Alzheimer's diagnosis using deep learning in segmenting and classifying 3D brain MR images

TA Tuan, TB Pham, JY Kim… - International Journal of …, 2022 - Taylor & Francis
Background and objectives Dementia is one of the brain diseases with serious symptoms
such as memory loss, and thinking problems. According to the World Alzheimer Report …

Deep Learning Based Alzheimer Disease Diagnosis: A Comprehensive Review

S Suganyadevi, AS Pershiya, K Balasamy… - SN Computer …, 2024 - Springer
Dementia encompasses a range of cognitive disorders, with Alzheimer's Disease being the
utmost widespread and devastating. AD gradually erodes memory and daily functioning …

Rationale, design and methodology of the image analysis protocol for studies of patients with cerebral small vessel disease and mild stroke

MC Valdés Hernández, PA Armitage… - Brain and …, 2015 - Wiley Online Library
Rationale Cerebral small vessel disease (SVD) is common in ageing and patients with
dementia and stroke. Its manifestations on magnetic resonance imaging (MRI) include white …

[HTML][HTML] Statistical deformation reconstruction using multi-organ shape features for pancreatic cancer localization

M Nakao, M Nakamura, T Mizowaki, T Matsuda - Medical image analysis, 2021 - Elsevier
Respiratory motion and the associated deformations of abdominal organs and tumors are
essential information in clinical applications. However, inter-and intra-patient multi-organ …

X-ray2Shape: reconstruction of 3D liver shape from a single 2D projection image

F Tong, M Nakao, S Wu, M Nakamura… - 2020 42nd Annual …, 2020 - ieeexplore.ieee.org
Computed tomography (CT) and magnetic resonance imaging (MRI) scanners measure
three-dimensional (3D) images of patients. However, only low-dimensional local two …

[PDF][PDF] Morphological and microstructural changes of the hippocampus in early MCI: a study utilizing the Alzheimer's disease neuroimaging initiative database

P Lee, H Ryoo, J Park, Y Jeong… - Journal of Clinical …, 2017 - synapse.koreamed.org
Background and Purpose With the aim of facilitating the early detection of Alzheimer's
disease, the Alzheimer's Disease Neuroimaging Initiative proposed two stages based on the …

Surface deformation analysis of collapsed lungs using model-based shape matching

M Nakao, J Tokuno, T Chen-Yoshikawa, H Date… - International journal of …, 2019 - Springer
Purpose To facilitate intraoperative localization of lung nodules, this study used model-
based shape matching techniques to analyze the inter-subject three-dimensional surface …

Discriminating Alzheimer's disease progression using a new hippocampal marker from T1‐weighted MRI: The local surface roughness

C Platero, ME López, M Carmen Tobar… - Human brain …, 2019 - Wiley Online Library
Hippocampal atrophy is one of the main hallmarks of Alzheimer's disease (AD). However,
there is still controversy about whether this sign is a robust finding during the early stages of …

Longitudinal neuroimaging hippocampal markers for diagnosing Alzheimer's disease

C Platero, L Lin, MC Tobar - Neuroinformatics, 2019 - Springer
Hippocampal atrophy measures from magnetic resonance imaging (MRI) are powerful tools
for monitoring Alzheimer's disease (AD) progression. In this paper, we introduce a …

A fast approach for hippocampal segmentation from T1-MRI for predicting progression in Alzheimer's disease from elderly controls

C Platero, MC Tobar - Journal of neuroscience methods, 2016 - Elsevier
Background We provide and evaluate an open-source software solution for automatically
measuring hippocampal volume and hippocampal surface roughness based on T1 …