Dr. Venkatesan RAJINIKANTH
Dr. Venkatesan RAJINIKANTH
Department of Research and Innovation, Saveetha School of Engineering, SIMATS.
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Cited by
Cited by
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices
S Ahuja, BK Panigrahi, N Dey, V Rajinikanth, TK Gandhi
Applied Intelligence 51 (1), 571-585, 2021
Deep-learning framework to detect lung abnormality–A study with chest X-Ray and lung CT scan images
A Bhandary, GA Prabhu, V Rajinikanth, KP Thanaraj, SC Satapathy, ...
Pattern Recognition Letters 129, 271-278, 2020
Automated detection of Alzheimer’s disease using brain MRI images–a study with various feature extraction techniques
UR Acharya, SL Fernandes, JE WeiKoh, EJ Ciaccio, MKM Fabell, ...
Journal of Medical Systems 43, 1-14, 2019
Entropy based segmentation of tumor from brain MR images–a study with teaching learning based optimization
V Rajinikanth, SC Satapathy, SL Fernandes, S Nachiappan
Pattern Recognition Letters 94, 87-95, 2017
Multi-level image thresholding using Otsu and chaotic bat algorithm
SC Satapathy, N Sri Madhava Raja, V Rajinikanth, AS Ashour, N Dey
Neural Computing and Applications 29, 1285-1307, 2018
Automated detection of schizophrenia using nonlinear signal processing methods
V Jahmunah, SL Oh, V Rajinikanth, EJ Ciaccio, KH Cheong, N Arunkumar, ...
Artificial intelligence in medicine 100, 101698, 2019
Otsu based optimal multilevel image thresholding using firefly algorithm
NSM Raja, V Rajinikanth, K Latha
Modelling and Simulation in Engineering 2014, 37-37, 2014
Social group optimization supported segmentation and evaluation of skin melanoma images
N Dey, V Rajinikanth, AS Ashour, JMRS Tavares
Symmetry 10 (2), 51, 2018
RGB histogram based color image segmentation using firefly algorithm
V Rajinikanth, MS Couceiro
Procedia Computer Science 46, 1449-1457, 2015
Harmony-search and otsu based system for coronavirus disease (COVID-19) detection using lung CT scan images
V Rajinikanth, N Dey, ANJ Raj, AE Hassanien, KC Santosh, N Raja
arXiv preprint arXiv:2004.03431, 2020
Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation
NSM Raja, SL Fernandes, N Dey, SC Satapathy, V Rajinikanth
Journal of Ambient Intelligence and Humanized Computing, 1-12, 2018
Segmentation of ischemic stroke lesion in brain MRI based on social group optimization and Fuzzy-Tsallis entropy
V Rajinikanth, SC Satapathy
Arabian Journal for Science and Engineering 43 (8), 4365-4378, 2018
Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays
N Dey, YD Zhang, V Rajinikanth, R Pugalenthi, NSM Raja
Pattern Recognition Letters, 2021
Computer-aided gastrointestinal diseases analysis from wireless capsule endoscopy: a framework of best features selection
MA Khan, S Kadry, M Alhaisoni, Y Nam, Y Zhang, V Rajinikanth, ...
IEEE Access 8, 132850-132859, 2020
Social group optimization–assisted Kapur’s entropy and morphological segmentation for automated detection of COVID-19 infection from computed tomography images
N Dey, V Rajinikanth, SJ Fong, MS Kaiser, M Mahmud
Cognitive Computation 12, 1011-1023, 2020
A customized VGG19 network with concatenation of deep and handcrafted features for brain tumor detection
V Rajinikanth, AN Joseph Raj, KP Thanaraj, GR Naik
Applied Sciences 10 (10), 3429, 2020
A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians
SL Fernandes, UJ Tanik, V Rajinikanth, KA Karthik
Neural Computing and Applications, 1-12, 2019
Firefly algorithm assisted segmentation of tumor from brain MRI using Tsallis function and Markov random field
V Rajinikanth, NSM Raja, K Kamalanand
Journal of Control Engineering and Applied Informatics 19 (3), 97-106, 2017
Segmentation and analysis of brain tumor using Tsallis entropy and regularised level set
V Rajinikanth, SL Fernandes, B Bhushan, Harisha, NR Sunder
Proceedings of 2nd International Conference on Micro-Electronics …, 2018
Otsu's multi-thresholding and active contour snake model to segment dermoscopy images
V Rajinikanth, N Madhavaraja, SC Satapathy, SL Fernandes
Journal of Medical Imaging and Health Informatics 7 (8), 1837-1840, 2017
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