Author

G Kavitha

Professor, ECE, CEG Campus, Anna University - Cited by 411 - Biomedical image processing - Machine Learning

Biography

Dr.G Kavitha is currently working in the Department of Electronics Engineering, M.I.T. Campus, Anna University, Chennai, Tamil Nadu, India. Her research topics includes such as Deep Learning, Network Security, Cloud & Grid Computing, neural networks and artificial intelligence.
Title
Cited by
Year
Detection of Schizophrenia in brain MR images based on segmented ventricle region and deep belief networks
M Latha, G KavithaNeural Computing and Applications 31, 5195-5206, 2019201
24
2019
Segmentation and texture analysis of structural biomarkers using neighborhood-clustering-based level set in MRI of the schizophrenic brain
M Latha, G KavithaMagnetic Resonance Materials in Physics, Biology and Medicine 31, 483-499, 2018201
22
2018
Diagnosis of schizophrenia disorder in MR brain images using multi-objective BPSO based feature selection with fuzzy SVM
L Manohar, K GanesanJournal of medical and biological engineering 38, 917-932, 2018201
22
2018
Segmentation and analysis of corpus callosum in autistic MR brain images using reaction diffusion level sets
AR Fredo, G Kavitha, S RamakrishnanJournal of Medical Imaging and Health Informatics 5 (4), 737-741, 2015201
17
2015
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 RamakrishnanJournal of Medical and Biological Engineering 35, 331-337, 2015201
12
2015
Minkowski functionals based brain to ventricle index for analysis of AD progression in MR images
M Kayalvizhi, G Kavitha, CM Sujatha, S RamakrishnanMeasurement 74, 103-112, 2015201
8
2015
Deep CNN with LM learning based myocardial ischemia detection in cardiac magnetic resonance images
M Muthulakshmi, G Kavitha2019 41st Annual International Conference of the IEEE Engineering in …, 2019201
7
2019
Image segmentation using contour models: dental X-ray image segmentation and analysis
G Kavitha, M Muthulakshmi, M LathaResearch Anthology on Improving Medical Imaging Techniques for Analysis and …, 2023202
5
2023
Vehicle license plate recognition (vlpr)
KB Sathya, V Vaidehi, G Kavitha2017 Trends in Industrial Measurement and Automation (TIMA), 1-6, 2017201
5
2017
Segmentation and analysis of ventricles in Schizophrenic MR brain images using optimal region based energy minimization framework
M Latha, G Kavitha2017 fourth international conference on signal processing, communication and …, 2017201
5
2017
Multilevel Tsallis entropy based segmentation for detection of object and shadow in SONAR images
PM Rajeshwari, D Rajapan, G Kavitha, CM Sujatha2015 IEEE International Conference on Signal Processing, Informatics …, 2015201
3
2015
Swarm intelligence based segmentation for buried object scanning SONAR images
PM Rajeshwari, G Kavitha, CM Sujatha, D Rajapan2015 IEEE Underwater Technology (UT), 1-4, 2015201
3
2015
Analysis of myocardial ischemia from cardiac magnetic resonance images using adaptive fuzzy-based multiphase level set
M Muthulakshmi, G KavithaComputational Signal Processing and Analysis: Select Proceedings of ICNETS2 …, 2018201
3
2018
Fourth order diffusion model based edge map extraction of infrared breast images
J Thamil Selvi, G Kavitha, CM SujathaJournal of Computational Methods in Sciences and Engineering 19 (2), 499-506, 2019201
3
2019
An approach to extract edge maps in infrared based breast images using inverse Perona-Malik diffusion filter
JT Selvi, G Kavitha, CM SujathaInternational Journal of Biomedical Engineering and Technology 8 (3), 61-7, 01801
2
2018
Hermite transform and support vector machine based analysis of schizophrenia disorder in magnetic resonance brain images
M Latha, G KavithaInternational Journal of Biomedical Engineering and Technology 7 (3), 03-0, 01801
2
2018
Assessment of severity in neuropsychiatric disorders based on radiomic features with prior shape level set and metaheuristic algorithms
M Latha, G KavithaInternational Journal of Imaging Systems and Technology 9 (3), 10-1, 01901
2
2019