[HTML][HTML] Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects
The integration of positron emission tomography (PET) and single-photon emission
computed tomography (SPECT) imaging techniques with machine learning (ML) algorithms …
computed tomography (SPECT) imaging techniques with machine learning (ML) algorithms …
Statistical Brain Network Analysis
SL Simpson, HM Shappell… - Annual Review of …, 2024 - annualreviews.org
The recent fusion of network science and neuroscience has catalyzed a paradigm shift in
how we study the brain and led to the field of brain network analysis. Brain network analyses …
how we study the brain and led to the field of brain network analysis. Brain network analyses …
A partially functional linear regression framework for integrating genetic, imaging, and clinical data
A partially functional linear regression framework for integrating genetic, imaging, and
clinical data Page 1 The Annals of Applied Statistics 2024, Vol. 18, No. 1, 704–728 https://doi.org/10.1214/23-AOAS1808 …
clinical data Page 1 The Annals of Applied Statistics 2024, Vol. 18, No. 1, 704–728 https://doi.org/10.1214/23-AOAS1808 …
FPLS-DC: functional partial least squares through distance covariance for imaging genetics
Motivation Imaging genetics integrates imaging and genetic techniques to examine how
genetic variations influence the function and structure of organs like the brain or heart …
genetic variations influence the function and structure of organs like the brain or heart …
[HTML][HTML] The Interplay of Sports and Nutrition in Neurological Health and Recovery
VJ Clemente-Suárez, L Redondo-Flórez… - Journal of Clinical …, 2024 - mdpi.com
This comprehensive review explores the dynamic relationship between sports, nutrition, and
neurological health. Focusing on recent clinical advancements, it examines how physical …
neurological health. Focusing on recent clinical advancements, it examines how physical …
NRAAF: A Framework for Comparative Analysis of fMRI Registration Algorithms and Their Impact on Resting-State Neuroimaging Accuracy
The rapid evolution of neuroimaging techniques underscores the necessity for robust
medical image registration algorithms, essential for the precise analysis of resting-state …
medical image registration algorithms, essential for the precise analysis of resting-state …
Merging or ensembling: integrative analysis in multiple neuroimaging studies
The aim of this paper is to systematically investigate merging and ensembling methods for
spatially varying coefficient mixed effects models (SVCMEM) in order to carry out integrative …
spatially varying coefficient mixed effects models (SVCMEM) in order to carry out integrative …
Asymmetric canonical correlation analysis of Riemannian and high-dimensional data
J Buenfil, E Lila - arXiv preprint arXiv:2404.11781, 2024 - arxiv.org
In this paper, we introduce a novel statistical model for the integrative analysis of
Riemannian-valued functional data and high-dimensional data. We apply this model to …
Riemannian-valued functional data and high-dimensional data. We apply this model to …
Statistical Inference on Large-scale and Complex Data via Gaussian Process
M Li - 2023 - deepblue.lib.umich.edu
Recent technological advancements have generated vast amounts of complex data in
various fields, including biomedical sciences such as neuroimages, electronic health …
various fields, including biomedical sciences such as neuroimages, electronic health …
Deep causal feature extraction and inference with neuroimaging genetic data
Y Yao, D Charkraborty, L Zhang, X Shen… - Statistics in …, 2023 - Wiley Online Library
Alzheimer's disease (AD) is a severe public health issue in the world. Magnetic Resonance
Imaging (MRI) offers a way to study brain differences between AD patients and healthy …
Imaging (MRI) offers a way to study brain differences between AD patients and healthy …