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ORCIDPallikonda Rajasekaran Murugan
Person information
- affiliation: Kalasalingam Academy of Research and Education, School of Electronics and Electrical Technology, Krishnankoil, India
- affiliation: Kalasalingam University, Department of Electronics and Communication Engineering, Krishnankoil, India
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Journal Articles
- 2024
[j35]Baiju Karun
, Thiyagarajan Arun Prasath, M. Pallikonda Rajasekaran, Rakhee Makreri:
Glioma detection using EHO based FLAME clustering in MR brain images. Int. J. Imaging Syst. Technol. 34(1) (2024)- [j34]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) - 2023
- [j33]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) - [j32]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) - [j31]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) - 2022
- [j30]R. Sindhiya Devi, Balasubramani Perumal, M. Pallikonda Rajasekaran:
A hybrid deep learning based brain tumor classification and segmentation by stationary wavelet packet transform and adaptive kernel fuzzy c means clustering. Adv. Eng. Softw. 170: 103146 (2022) - [j29]M. Ramkumar, A. Lakshmi, M. Pallikonda Rajasekaran, A. Manjunathan:
Multiscale Laplacian graph kernel features combined with tree deep convolutional neural network for the detection of ECG arrhythmia. Biomed. Signal Process. Control. 76: 103639 (2022) - [j28]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) - [j27]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) - [j26]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) - [j25]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) - [j24]R. Sindhiya Devi, Balasubramani Perumal, M. Pallikonda Rajasekaran:
A robust hybrid fusion segmentation approach for automated tumor diagnosis and classification in brain MR images. J. Intell. Fuzzy Syst. 42(6): 6063-6078 (2022) - 2021
- [j23]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) - [j22]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
- [j21]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) - [j20]C. Rini, Balasubramani Perumal, Pallikonda Rajasekaran Murugan:
Automatic knee joint segmentation using Douglas-Rachford splitting method. Multim. Tools Appl. 79(9-10): 6599-6621 (2020) - 2019
- [j19]Junwei Li, S. Ramkumar, G. Emayavaramban, D. Franklin Vinod, M. Thilagaraj, V. Muneeswaran, M. Pallikonda Rajasekaran, V. Venkataraman, Ahmed Faeq Hussein:
Brain Computer Interface for Neurodegenerative Person Using Electroencephalogram. IEEE Access 7: 2439-2452 (2019) - [j18]M. Thilagaraj, M. Pallikonda Rajasekaran, N. Arun Kumar:
Tsallis entropy: as a new single feature with the least computation time for classification of epileptic seizures. Clust. Comput. 22(6): 15213-15221 (2019) - [j17]Aruna Devi Balasubramanian, Pallikonda Rajasekaran Murugan, Arun Prasath Thiyagarajan:
Analysis and classification of malignancy in pancreatic magnetic resonance images using neural network techniques. Int. J. Imaging Syst. Technol. 29(4): 399-418 (2019) - [j16]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) - [j15]M. Thilagaraj, M. Pallikonda Rajasekaran:
An empirical mode decomposition (EMD)-based scheme for alcoholism identification. Pattern Recognit. Lett. 125: 133-139 (2019) - [j14]V. Muneeswaran, M. Pallikonda Rajasekaran:
Automatic segmentation of gallbladder using bio-inspired algorithm based on a spider web construction model. J. Supercomput. 75(6): 3158-3183 (2019) - 2018
- [j13]Gu Jialu, S. Ramkumar, G. Emayavaramban, M. Thilagaraj, V. Muneeswaran, M. Pallikonda Rajasekaran, Ahmed Faeq Hussein:
Offline Analysis for Designing Electrooculogram Based Human Computer Interface Control for Paralyzed Patients. IEEE Access 6: 79151-79161 (2018) - [j12]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) - [j11]N. Pothirasan, M. Pallikonda Rajasekaran, V. Muneeswaran:
Real time reactive power compensation for battery/photovoltaic hybrid power source for internet of hybrid electric vehicle system. Cogn. Syst. Res. 52: 473-488 (2018) - [j10]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) - 2017
- [j9]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) - [j8]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) - 2016
- [j7]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) - 2015
- [j6]Thiyagarajan Arunprasath, Pallikonda Rajasekaran Murugan, Kannan Subramanian:
ANFIS-EM approach for PET brain image reconstruction. Int. J. Imaging Syst. Technol. 25(1): 1-6 (2015) - [j5]Balasubramani Perumal, Pallikonda Rajasekaran Murugan:
Efficient image compression techniques for compressing multimodal medical images using neural network radial basis function approach. Int. J. Imaging Syst. Technol. 25(2): 115-122 (2015) - 2014
- [j4]Thiyagarajan Arunprasath, Rajasekaran Murugan Pallikonda, Subramanian Kannan:
PET image reconstruction using ANN. Int. J. Imaging Syst. Technol. 24(3): 249-255 (2014) - [j3]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) - 2013
- [j2]S. Suma Christal Mary, M. Pallikonda Rajasekaran, Y. ChrisbinJeeva:
A Novel Approach for Information Security in Ad Hoc Networks through Secure Key Management. J. Comput. Sci. 9(11): 1556-1565 (2013) - 2010
- [j1]Pallikonda Rajasekaran Murugan, S. Radhakrishnan, P. Subbaraj:
Sensor grid applications in patient monitoring. Future Gener. Comput. Syst. 26(4): 569-575 (2010)
Conference and Workshop Papers
- 2016
- [c2]V. Muneeswaran, M. Pallikonda Rajasekaran:
Analysis of Particle Swarm Optimization Based 2D FIR Filter for Reduction of Additive and Multiplicative Noise in Images. ICTCSDM 2016: 165-174 - [c1]Balasubramani Perumal, M. Pallikonda Rajasekaran, Thiyagarajan Arun Prasath:
Efficient Hybrid Approach for Compression of Multi Modal Medical Images. ICTCSDM 2016: 251-261
Coauthor Index
aka: Arunprasath Thiyagarajan
aka: Thiyagarajan Arun Prasath
aka: Arun Prasath Thiyagarajan
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last updated on 2024-06-07 21:22 CEST by the dblp team
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