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ORCIDVenkatesan Rajinikanth
V. Rajinikanth – Rajinikanth Venkatesan
Person information
- affiliation: St. Joseph's College of Engineering, Chennai, India
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2020 – today
- 2024
[j44]Joel Koh En Wei, Venkatesan Rajinikanth
, Jahmunah Vicnesh, The-Hanh Pham, Shu Lih Oh, Chai Hong Yeong, Meena Sankaranarayanan, Aditya P. Kamath, Giliyar Muralidhar Bairy, Prabal Datta Barua, Kang Hao Cheong:
Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals. Expert Syst. J. Knowl. Eng. 41(5) (2024)- [j43]Kusum Yadav, Kawther A. Al-Dhlan, Hamad Alreshidi, Gaurav Dhiman, Wattana Viriyasitavat, Abdullah Zaid Almankory, Kadiyala Ramana, S. Vimal, Venkatesan Rajinikanth:
A novel coarse-to-fine computational method for three-dimensional landmark detection to perform hard-tissue cephalometric analysis. Expert Syst. J. Knowl. Eng. 41(6) (2024) - [j42]M. Akshay Kumaar, Duraimurugan Samiayya, Venkatesan Rajinikanth, P. M. Durai Raj Vincent, Seifedine Kadry:
Brain Tumor Classification Using a Pre-Trained Auxiliary Classifying Style-Based Generative Adversarial Network. Int. J. Interact. Multim. Artif. Intell. 8(6): 101 (2024) - [j41]Nadaradjane Sri Madhava Raja, Steven Lawrence Fernandes, Nilanjan Dey, Suresh Chandra Satapathy, V. Rajinikanth:
Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation. J. Ambient Intell. Humaniz. Comput. 15(1): 961-972 (2024) - [j40]Seifedine Nimer Kadry, V. Elizabeth Jessy, Venkatesan Rajinikanth, Rubén González Crespo:
Correction: Automatic classification of normal/AD brain MRI slices using whale-algorithm optimized hybrid image features. J. Ambient Intell. Humaniz. Comput. 15(4): 2655 (2024) - 2023
- [j39]Venkatesan Rajinikanth, Seifedine Kadry, Pablo Moreno-Ger:
ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features. Int. J. Interact. Multim. Artif. Intell. 8(2): 38 (2023) - [j38]Anjan Gudigar, U. Raghavendra, Tejaswi N. Rao, Jyothi Samanth, Venkatesan Rajinikanth, Suresh Chandra Satapathy, Edward J. Ciaccio, Wai-Yee Chan, U. Rajendra Acharya:
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas. Int. J. Imaging Syst. Technol. 33(2): 483-494 (2023) - [j37]V. Rajinikanth, Seifedine Kadry, David Taniar, Krishnamurthy Kamalanand, Mohamed Abd Elaziz, K. Palani Thanaraj:
Detecting epilepsy in EEG signals using synchro-extracting-transform (SET) supported classification technique. J. Ambient Intell. Humaniz. Comput. 14(8): 10123-10141 (2023) - [j36]Seifedine Kadry, V. Elizabeth Jessy, Venkatesan Rajinikanth, Rubén González Crespo:
Automatic classification of normal/AD brain MRI slices using whale-algorithm optimized hybrid image features. J. Ambient Intell. Humaniz. Comput. 14(10): 14237-14248 (2023) - [j35]K. Suresh Manic, Venkatesan Rajinikanth, Ali Saud Al-Bimani, David Taniar, Seifedine Kadry:
Framework to Detect Schizophrenia in Brain MRI Slices with Mayfly Algorithm-Selected Deep and Handcrafted Features. Sensors 23(1): 280 (2023) - [c19]Marriam Nawaz, Tahira Nazir, Muhammad Attique Khan, Venkatesan Rajinikanth, Seifedine Nimer Kadry:
Plant Disease Classification Using VGG-19 Based Faster-RCNN. ICACDS 2023: 277-289 - [c18]Marriam Nawaz, Ali Javed, Tahira Nazir, Muhammad Attique Khan, Venkatesan Rajinikanth, Seifedine Nimer Kadry:
