Article

Counterfactual MRI Generation with Denoising Diffusion Models for Interpretable Alzheimer’s Disease Effect Detection

2024-02-08

Abstract excerpt

Generative AI models have recently achieved mainstream attention with the advent of powerful approaches such as stable diffusion, DALL-E and MidJourney. The underlying breakthrough generative mechanism of denoising diffusion modeling can generate high quality synthetic images and can learn the underlying distribution of complex, high-dimensional data. Recent research has begun to extend these models to medical and...

Topics

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

Identifiers and source

Literature Corpus work: 30618d5d-1b61-502f-97c9-9edefc2484ef
DOI: 10.1101/2024.02.05.578983

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Counterfactual MRI Generation with Denoising Diffusion Models for Interpretable Alzheimer’s Disease Effect DetectionDOI 10.1101/2024.02.05.578983Read

Evaluating Synthetic Diffusion MRI Maps created with Diffusion Denoising Probabilistic ModelsSemantic proximity Read

Early Detection of Alzheimer’s Disease Using Generative Models: A Review of GANs and Diffusion Models in Medical ImagingSemantic proximity Read

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

MRI2PET: Realistic PET Image Synthesis from MRI for Automated Inference of Brain Atrophy and Alzheimer’sSemantic proximity Read

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

Using Diffusion Transformers to Generate Synthetic Diffusion Scalar Maps for Data AugmentationSemantic proximity Read

Comparative Analysis of Diffusion Models for Enhancing Alzheimer’s Disease ClassificationSemantic proximity Read

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

Denoising diffusion model for increased performance of detecting structural heart diseaseSemantic proximity Read

Enhancing MR imaging driven Alzheimer’s disease classification performance using generative adversarial learningSemantic proximity Read

Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired IndividualsSemantic proximity Read

Advanced image generation for cancer using diffusion modelsSemantic proximity Read