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 …

[HTML][HTML] Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer's disease: diagnosis, longitudinal progress and biological basis

K Zhao, Y Ding, Y Han, Y Fan, AF Alexander-Bloch… - Science Bulletin, 2020 - Elsevier
Hippocampal morphological change is one of the main hallmarks of Alzheimer's disease
(AD). However, whether hippocampal radiomic features are robust as predictors of …

[HTML][HTML] Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases

JE Iglesias, K Van Leemput, J Augustinack, R Insausti… - Neuroimage, 2016 - Elsevier
The hippocampal formation is a complex, heterogeneous structure that consists of a number
of distinct, interacting subregions. Atrophy of these subregions is implied in a variety of …

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 …

A comprehensive characterization of hippocampal feature ensemble serves as individualized brain signature for Alzheimer's disease: deep learning analysis in 3238 …

Y Zhang, H Li, Q Zheng - European Radiology, 2023 - Springer
Objectives Hippocampal characterization is one of the most significant hallmarks of
Alzheimer's disease (AD); rather, the single-level feature is insufficient. A comprehensive …

Multi-task neural networks for joint hippocampus segmentation and clinical score regression

L Cao, L Li, J Zheng, X Fan, F Yin, H Shen… - Multimedia Tools and …, 2018 - Springer
Feature representations extracted from hippocampus in magnetic resonance (MR) images
are widely used in computer-aided Alzheimer's disease (AD) diagnosis, and thus accurate …

Improving Alzheimer's disease classification by combining multiple measures

J Liu, J Wang, Z Tang, B Hu, FX Wu… - IEEE/ACM transactions …, 2017 - ieeexplore.ieee.org
Several anatomical magnetic resonance imaging (MRI) markers for Alzheimer's disease
(AD) have been identified. Cortical gray matter volume, cortical thickness, and subcortical …

Standardization of hippocampus volumetry using automated brain structure volumetry tool for an initial Alzheimer's disease imaging biomarker

J Abrigo, L Shi, Y Luo, Q Chen, WCW Chu… - Acta …, 2019 - journals.sagepub.com
Background One significant barrier to incorporate Alzheimer's disease (AD) imaging
biomarkers into diagnostic criteria is the lack of standardized methods for biomarker …

A hybrid convolutional and recurrent neural network for hippocampus analysis in Alzheimer's disease

F Li, M Liu… - Journal of neuroscience …, 2019 - Elsevier
Background Hippocampus is one of the first structures affected by neurodegenerative
diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI) …

Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease

J Lötjönen, R Wolz, J Koikkalainen, V Julkunen… - Neuroimage, 2011 - Elsevier
Assessment of temporal lobe atrophy from magnetic resonance images is a part of clinical
guidelines for the diagnosis of prodromal Alzheimer's disease. As hippocampus is known to …