Classification of Real and Deepfakes Visual Samples with Pre-trained Deep Learning Models. ICACDS 2023: 290-303 - [c17]Seifedine Kadry, Mohammed Azmi Al-Betar, Sahar Yassine, Ramya Mohan, Rama Arunmozhi, Venkatesan Rajinikanth:
Automatic Detection of Waterbodies from Satellite Images Using DeepLabV3+. MIKE 2023: 78-86 - [c16]Seifedine Kadry, Mohammed Azmi Al-Betar, Sahar Yassine, Ramya Mohan, Rama Arunmozhi, Venkatesan Rajinikanth:
Efficient Chest X-Ray Investigation Using Firefly Algorithm Optimized Deep and Handcrafted Features. MIKE 2023: 225-236 - 2022
- [j34]K. Vijayakumar, V. Rajinikanth:
Special issue on "intelligent computing and communication in concurrent engineering". Concurr. Eng. Res. Appl. 30(1): 128-130 (2022) - [j33]Zaid Abdi Alkareem Alyasseri, Osama Ahmad Alomari, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Seifedine Kadry, V. Rajinikanth, Seungmin Rho:
EEG Channel Selection Using Multiobjective Cuckoo Search for Person Identification as Protection System in Healthcare Applications. Comput. Intell. Neurosci. 2022: 5974634:1-5974634:18 (2022) - [j32]R. Nandhini Abirami, P. M. Durai Raj Vincent, Venkatesan Rajinikanth, Seifedine Kadry:
COVID-19 Classification Using Medical Image Synthesis by Generative Adversarial Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 30(3): 385-401 (2022) - [j31]U. Raghavendra, Anjan Gudigar, Tejaswi N. Rao, V. Rajinikanth, Edward J. Ciaccio, Chai Hong Yeong, Suresh Chandra Satapathy, Filippo Molinari, U. Rajendra Acharya:
Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study. Int. J. Imaging Syst. Technol. 32(2): 501-516 (2022) - [j30]Seifedine Kadry, Venkatesan Rajinikanth, David Taniar, Robertas Damasevicius, Xiomara Patricia Blanco-Valencia:
Automated segmentation of leukocyte from hematological images - a study using various CNN schemes. J. Supercomput. 78(5): 6974-6994 (2022) - [j29]Seifedine Kadry, V. Rajinikanth, Rubén González Crespo, Elena Verdú:
Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme. J. Supercomput. 78(5): 7321-7340 (2022) - 2021
- [j28]Sakshi Ahuja, Bijaya Ketan Panigrahi, Nilanjan Dey, Venkatesan Rajinikanth, Tapan Kumar Gandhi:
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices. Appl. Intell. 51(1): 571-585 (2021) - [j27]Liu Wei, Su Xiao Pan, Yaser Ahangari Nanehkaran, V. Rajinikanth:
An Optimized Method for Skin Cancer Diagnosis Using Modified Thermal Exchange Optimization Algorithm. Comput. Math. Methods Medicine 2021: 5527698:1-5527698:11 (2021) - [j26]Bakiya Ambikapathy, Kamalanand Kirshnamurthy, Rajinikanth Venkatesan:
Assessment of electromyograms using genetic algorithm and artificial neural networks. Evol. Intell. 14(2): 261-271 (2021) - [j25]Seifedine Nimer Kadry, V. Rajinikanth, Nadaradjane Sri Madhava Raja, D. Jude Hemanth, Naeem M. S. Hannon, Alex Noel Joseph Raj:
Evaluation of brain tumor using brain MRI with modified-moth-flame algorithm and Kapur's thresholding: a study. Evol. Intell. 14(2): 1053-1063 (2021) - [j24]D. Jude Hemanth, V. Rajinikanth, Vaddi Seshagiri Rao, Samaresh Mishra, Naeem M. S. Hannon, Rajangam Vijayarajan, S. Arunmozhi:
