Pallikonda Rajasekaran Murugan

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 14

Top Topics

Unsupervised Learning

Joint Segmentation

Top Venues

Int. J. Imaging Syst. Technol.

Biomed. Signal Process. Control.

Multim. Tools Appl.

Signal Image Video Process.

Publications

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) (2024)
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) (2024)
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) (2023)
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) (2023)
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) (2022)
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 (2022)
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 (2022)
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)
C. Rini, Balasubramani Perumal, Pallikonda Rajasekaran Murugan
Automatic knee joint segmentation using Douglas-Rachford splitting method. Multim. Tools Appl. 79 (9-10) (2020)
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) (2019)
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) (2019)
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 (2018)
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) (2017)
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 (2016)
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) (2015)
Thiyagarajan Arunprasath, Pallikonda Rajasekaran Murugan, Kannan Subramanian
ANFIS-EM approach for PET brain image reconstruction. Int. J. Imaging Syst. Technol. 25 (1) (2015)
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) (2014)
Pallikonda Rajasekaran Murugan, S. Radhakrishnan, P. Subbaraj
Sensor grid applications in patient monitoring. Future Gener. Comput. Syst. 26 (4) (2010)