Article

ReMiND: Recovery of Missing Neuroimaging using Diffusion Models with Application to Alzheimer’s Disease

2023-08-21

Abstract excerpt

<h4>Objective</h4> Missing data is a significant challenge in medical research. In longitudinal studies of Alzheimer’s disease (AD) where structural magnetic resonance imaging (MRI) is collected from individuals at multiple time points, participants may miss a study visit or drop out. Additionally, technical issues such as participant motion in the scanner may result in unusable imaging data at designated visits....

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 05bc49df-7c1a-573d-b553-160b35d1ef94
DOI: 10.1101/2023.08.16.23294169

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

ReMiND: Recovery of Missing Neuroimaging using Diffusion Models with Application to Alzheimer’s DiseaseDOI 10.1101/2023.08.16.23294169Read

Machine Learning for Missing Data Imputation in Alzheimer’s Research: Predicting Medial Temporal Lobe FlexibilitySemantic proximity Read

Diffusion model enables quantitative CBF analysis of Alzheimer’s DiseaseSemantic proximity Read

From Structure to Function and Back Again: A GAN-Guided Diffusion Framework for Generating Clinically Meaningful Multimodal Neuroimaging DataSemantic proximity Read

Longitudinal Structural MRI Data Prediction in Nondemented and Demented Older Adults via Generative Adversarial Convolutional NetworkSemantic proximity Read

Virtual connectomic datasets in Alzheimer’s Disease and aging using whole-brain network dynamics modellingSemantic proximity Read

Conditional Latent Diffusion for Synthetic Brain MRI in Alzheimer’s Disease: A Preprocessing-Focused PipelineSemantic proximity Read

Autoencoder Imputation of Missing Heterogeneous Data for Alzheimer's Disease ClassificationSemantic proximity Read

Counterfactual MRI Generation with Denoising Diffusion Models for Interpretable Alzheimer’s Disease Effect DetectionSemantic proximity Read

Forecasting Alzheimer’s Disease Progression via Identity-preserved Denoising Diffusion Generative Adversarial NetworkSemantic proximity Read

Automatic segmentation of medial temporal lobe subregions in multi-scanner, multi-modality magnetic resonance imaging of variable qualitySemantic proximity Read

Denoising 7T Structural MRI with Conditional Generative Diffusion ModelsSemantic proximity Read

CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging PatternsSemantic proximity Read