Image fusion practice to improve the ischemic-stroke-lesion detection for efficient clinical decision making. Evol. Intell. 14(2): 1089-1099 (2021) - [j23]V. Rajinikanth, R. Sivakumar, D. Jude Hemanth, Seifedine Nimer Kadry, Jnyana Ranjan Mohanty, S. Arunmozhi, Nadaradjane Sri Madhava Raja, Gia Nhu Nguyen:
Automated classification of retinal images into AMD/non-AMD Class - a study using multi-threshold and Gassian-filter enhanced images. Evol. Intell. 14(2): 1163-1171 (2021) - [j22]V. Rajinikanth, Seifedine Kadry, Rubén González Crespo, Elena Verdú:
A Study on RGB Image Multi-Thresholding using Kapur/Tsallis Entropy and Moth-Flame Algorithm. Int. J. Interact. Multim. Artif. Intell. 7(2): 163 (2021) - [j21]Venkatesan Rajinikanth, Seifedine Nimer Kadry, Yunyoung Nam:
Convolutional-Neural-Network Assisted Segmentation and SVM Classification of Brain Tumor in Clinical MRI Slices. Inf. Technol. Control. 50(2): 342-356 (2021) - [j20]Venkatesan Rajinikanth, Seifedine Nimer Kadry:
Development of a Framework for Preserving the Disease-Evidence-Information to Support Efficient Disease Diagnosis. Int. J. Data Warehous. Min. 17(2): 63-84 (2021) - [j19]Nilanjan Dey, Yudong Zhang, V. Rajinikanth, R. Pugalenthi, Nadaradjane Sri Madhava Raja:
Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays. Pattern Recognit. Lett. 143: 67-74 (2021) - [j18]Venkatesan Rajinikanth, Shabnam Mohamed Aslam, Seifedine Nimer Kadry:
Deep Learning Framework to Detect Ischemic Stroke Lesion in Brain MRI Slices of Flair/DW/T1 Modalities. Symmetry 13(11): 2080 (2021) - [c15]Seifedine Kadry, Venkatesan Rajinikanth, A. Chandrasekar, R. Nandhini Abirami:
Tuberculosis Detection from Chest Radiographs with Pre-trained Deep Learning Scheme: A Study. ICCTA 2021: 172-175 - [c14]Seifedine Kadry, Venkatesan Rajinikanth, Susmitha Dasari, T. Suvathi:
Automatic Detection of Breast Cancer in Thermal Images using Optimal Handcrafted Features. ICCTA 2021: 206-210 - [c13]Seifedine Kadry, Venkatesan Rajinikanth, Jiny Mariam Jerry, R. Carolin Gifta:
Detection of Diabetic Macular Edema in Retinal OCT Images with Firefly-Algorithm Selected Features. ICCTA 2021: 211-214 - [c12]Seifedine Nimer Kadry, David Taniar, Maytham N. Meqdad, Gautam Srivastava, Venkatesan Rajinikanth:
Assessment of Brain Tumor in Flair MRI Slice with Joint Thresholding and Segmentation. MIKE 2021: 47-56 - [c11]Seifedine Nimer Kadry, Venkatesan Rajinikanth, Gautam Srivastava, Maytham N. Meqdad:
Mayfly-Algorithm Selected Features for Classification of Breast Histology Images into Benign/Malignant Class. MIKE 2021: 57-66 - 2020
- [j17]Muhammad Attique Khan, Seifedine Nimer Kadry, Majed Alhaisoni, Yunyoung Nam, Yudong Zhang, Venkatesan Rajinikanth, Muhammad Shahzad Sarfraz:
Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection. IEEE Access 8: 132850-132859 (2020) - [j16]Nilanjan Dey, V. Rajinikanth, Simon James Fong, M. Shamim Kaiser, Mufti Mahmud:
Social Group Optimization-Assisted Kapur's Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images. Cogn. Comput. 12(5): 1011-1023 (2020) - [j15]Ambikapathy Bakiya, Krishnamurthy Kamalanand, V. Rajinikanth, Ramesh Sunder Nayak, Seifedine Nimer Kadry:
Deep neural network assisted diagnosis of time-frequency transformed electromyograms. Multim. Tools Appl. 79(15-16): 11051-11067 (2020) - [j14]Steven Lawrence Fernandes, Urcun John Tanik, V. Rajinikanth, K. Arvind Karthik:
