PET image reconstruction using ANN. - Thiyagarajan Arunprasath; Rajasekaran Murugan Pallikonda; Subramanian Kannan (Int. J. Imaging Syst. Technol., 2014)

ANFIS-EM approach for PET brain image reconstruction. - Thiyagarajan Arunprasath; Pallikonda Rajasekaran Murugan; Kannan Subramanian (Int. J. Imaging Syst. Technol., 2015)

Efficient Hybrid Approach for Compression of Multi Modal Medical Images. - Balasubramani Perumal; M. Pallikonda Rajasekaran; Thiyagarajan Arun Prasath (ICTCSDM, 2016)

An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images. - Anitha Vishnuvarthanan; M. Pallikonda Rajasekaran; Vishnuvarthanan Govindaraj; Yudong Zhang 001; Arunprasath Thiyagarajan (Appl. Soft Comput., 2017)

A fully automated hybrid methodology using Cuckoo-based fuzzy clustering technique for magnetic resonance brain image segmentation. - Saravanan Alagarsamy; Kartheeban Kamatchi; Vishnuvarthanan Govindaraj; Arunprasath Thiyagarajan (Int. J. Imaging Syst. Technol., 2017)

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. - Vishnuvarthanan Govindaraj; Pallikonda Rajasekaran Murugan; Anitha Vishnuvarthanan; Thiyagarajan Arun Prasath; M. Kannan (Int. J. Imaging Syst. Technol., 2017)

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. - P. Rajesh Kumar; Thiyagarajan Arunprasath; Pallikonda Rajasekaran Murugan; Vishnuvarthanan Govindaraj (Comput. Electr. Eng., 2018)

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. - Anitha Vishnuvarthanan; M. Pallikonda Rajasekaran; Vishnuvarthanan Govindaraj; Yudong Zhang 001; Arunprasath Thiyagarajan (Expert Syst. Appl., 2018)

Analysis and classification of malignancy in pancreatic magnetic resonance images using neural network techniques. - Aruna Devi Balasubramanian; Pallikonda Rajasekaran Murugan; Arun Prasath Thiyagarajan (Int. J. Imaging Syst. Technol., 2019)

Unsupervised learning-based clustering approach for smart identification of pathologies and segmentation of tissues in brain magnetic resonance imaging. - Vigneshwaran Senthilvel; Vishnuvarthanan Govindaraj; Pallikonda Rajasekaran Murugan; Yudong Zhang 001; Thiyagarajan Arun Prasath (Int. J. Imaging Syst. Technol., 2019)

Automated unsupervised learning-based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI). - Vishnuvarthanan Govindaraj; Arunprasath Thiyagarajan; M. Pallikonda Rajasekaran; Yudong Zhang 001; Rajesh Krishnasamy (IET Image Process., 2020)

A smartly designed automated map based clustering algorithm for the enhanced diagnosis of pathologies in brain MR images. - Vigneshwaran Senthilvel; Vishnuvarthanan Govindaraj; Yu-Dong Zhang 001; Pallikonda Rajasekaran Murugan; Arun Prasath Thiyagarajan (Expert Syst. J. Knowl. Eng., 2021)

A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network. - S. K. Rajeev; M. Pallikonda Rajasekaran; Vishnuvarthanan Govindaraj; Thiyagarajan Arunprasath (Biomed. Signal Process. Control., 2022)

Agnostic multimodal brain anomalies detection using a novel single-structured framework for better patient diagnosis and therapeutic planning in clinical oncology. - Kottaimalai Ramaraj; Vishnuvarthanan Govindaraj; Yu-Dong Zhang 001; Pallikonda Rajasekaran Murugan; Shui-Hua Wang; Arunprasath Thiyagarajan; Sakthivel Sankaran (Biomed. Signal Process. Control., 2022)

Hybrid D-OCapNet: Automated Multi-Class Alzheimer's Disease Classification in Brain MRI Using Hybrid Dense Optimal Capsule Network. - A. V. Nisha; M. Pallikonda Rajasekaran; Kottaimalai Ramaraj; Vishnuvarthanan Govindaraj; Thiyagarajan Arunprasath; V. Muneeswaran (Int. J. Pattern Recognit. Artif. Intell., 2023)

Glioma detection using EHO based FLAME clustering in MR brain images. - Baiju Karun; Thiyagarajan Arun Prasath; M. Pallikonda Rajasekaran; Rakhee Makreri (Int. J. Imaging Syst. Technol., 2024)

Crossover smell agent optimized multilayer perceptron for precise brain tumor classification on MRI images. - Muthuvel Arumugam; Arunprasath Thiyagarajan; Lakshmi Adhi; Shyamala Alagar (Expert Syst. Appl., 2024)

LMGU-NET: methodological intervention for prediction of bone health for clinical recommendations. - Gautam Amiya; Pallikonda Rajasekaran Murugan; Kottaimalai Ramaraj; Vishnuvarthanan Govindaraj; Muneeswaran Vasudevan; M. Thirumurugan; S. Sheik Abdullah; Arunprasath Thiyagarajan (J. Supercomput., 2024)

Expeditious detection and segmentation of bone mass variation in DEXA images using the hybrid GLCM-AlexNet approach. - Gautam Amiya; Pallikonda Rajasekaran Murugan; Kottaimalai Ramaraj; Vishnuvarthanan Govindaraj; Muneeswaran Vasudevan; M. Thirumurugan; Yu-Dong Zhang 001; S. Sheik Abdullah; Arunprasath Thiyagarajan (Soft Comput., 2024)