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. - Vishnuvarthanan Govindaraj; Pallikonda Rajasekaran Murugan (Int. J. Imaging Syst. Technol., 2014)

An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images. - Vishnuvarthanan Govindaraj; Pallikonda Rajasekaran Murugan; P. Subbaraj; Anitha Vishnuvarthanan (Appl. Soft Comput., 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)

Ridge-based curvilinear structure detection for identifying road in remote sensing image and backbone in neuron dendrite image. - Fanqiang Kong; Vishnuvarthanan Govindaraj; Yudong Zhang 001 (Multim. Tools Appl., 2018)

Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm. - Yudong Zhang 001; Guihu Zhao; Junding Sun; Xiaosheng Wu; Zhiheng Wang 001; Hongmin Liu 001; Vishnuvarthanan Govindaraj; Tianming Zhan; Jianwu Li (Multim. Tools Appl., 2018)

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)

High Performance Multiple Sclerosis Classification by Data Augmentation and AlexNet Transfer Learning Model. - Yu-Dong Zhang 001; Vishnu Varthanan Govindaraj; Chaosheng Tang; Weiguo Zhu; Junding Sun (J. Medical Imaging Health Informatics, 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)

Hearing loss detection by discrete wavelet transform and multi-layer perceptron trained by nature-inspired algorithms. - Jingyuan Yang 005; Vishnuvarthanan Govindaraj; Ming Yang 011; Shuihua Wang (Multim. Tools Appl., 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)

Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network. - Shui-Hua Wang; Vishnu Varthanan Govindaraj; Juan Manuel Górriz; Xin Zhang 071; Yu-Dong Zhang 001 (Inf. Fusion, 2021)

Smart Identification of Topographically Variant Anomalies in Brain Magnetic Resonance Imaging Using a Fish School-Based Fuzzy Clustering Approach. - Saravanan Alagarsamy; Yudong Zhang 001; Vishnuvarthanan Govindaraj; Rajasekaran Murugan Pallikonda; Sakthivel Sankaran (IEEE Trans. Fuzzy Syst., 2021)

Minimally parametrized segmentation framework with dual metaheuristic optimisation algorithms and FCM for detection of anomalies in MR brain images. - Senthilkumar Natarajan; Vishnuvarthanan Govindaraj; Yudong Zhang 001; Pallikonda Rajasekaran Murugan; Kannapiran Balasubramanian; Karunanithi Kandasamy; Khurram Ejaz (Biomed. Signal Process. Control., 2022)

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)

A novel triple-level combinational framework for brain anomaly segmentation to augment clinical diagnosis. - Senthilkumar Natarajan; Vishnuvarthanan Govindaraj; Ravipudi Venkata Rao Narayana; Yu-Dong Zhang 001; Pallikonda Rajasekaran Murugan; Karunanithi Kandasamy; Khurram Ejaz (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Development of scalable coding for the encryption and decryption of images using modified diagonal min-max block truncation code. - Jeya Bright Pankiraj; Vishnuvarthanan Govindaraj; Yudong Zhang 001; Pallikonda Rajasekaran Murugan; Anisha Milton (Multim. Tools Appl., 2023)

FECNet: a Neural Network and a Mobile App for COVID-19 Recognition. - Yudong Zhang 001; Vishnuvarthanan Govindaraj; Ziquan Zhu (Mob. Networks Appl., 2023)

Development of scalable coding on encrypted images using BTC for different non-overlapping block size. - Jeya Bright Pankiraj; Vishnuvarthanan Govindaraj; Yudong Zhang 001; Pallikonda Rajasekaran Murugan; Kottaimalai Ramaraj (Signal Image Video Process., 2023)

Automated Brain Tumor Segmentation for MR Brain Images Using Artificial Bee Colony Combined With Interval Type-II Fuzzy Technique. - Saravanan Alagarsamy; Vishnuvarthanan Govindaraj; A. Senthilkumar (IEEE Trans. Ind. Informatics, 2023)

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)

HARNet: design and evaluation of a deep genetic algorithm for recognizing yoga postures. - R. Raja Subramanian; Vishnuvarthanan Govindaraj (Signal Image Video Process., 2024)

Development of scalable coding of encrypted images using Modified Absolute Moment Block Truncation Code. - Jeya Bright Pankiraj; Vishnuvarthanan Govindaraj; Yu-Dong Zhang 001; Pallikonda Rajasekaran Murugan; Kottaimalai Ramaraj; Paras Jain 005; Arunprasath Thiagarajan (Signal Image Video Process., 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)

Intelligent Multigrade Brain Tumor Identification in MRI: A Metaheuristic-Based Uncertain Set Framework. - Saravanan Alagarsamy; Vishnuvarthanan Govindaraj; A. Shahina; Deivanayagampillai Nagarajan (IEEE Trans. Artif. Intell., 2024)

SGS: SqueezeNet-guided Gaussian-kernel SVM for COVID-19 Diagnosis. - Fanfeng Shi; Jiaji Wang; Vishnuvarthanan Govindaraj (Mob. Networks Appl., 2024)

Fuzzy-Based Optimization Techniques for Segmenting the Tumors in Multimodal MRI Images. - Saravanan Alagarsamy; Deivanayagampillai Nagarajan; Vishnuvarthanan Govindaraj (Oper. Res. Forum, 2025)