M. Latha

Detection of Schizophrenia Disorder from Ventricle Region in MR Brain Images via Hu Moment Invariants Using Random Forest

M. Muthulakshmi, G. Kavitha, M. Latha, 2018 .

MRI Image based Brain Tumour Segmentation using Machine Learning Classifiers

M. Latha, Preetika B, M. Senthilmurugan, 2021, 2021 International Conference on Computer Communication and Informatics (ICCCI).

Segmentation and texture analysis of structural biomarkers using neighborhood-clustering-based level set in MRI of the schizophrenic brain

Ganesan Kavitha, Manohar Latha, G. Kavitha, 2018, Magnetic Resonance Materials in Physics, Biology and Medicine.

Assessment of severity in neuropsychiatric disorders based on radiomic features with prior shape level set and metaheuristic algorithms

G. Kavitha, Manohar Latha, M. Latha, 2019, Int. J. Imaging Syst. Technol..

Detection of Schizophrenia in brain MR images based on segmented ventricle region and deep belief networks

Manohar Latha, Ganesan Kavitha, G. Kavitha, 2019, Neural Computing and Applications.

Combined Metaheuristic Algorithm and Radiomics Strategy for the Analysis of Neuroanatomical Structures in Schizophrenia and Schizoaffective Disorders

G. Kavitha, M. Latha, 2020 .

Segmentation and analysis of ventricles in Schizophrenic MR brain images using optimal region based energy minimization framework

G. Kavitha, M. Latha, G. Kavitha, 2017, 2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN).

Classification in EEG-Based Brain Computer Interfaces Using Inverse Model

M Senthilmurugan., M Latha., N Dr.Malmurugan., 2011 .