Multi-modality MRI for Alzheimer's disease detection using deep learning

L Houria, N Belkhamsa, A Cherfa, Y Cherfa - Physical and Engineering …, 2022 - Springer
Diffusion tensor imaging (DTI) is a new technology in magnetic resonance imaging, which
allows us to observe the insightful structure of the human body in vivo and non-invasively. It …

An ensemble learning approach based on diffusion tensor imaging measures for Alzheimer's disease classification

E Lella, A Pazienza, D Lofu, R Anglani, F Vitulano - Electronics, 2021 - mdpi.com
Recent advances in neuroimaging techniques, such as diffusion tensor imaging (DTI),
represent a crucial resource for structural brain analysis and allow the identification of …

Computer aided autism diagnosis using diffusion tensor imaging

YA Elnakieb, MT Ali, A Soliman, AH Mahmoud… - Ieee …, 2020 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD), commonly known as autism, is a lifelong developmental
disorder associated with a broad range of symptoms including difficulties in social …

Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimer's disease

J Wen, J Samper-González, S Bottani, A Routier… - Neuroinformatics, 2021 - Springer
Diffusion MRI is the modality of choice to study alterations of white matter. In past years,
various works have used diffusion MRI for automatic classification of Alzheimer's disease …

Communicability disruption in Alzheimer's disease connectivity networks

E Lella, N Amoroso, A Lombardi… - Journal of Complex …, 2019 - academic.oup.com
In real-world networks, information from source to destination does not only flow along the
shortest path connecting them, but can flow along any alternative route. Communicability is …

Diagnosis of Alzheimer's disease using combined feature selection method

FUR Faisal, U Khatri, GR Kwon - Journal of korea multimedia …, 2021 - koreascience.kr
The treatments for symptoms of Alzheimer's disease are being provided and for the early
diagnosis several researches are undergoing. In this regard, by using T1-weighted images …

A predictive visual analytics system for studying neurodegenerative disease based on DTI fiber tracts

C Xu, T Neuroth, T Fujiwara, R Liang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Diffusion tensor imaging (DTI) has been used to study the effects of neurodegenerative
diseases on neural pathways, which may lead to more reliable and early diagnosis of these …

Communicability characterization of structural DWI subcortical networks in Alzheimer's disease

E Lella, N Amoroso, D Diacono, A Lombardi… - Entropy, 2019 - mdpi.com
In this paper, we investigate the connectivity alterations of the subcortical brain network due
to Alzheimer's disease (AD). Mostly, the literature investigated AD connectivity abnormalities …

[图书][B] Leveraging a machine learning based predictive framework to study brain-phenotype relationships

S Hahn - 2023 - search.proquest.com
An immense collective effort has been put towards the development of methods for
quantifying brain activity and structure. In parallel, a similar effort has focused on collecting …

Structural and microstructural neuroimaging for diagnosis and tracking of neurodegenerative diseases

J Wen - 2019 - theses.hal.science
Biomarker identification and tracking in dementia are essential to better understand the
pathological mechanism and disease trajectory. The current PhD aims has two main …