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Venkatesan Rajinikanth

Venkatesan Rajinikanth

D-Index & Metrics

Computer Science

D-Index
46
Citations
7646
World Ranking
6904
National Ranking
70

Overview

Venkatesan Rajinikanth is affiliated with Saveetha University in India. Their research spans Medicine, Computer Science, and Engineering, with a significant focus on subfields such as Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, and Media Technology.

Their work covers a range of topics, including:

  • COVID-19 diagnosis using AI
  • AI in cancer detection
  • Brain Tumor Detection and Classification
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications
  • Digital Imaging for Blood Diseases
  • Medical Image Segmentation Techniques

Among recent publications authored or co-authored by Venkatesan Rajinikanth are:

  • "Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices," 2020, Applied Intelligence
  • "Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays," 2021, Pattern Recognition Letters
  • "Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection," 2020, IEEE Access
  • "A Customized VGG19 Network with Concatenation of Deep and Handcrafted Features for Brain Tumor Detection," 2020, Applied Sciences
  • "VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images," 2021, Diagnostics

Frequent collaborators include:

  • Seifedine Kadry
  • Nilanjan Dey
  • Rubén González Crespo
  • N. Sri Madhava Raja
  • Suresh Chandra Satapathy

Their publications are commonly found in venues such as:

  • Procedia Computer Science
  • 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)
  • AIP conference proceedings
  • 2020 International Conference on System, Computation, Automation and Networking (ICSCAN)
  • arXiv (Cornell University)

Best Publications

  • Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images

    Abhir Bhandary;G. Ananth Prabhu;V. Rajinikanth;K. Palani Thanaraj

  • Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

    Sakshi Ahuja;Bijaya Ketan Panigrahi;Nilanjan Dey;Venkatesan Rajinikanth

  • Automated Detection of Alzheimer’s Disease Using Brain MRI Images– A Study with Various Feature Extraction Techniques

    U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya;Steven Lawrence Fernandes;Joel En WeiKoh;Edward J. Ciaccio

  • Entropy based segmentation of tumor from brain MR images a study with teaching learning based optimization

    V. Rajinikanth;Suresh Chandra Satapathy;Steven Lawrence Fernandes;S. Nachiappan

  • Multi-level image thresholding using Otsu and chaotic bat algorithm

    Suresh Chandra Satapathy;N. Sri Madhava Raja;V. Rajinikanth;Amira S. Ashour

  • Automated detection of schizophrenia using nonlinear signal processing methods.

    V. Jahmunah;Shu Lih Oh;V. Rajinikanth;Edward J. Ciaccio

  • Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays

    Nilanjan Dey;Yu-Dong Zhang;V. Rajinikanth;R. Pugalenthi

  • Otsu based optimal multilevel image thresholding using firefly algorithm

    N. Sri Madhava Raja;V. Rajinikanth;K. Latha

  • Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation

    N. Sri Madhava Raja;S. L. Fernandes;Nilanjan Dey;Suresh Chandra Satapathy

  • Social Group Optimization Supported Segmentation and Evaluation of Skin Melanoma Images

    Nilanjan Dey;Venkatesan Rajinikanth;Amira S. Ashour;João Manuel R. S. Tavares

  • RGB Histogram Based Color Image Segmentation Using Firefly Algorithm

    V. Rajinikanth;M.S. Couceiro

  • Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection

    Muhammad Attique Khan;Seifedine Nimer Kadry;Majed Alhaisoni;Yunyoung Nam

  • A customized VGG19 network with concatenation of deep and handcrafted features for brain tumor detection

    Venkatesan Rajinikanth;Alex Noel Joseph Raj;Krishnan Palani Thanaraj;Ganesh R. Naik

  • Segmentation of Ischemic Stroke Lesion in Brain MRI Based on Social Group Optimization and Fuzzy-Tsallis Entropy

    V. Rajinikanth;Suresh Chandra Satapathy

  • VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images

    Muhammad Attique Khan;Venkatesan Rajinikanth;Suresh Chandra Satapathy;David Taniar

  • Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images.

    V. Rajinikanth;Nilanjan Dey;Alex Noel Joseph Raj;Aboul Ella Hassanien

  • Social Group Optimization-Assisted Kapur's Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images.

    Nilanjan Dey;V. Rajinikanth;Simon James Fong;Simon James Fong;M. Shamim Kaiser

  • A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians

    Steven Lawrence Fernandes;U. John Tanik;V. Rajinikanth;K. Arvind Karthik

  • Firefly Algorithm Assisted Segmentation of Tumor from Brain MRI using Tsallis Function and Markov Random Field

    V Rajinikanth;N Sri Madhava Raja;K Kamalanand

  • Segmentation and Analysis of Brain Tumor Using Tsallis Entropy and Regularised Level Set

    V. Rajinikanth;Steven Lawrence Fernandes;Bharath Bhushan;Harisha

Frequent Co-Authors

Nilanjan Dey
Nilanjan Dey Techno International New Town
Seifedine Kadry
Seifedine Kadry Lebanese American University
U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Steven Lawrence Fernandes
Steven Lawrence Fernandes Karunya University
David Taniar
David Taniar Monash University
Amira S. Ashour
Amira S. Ashour Tanta University
João Manuel R. S. Tavares
João Manuel R. S. Tavares University of Porto
Yudong Zhang
Yudong Zhang University of Leicester
Yunyoung Nam
Yunyoung Nam Soonchunhyang University

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