default search action
Pallikonda 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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j37]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) - [j36]Jeya Bright Pankiraj
Development of scalable coding of encrypted images using Modified Absolute Moment Block Truncation Code. Signal Image Video Process. 18(5): 3973-3981 (2024) - [j35]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) - [j34]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
- [j33]A. V. Nisha
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
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
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
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
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
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
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
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
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
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
Automatic knee joint segmentation using Douglas-Rachford splitting method. Multim. Tools Appl. 79(9-10): 6599-6621 (2020)
2010 – 2019
- 2019
- [j19]Junwei Li
Brain Computer Interface for Neurodegenerative Person Using Electroencephalogram. IEEE Access 7: 2439-2452 (2019) - [j18]M. Thilagaraj
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
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
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
An empirical mode decomposition (EMD)-based scheme for alcoholism identification. Pattern Recognit. Lett. 125: 133-139 (2019) - [j14]V. Muneeswaran
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
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
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
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
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
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
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
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) - [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
Efficient Hybrid Approach for Compression of Multi Modal Medical Images. ICTCSDM 2016: 251-261 - 2015
- [j6]Thiyagarajan Arunprasath, Pallikonda Rajasekaran Murugan
ANFIS-EM approach for PET brain image reconstruction. Int. J. Imaging Syst. Technol. 25(1): 1-6 (2015) - [j5]Balasubramani Perumal
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
PET image reconstruction using ANN. Int. J. Imaging Syst. Technol. 24(3): 249-255 (2014) - [j3]Vishnuvarthanan Govindaraj
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
Sensor grid applications in patient monitoring. Future Gener. Comput. Syst. 26(4): 569-575 (2010)
Coauthor Index
aka: Arunprasath Thiyagarajan
aka: Thiyagarajan Arun Prasath
aka: Arun Prasath Thiyagarajan
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-06 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: