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Dr. Kavitha Ganesan
Dr. Kavitha Ganesan
Professor, ECE, CEG Campus, Anna University
Verified email at annauniv.edu
Title
Cited by
Cited by
Year
Analysis of Vasculature in Human Retinal Images Using Particle Swarm Optimization Based Tsallis Multi-level Thresholding and Similarity Measures
NS Madhava Raja, G Kavitha, S Ramakrishnan
Swarm, Evolutionary, and Memetic Computing 7677, 380-387, 2012
41*2012
Proposal of a Content Based retinal Image Retrieval system using Kirsch template based edge detection
J Sivakamasundari, G Kavitha, V Natarajan, S Ramakrishnan
2014 International Conference on Informatics, Electronics & Vision (ICIEV), 1-5, 2014
302014
Detection of Schizophrenia in brain MR images based on segmented ventricle region and deep belief networks
M Latha, G Kavitha
Neural Computing and Applications 31, 5195-5206, 2019
292019
Segmentation and texture analysis of structural biomarkers using neighborhood-clustering-based level set in MRI of the schizophrenic brain
M Latha, G Kavitha
Magnetic Resonance Materials in Physics, Biology and Medicine 31, 483-499, 2018
292018
Diagnosis of schizophrenia disorder in MR brain images using multi-objective BPSO based feature selection with fuzzy SVM
L Manohar, K Ganesan
Journal of medical and biological engineering 38 (6), 917-932, 2018
242018
An approach to identify optic disc in human retinal images using ant colony optimization method
G Kavitha, S Ramakrishnan
Journal of Medical Systems, 809–813, 2010
232010
Segmentation and analysis of corpus callosum in autistic MR brain images using reaction diffusion level sets
AR Fredo, G Kavitha, S Ramakrishnan
Journal of Medical Imaging and Health Informatics 5 (4), 737-741, 2015
192015
Video Object Extraction Based On A Comparative Study Of Efficient Edge Detection Techniques
K Ganesan, S Jalla
International Arab Journal of Information Technology 6 (2), 107-115, 2009
192009
Identification and analysis of macula in retinal images using Ant Colony Optimization based hybrid method
G Kavitha, S Ramakrishnan
Nature & Biologically Inspired Computing, 1174 - 1177, 2009
182009
Analysis of ventricle regions in Alzheimer’s brain MR images using level set based methods
M Kayalvizhi, G Kavitha, CM Sujatha
International Journal of Biomedical Engineering and Technology 12, 300-309, 2013
162013
Automated segmentation and analysis of corpus callosum in autistic MR brain images using fuzzy-c-means-based level set method
AR Jac Fredo, G Kavitha, S Ramakrishnan
Journal of Medical and Biological Engineering 35, 331-337, 2015
152015
Segmentation and analysis of brain subcortical regions using regularized multiphase level set in autistic MR images
ARJ Fredo, G Kavitha, S Ramakrishnan
International Journal of Imaging Systems and Technology 24 (3), 256–262, 2014
152014
Deep CNN with LM learning based myocardial ischemia detection in cardiac magnetic resonance images
M Muthulakshmi, G Kavitha
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
142019
Detection of Blood Vessels in Human Retinal Images using Ant Colony Optimization Method
G Kavitha, S Ramakrishnan
International Journal of Bio-Medical Engineering and Technology 5, 360 – 370, 2011
132011
Segmentation and morphometric analysis of subcortical regions in autistic MR brain images using fuzzy Gaussian distribution model-based distance regularised multi-phase level set
AR Jac Fredo, G Kavitha, S Ramakrishnan
International Journal of Biomedical Engineering and Technology 15 (3), 211-223, 2014
122014
Combined metaheuristic algorithm and radiomics strategy for the analysis of neuroanatomical structures in schizophrenia and schizoaffective disorders
M Latha, G Kavitha
IRBM 42 (5), 353-368, 2021
112021
Minkowski functionals based brain to ventricle index for analysis of AD progression in MR images
M Kayalvizhi, G Kavitha, CM Sujatha, S Ramakrishnan
Measurement 74, 103-112, 2015
102015
Analysis of anatomical regions in Alzheimer's brain MR images using level sets and Minkowski functionals
M Kayalvizhi, KR Anandh, G Kavitha, CM Sujatha, S Ramakrishnan
Journal of Mechanics in Medicine and Biology 15 (02), 1540024, 2015
102015
A novel deep learning approach for sickle cell anemia detection in human RBCs using an improved wrapper-based feature selection technique in microscopic blood smear images
K Ganesan, BB K
Biomedical Engineering/Biomedizinische Technik 68 (2), 175-185, 2023
82023
Identification of systolic and diastolic heart failure progression with Krawtchouk moment feature-aided Harris hawks optimized support vector machine
M Muthunayagam, K Ganesan
Signal, Image and Video Processing 16 (1), 127-135, 2022
82022
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Articles 1–20