Buchumschlag

Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis

Fuente: Wiley Open Access

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Yimo Zhang, Jon A. Steingrimsson, Akhil Ambekar, Hwamee Oh, Ani Eloyan
Format:	Artículo Open Access
Veröffentlicht:	Wiley 2025
Schlagworte:	Statistics in Medicine
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Geometric Modeling of Hippocampal Tau Deposition: A Surface-Based Framework for Covariate Analysis and Off-Target Contamination Detection
von: Wang, Liangkang, et al.
Veröffentlicht: (2025)

TRAECR: A Tool for Preprocessing Positron Emission Tomography Imaging for Statistical Modeling
von: Ambekar, Akhil, et al.
Veröffentlicht: (2025)

Unsupervised Sparse Multi‐Task Learning With Application to Alzheimer's Disease
von: Hao Chen, et al.
Veröffentlicht: (2026)

Two‐Step Error‐Controlling Classifiers With Application to Cost‐Effective Disease Diagnosis
von: Kehao Zhu, et al.
Veröffentlicht: (2026)

Single‐Index Measurement Error Jump Regression Model in Alzheimer's Disease Studies
von: Yan‐Yong Zhao, et al.
Veröffentlicht: (2025)

Deep Neural Network‐Based Accelerated Failure Time Models Using Rank Loss
von: Gwangsu Kim, et al.
Veröffentlicht: (2024)

Integrative Multi‐Omics and Multivariate Longitudinal Data Analysis for Dynamic Risk Estimation in Alzheimer's Disease
von: Yuanyuan Guo, et al.
Veröffentlicht: (2025)

Supervised Functional Principal Component Analysis Under the Mixture Cure Rate Model: An Application to Alzheimer'S Disease
von: Jiahui Feng, et al.
Veröffentlicht: (2025)

Weighted Expectile Regression Neural Networks for Right Censored Data
von: Feipeng Zhang, et al.
Veröffentlicht: (2024)

Comparison of Methods for Sensitivity Analysis of Heterogeneous Treatment Effects in Observational Studies and Application to Alzheimer's Disease and Cognitive Decline
von: Jingqi Duan, et al.
Veröffentlicht: (2026)

A Functional Joint Model for Survival and Multivariate Sparse Functional Data in Multi‐Cohort Alzheimer's Disease Study
von: Wenyi Wang, et al.
Veröffentlicht: (2026)

A Novel Bayesian Spatio‐Temporal Surveillance Metric to Predict Emerging Infectious Disease Areas of High Disease Risk
von: Joanne Kim, et al.
Veröffentlicht: (2024)

Unlocking Cognitive Analysis Potential in Alzheimer's Disease Clinical Trials: Investigating Hierarchical Linear Models for Analyzing Novel Measurement Burst Design Data
von: Guoqiao Wang, et al.
Veröffentlicht: (2024)

Specification of Estimands for Complex Disease Processes Using Multistate Models and Utility Functions
von: Alexandra Bühler, et al.
Veröffentlicht: (2025)

Ordinal Sparse Neural Networks for Modeling Gene‐ and Imaging‐Environment Interactions
von: Jiajing Xue, et al.
Veröffentlicht: (2025)

A Surrogate‐Calibrated Updating Method for Logistic Regression With Missing Covariates
von: Jooha Oh, et al.
Veröffentlicht: (2026)

Bayesian Prediction of Event Times Using Mixture Model for Blinded Randomized Controlled Trials
von: Jingyan Fu, et al.
Veröffentlicht: (2025)

Structured Nonlinear Cure Model With Deep Neural Networks for High‐Dimensional Survival Analysis
von: Xingdong Feng, et al.
Veröffentlicht: (2026)

Overview and Practical Recommendations on Using Shapley Values for Identifying Predictive Biomarkers via CATE Modeling
von: David Svensson, et al.
Veröffentlicht: (2026)

Combining Biomarkers to Improve Diagnostic Accuracy in Detecting Diseases With Group‐Tested Data
von: Jin Yang, et al.
Veröffentlicht: (2024)

Integrating Omics and Pathological Imaging Data for Cancer Prognosis via a Deep Neural Network‐Based Cox Model
von: Jingmao Li, et al.
Veröffentlicht: (2026)

Network Meta‐Analysis With Individual Participant‐Level Data of Time‐to‐Event Outcomes Using Cox Regression
von: Kaiyuan Hua, et al.
Veröffentlicht: (2025)

Separable and controlled direct effects for competing events: Estimation of component specific effects on sickness absence
von: Niklas N. Maltzahn, et al.
Veröffentlicht: (2024)

Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies
von: Dadong Zhang, et al.
Veröffentlicht: (2024)

A Personalized Predictive Model That Jointly Optimizes Discrimination and Calibration
von: Tatiana Krikella, et al.
Veröffentlicht: (2025)

Bayesian Network Meta‐Analysis With One or Two Continuous Outcomes Measured at Multiple Time Points Using Gaussian Random Walks With Drift
von: Pai‐Shan Cheng, et al.
Veröffentlicht: (2026)

Combining Straight‐Line and Map‐Based Distances to Investigate the Connection Between Proximity to Healthy Foods and Disease
von: Sarah C. Lotspeich, et al.
Veröffentlicht: (2025)

A Causal Mediation Approach to Account for Interaction of Treatment and Intercurrent Events: Using Hypothetical Strategy
von: Kunpeng Wu, et al.
Veröffentlicht: (2024)

Dynamic Treatment Regimes on Dyadic Networks
von: Marizeh Mussavi Rizi, et al.
Veröffentlicht: (2024)

Correction to “Using principal stratification in analysis of clinical trials”
von: Ilya Lipkovich, et al.
Veröffentlicht: (2024)

Using Individualized Treatment Effects to Assess Treatment Effect Heterogeneity
von: Konstantinos Sechidis, et al.
Veröffentlicht: (2025)

Spatial Individual‐Level Models for Transmission Dynamics of Seasonal Infectious Diseases
von: Amin Abed, et al.
Veröffentlicht: (2026)

Modeling Chronic Disease Mortality by Methods From Accelerated Life Testing
von: Marina Zamsheva, et al.
Veröffentlicht: (2024)

Instability of the AUROC of Clinical Prediction Models
von: Florian D. van Leeuwen, et al.
Veröffentlicht: (2025)

Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior
von: Zifei Han, et al.
Veröffentlicht: (2025)

Variant‐Specific Mendelian Risk Prediction Model
von: Julie‐Alexia Dias, et al.
Veröffentlicht: (2025)

A Bayesian Mixture of Exponential Family Factor Models for Uncovering Disease Progression Subtypes
von: Kai Kang, et al.
Veröffentlicht: (2025)

Multi‐Model Ensembles in Infectious Disease and Public Health: Methods, Interpretation, and Implementation in R
von: Li Shandross, et al.
Veröffentlicht: (2026)

Predicting Individual Risk of Advanced Adenoma Based on the Interval‐Censored Recurrent Adenoma Event and Informative Screening Time
von: Yipeng Wei, et al.
Veröffentlicht: (2026)

Model Validation for Survival Analysis by Smoothed Predictive Likelihood
von: Chengyuan Lu, et al.
Veröffentlicht: (2025)