A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians. Neural Comput. Appl. 32(20): 15897-15908 (2020) - [j13]S. Arockia Sukanya, Krishnamurthy Kamalanand, B. Thayumanavan, C. Emmanuel, V. Rajinikanth:
Time domain analysis on myoelectric activity of masseter muscles in resting and chewing conditions. Netw. Model. Anal. Health Informatics Bioinform. 9(1): 18 (2020) - [j12]Abhir Bhandary, G. Ananth Prabhu, V. Rajinikanth, K. Palani Thanaraj, Suresh Chandra Satapathy, David E. Robbins, Charles Shasky, Yu-Dong Zhang, João Manuel R. S. Tavares, Nadaradjane Sri Madhava Raja:
Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images. Pattern Recognit. Lett. 129: 271-278 (2020) - [j11]Sudeepa K. B, Ganesh Aithal, V. Rajinikanth, Suresh Chandra Satapathy:
Genetic algorithm based key sequence generation for cipher system. Pattern Recognit. Lett. 133: 341-348 (2020) - [c10]R. Dellecta Jessy Rashmi, V. Rajinikanth, Hong Lin, Suresh Chandra Satapathy:
Extraction of Leukocyte Section from Digital Microscopy Picture with Image Processing Method. FICTA (2) 2020: 663-670 - [c9]D. Abirami, N. Shalini, V. Rajinikanth, Hong Lin, Vaddi Seshagiri Rao:
Brain MRI Examination with Varied Modality Fusion and Chan-Vese Segmentation. FICTA (2) 2020: 671-679 - [c8]M. Santhosh, R. Rubin Silas Raj, V. Rajinikanth, Suresh Chandra Satapathy:
Image Assisted Assessment of Cancer Segment from Dermoscopy Images. FICTA (2) 2020: 701-710 - [c7]S. Fuzail Ahmed Razeen, Emmanuel, V. Rajinikanth, P. Tamizharasi, B. Parvatha Varthini:
Examination of Optic Disc Sections of Fundus Retinal Images - A Study with Rim-One Database. FICTA (2) 2020: 711-719 - [c6]R. Elanthirayan, K. Sakeenathul Kubra, V. Rajinikanth, Nadaradjane Sri Madhava Raja, Suresh Chandra Satapathy:
Extraction of Cancer Section from 2D Breast MRI Slice Using Brain Strom Optimization. FICTA (2) 2020: 731-739 - [c5]Seifedine Nimer Kadry, Fadi M. Al-Turjman, V. Rajinikanth:
Automated Segmentation of COVID-19 Lesion from Lung CT Images Using U-Net Architecture. SmartCity360° 2020: 20-30 - [p2]Ananjan Maiti, Himadri Shekhargiri, Biswajoy Chatterjee, Venkatesan Rajinikanth, Fuqian Shi, Nilanjan Dey:
Classification of Melanoma Through Fused Color Features and Deep Neural Networks. Information Technology and Intelligent Transportation Systems 2020: 86-96 - [p1]Nilanjan Dey, Fuqian Shi, Venkatesan Rajinikanth:
Image Examination System to Detect Gastric Polyps from Endoscopy Images. Information Technology and Intelligent Transportation Systems 2020: 107-116 - [i3]K. Palani Thanaraj, B. Parvathavarthini, Urcun John Tanik, V. Rajinikanth, Seifedine Nimer Kadry, Krishnamurthy Kamalanand:
Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis. CoRR abs/2003.04534 (2020) - [i2]V. Rajinikanth, Nilanjan Dey, Alex Noel Joseph Raj, Aboul Ella Hassanien, KC Santosh, Nadaradjane Sri Madhava Raja:
Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images. CoRR abs/2004.03431 (2020) - [i1]Seifedine Nimer Kadry, Venkatesan Rajinikanth, Seungmin Rho, Nadaradjane Sri Madhava Raja, Vaddi Seshagiri Rao, Krishnan Palani Thanaraj:
