Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm. Multim. Tools Appl. 77(17): 22629-22648 (2018) - [j6]Fanqiang Kong, Vishnuvarthanan Govindaraj, Yudong Zhang:
Ridge-based curvilinear structure detection for identifying road in remote sensing image and backbone in neuron dendrite image. Multim. Tools Appl. 77(17): 22857-22873 (2018) - 2017
- [j5]Anitha Vishnuvarthanan, M. Pallikonda Rajasekaran, Vishnuvarthanan Govindaraj, Yudong Zhang, Arunprasath Thiyagarajan:
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. 57: 399-426 (2017) - [j4]Vishnuvarthanan Govindaraj, Pallikonda Rajasekaran Murugan, Anitha Vishnuvarthanan, Thiyagarajan Arun Prasath, M. Kannan:
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. 27(1): 33-45 (2017) - [j3]Saravanan Alagarsamy, Kartheeban Kamatchi, Vishnuvarthanan Govindaraj, Arunprasath Thiyagarajan:
A fully automated hybrid methodology using Cuckoo-based fuzzy clustering technique for magnetic resonance brain image segmentation. Int. J. Imaging Syst. Technol. 27(4): 317-332 (2017) - 2016
- [j2]Vishnuvarthanan Govindaraj, Pallikonda Rajasekaran Murugan, P. Subbaraj, Anitha Vishnuvarthanan:
An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images. Appl. Soft Comput. 38: 190-212 (2016) - 2014
- [j1]Vishnuvarthanan Govindaraj, Pallikonda Rajasekaran Murugan:
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. 24(4): 313-325 (2014)
Coauthor Index
aka: Arunprasath Thiyagarajan
aka: Thiyagarajan Arun Prasath
aka: Arun Prasath Thiyagarajan
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