The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception

MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2013 - Elsevier
Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing,
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …

2014 Update of the Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception

MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2015 - Elsevier
Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing,
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …

[图书][B] Computational topology for data analysis

TK Dey, Y Wang - 2022 - books.google.com
" In this chapter, we introduce some of the very basics that are used throughout the book.
First, we give the definition of a topological space and related notions of open and closed …

Persistence images: A stable vector representation of persistent homology

H Adams, T Emerson, M Kirby, R Neville… - Journal of Machine …, 2017 - jmlr.org
Many data sets can be viewed as a noisy sampling of an underlying space, and tools from
topological data analysis can characterize this structure for the purpose of knowledge …

A stable multi-scale kernel for topological machine learning

J Reininghaus, S Huber, U Bauer… - Proceedings of the …, 2015 - openaccess.thecvf.com
Topological data analysis offers a rich source of valuable information to study vision
problems. Yet, so far we lack a theoretically sound connection to popular kernel-based …

Persistent-homology-based machine learning: a survey and a comparative study

CS Pun, SX Lee, K Xia - Artificial Intelligence Review, 2022 - Springer
A suitable feature representation that can both preserve the data intrinsic information and
reduce data complexity and dimensionality is key to the performance of machine learning …

Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening

Z Cang, L Mu, GW Wei - PLoS computational biology, 2018 - journals.plos.org
This work introduces a number of algebraic topology approaches, including multi-
component persistent homology, multi-level persistent homology, and electrostatic …

Persistent homology analysis of protein structure, flexibility, and folding

K Xia, GW Wei - International journal for numerical methods in …, 2014 - Wiley Online Library
Proteins are the most important biomolecules for living organisms. The understanding of
protein structure, function, dynamics, and transport is one of the most challenging tasks in …

Persistent brain network homology from the perspective of dendrogram

H Lee, H Kang, MK Chung, BN Kim… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
The brain network is usually constructed by estimating the connectivity matrix and
thresholding it at an arbitrary level. The problem with this standard method is that we do not …

Application of Artificial Intelligence techniques for the detection of Alzheimer's disease using structural MRI images

X Zhao, CKE Ang, UR Acharya, KH Cheong - … and Biomedical Engineering, 2021 - Elsevier
Alzheimer's disease (AD) is an irreversible, progressive brain disorder that slowly destroys
memory and thinking skills. It is one of the leading types of dementia for persons aged above …