Development of a Machine-Learning System to Classify Lung CT Scan Images into Normal/COVID-19 Class. CoRR abs/2004.13122 (2020)
2010 – 2019
- 2019
- [j10]V. Jahmunah, Shu Lih Oh, V. Rajinikanth, Edward J. Ciaccio, Kang Hao Cheong, Arunkumar N., U. Rajendra Acharya:
Automated detection of schizophrenia using nonlinear signal processing methods. Artif. Intell. Medicine 100 (2019) - [j9]Yu Wang, Yating Chen, Ningning Yang, Longfei Zheng, Nilanjan Dey, Amira S. Ashour, Venkatesan Rajinikanth, João Manuel R. S. Tavares, Fuqian Shi:
Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network. Appl. Soft Comput. 74: 40-50 (2019) - [j8]Steven Lawrence Fernandes, Venkatesan Rajinikanth, Seifedine Nimer Kadry:
A Hybrid Framework to Evaluate Breast Abnormality Using Infrared Thermal Images. IEEE Consumer Electron. Mag. 8(5): 31-36 (2019) - [j7]U. Rajendra Acharya, Steven Lawrence Fernandes, Joel Koh En Wei, Edward J. Ciaccio, Mohd Kamil Bin Mohd Fabell, Urcun John Tanik, V. Rajinikanth, Chai Hong Yeong:
Automated Detection of Alzheimer's Disease Using Brain MRI Images- A Study with Various Feature Extraction Techniques. J. Medical Syst. 43(9): 302:1-302:14 (2019) - 2018
- [j6]Venkatesan Rajinikanth, Nilanjan Dey, Suresh Chandra Satapathy, Amira S. Ashour:
An approach to examine Magnetic Resonance Angiography based on Tsallis entropy and deformable snake model. Future Gener. Comput. Syst. 85: 160-172 (2018) - [j5]Suresh Chandra Satapathy, Nadaradjane Sri Madhava Raja, Venkatesan Rajinikanth, Amira S. Ashour, Nilanjan Dey:
Multi-level image thresholding using Otsu and chaotic bat algorithm. Neural Comput. Appl. 29(12): 1285-1307 (2018) - [j4]Nilanjan Dey, Venkatesan Rajinikanth, Amira S. Ashour, João Manuel R. S. Tavares:
Social Group Optimization Supported Segmentation and Evaluation of Skin Melanoma Images. Symmetry 10(2): 51 (2018) - [c4]V. Rajinikanth, Nilanjan Dey, Suresh Chandra Satapathy, Krishnamurthy Kamalanand:
Inspection of Crop-Weed Image Database Using Kapur's Entropy and Spider Monkey Optimization. SocProS (1) 2018: 405-414 - [c3]Jyotismita Chaki, Nilanjan Dey, V. Rajinikanth, Amira S. Ashour, Fuqian Shi:
Recognition of Skin Diseases Using Curvelet Transforms and Law's Texture Energy Measures. SOFA (2) 2018: 51-61 - 2017
- [j3]V. Rajinikanth, Suresh Chandra Satapathy, Steven Lawrence Fernandes, S. Nachiappan:
Entropy based segmentation of tumor from brain MR images - a study with teaching learning based optimization. Pattern Recognit. Lett. 94: 87-95 (2017) - 2013
- [c2]Nadaradjane Sri Madhava Raja, K. Suresh Manic, V. Rajinikanth:
Firefly Algorithm with Various Randomization Parameters: An Analysis. SEMCCO (1) 2013: 110-121 - 2012
- [j2]V. Rajinikanth, K. Latha:
Controller Parameter Optimization for Nonlinear Systems Using Enhanced Bacteria Foraging Algorithm. Appl. Comput. Intell. Soft Comput. 2012: 214264:1-214264:12 (2012) - [j1]V. Rajinikanth, K. Latha:
I-PD Controller Tuning for Unstable System Using Bacterial Foraging Algorithm: A Study Based on Various Error Criterion. Appl. Comput. Intell. Soft Comput. 2012: 329389:1-329389:10 (2012) - [c1]K. Latha, V. Rajinikanth:
2DOF PID Controller Tuning for Unstable Systems Using Bacterial Foraging Algorithm. SEMCCO 2012: 519-527
Coauthor Index
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