An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future …

D Sadeghi, A Shoeibi, N Ghassemi, P Moridian… - Computers in Biology …, 2022 - Elsevier
Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …

Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer's disease

S Lahmiri, A Shmuel - Biomedical Signal Processing and Control, 2019 - Elsevier
Early detection of Alzheimer's disease (AD) using structural magnetic resonance images is
essential for early treatment that can slow the progression of the disease. Therefore, there is …

A Review of Machine Learning Algorithms for Biomedical Applications

VA Binson, S Thomas, M Subramoniam, J Arun… - Annals of Biomedical …, 2024 - Springer
As the amount and complexity of biomedical data continue to increase, machine learning
methods are becoming a popular tool in creating prediction models for the underlying …

[HTML][HTML] Group ICA for identifying biomarkers in schizophrenia:'Adaptive'networks via spatially constrained ICA show more sensitivity to group differences than spatio …

MS Salman, Y Du, D Lin, Z Fu, A Fedorov… - NeuroImage: Clinical, 2019 - Elsevier
Brain functional networks identified from fMRI data can provide potential biomarkers for
brain disorders. Group independent component analysis (GICA) is popular for extracting …

A novel event-related fMRI supervoxels-based representation and its application to schizophrenia diagnosis

C Cruz-Martinez, CA Reyes-Garcia… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective: The schizophrenia diagnosis represents a difficult task
because of the confusing descriptions of symptoms given by the patient, their similarity …

Non-negative discriminative brain functional connectivity for identifying schizophrenia on resting-state fMRI

Q Zhu, J Huang, X Xu - Biomedical engineering online, 2018 - Springer
Background Schizophrenia is a clinical syndrome, and its causes have not been well
determined. The objective of this study was to investigate the alteration of brain functional …

Bi-objective approach for computer-aided diagnosis of schizophrenia patients using fMRI data

I Chatterjee, M Agarwal, B Rana, N Lakhyani… - Multimedia Tools and …, 2018 - Springer
Computer-aided diagnosis (CAD) of schizophrenia based on the analysis of brain images,
captured using functional Magnetic Resonance Imaging (fMRI) technique, is an active area …

Exploring brain connectivity changes in major depressive disorder using functional‐structural data fusion: A CAN‐BIND‐1 study

S Ayyash, AD Davis, GL Alders… - Human Brain …, 2021 - Wiley Online Library
There is a growing interest in examining the wealth of data generated by fusing functional
and structural imaging information sources. These approaches may have clinical utility in …

Diagnosis of schizophrenia using brain resting-state fMRI with activity maps based on deep learning

M Ghanbari, AH Pilevar, N Bathaeian - Signal, Image and Video …, 2023 - Springer
In recent years, the use of medical imaging in the analysis of human body structure and
diagnosis of diseases has greatly increased. Schizophrenia is a serious psychiatric illness …

Impact of ageing on the brain regions of the schizophrenia patients: an fMRI study using evolutionary approach

I Chatterjee, V Kumar, B Rana, M Agarwal… - Multimedia Tools and …, 2020 - Springer
Schizophrenia is a mental disorder that results in adverse functional and biochemical
changes in the brain. Although normal ageing significantly affects the brain of a person …