Article

Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Generative Adversarial Networks and Irregularity Map

2019-06-06

Abstract excerpt

We propose a Generative Adversarial Network (GAN) model named Disease Evolution Predictor GAN (DEP-GAN) to predict the evolution (i.e., progression and regression) of White Matter Hyperintensities (WMH) in small vessel disease. In this study, the evolution of WMH is represented by the “Disease Evolution Map” (DEM) produced by subtracting irregularity map (IM) images from two time points: baseline and follow-up. DE...

Topics

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

Identifiers and source

Literature Corpus work: c87db4a9-5aab-5cba-b379-47f4f86af692
DOI: 10.1101/662692

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Generative Adversarial Networks and Irregularity MapDOI 10.1101/662692Read

Automatic Spatial Estimation of White Matter Hyperintensities Evolution in Brain MRI using Disease Evolution Predictor Deep Neural NetworksSemantic proximity Read

Image-to-image generative adversarial networks for synthesizing perfusion parameter maps from DSC-MR images in cerebrovascular diseaseSemantic proximity Read

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

MRI-GAN: MRI and Tissues Transfer Using Generative Adversarial Networks<strong> </strong>Semantic proximity Read

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

Does Generative Adversarial Network Ensure Diversity in Data? Morphologic Evaluation of Synthetic Isocitrate Dehydrogenase-Mutant Glioblastomas in A Clinical Diagnostic ModelSemantic proximity Read

Generative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant typeSemantic proximity Read

High-fidelity fast volumetric brain MRI using synergistic wave-controlled aliasing in parallel imaging and a hybrid denoising generative adversarial networkSemantic proximity Read

GAN-MAT: Generative Adversarial Network-based Microstructural Profile Covariance Analysis ToolboxSemantic proximity Read

Generating Synthetic MR Perfusion Maps from DWI and FLAIR in Acute Ischemic Stroke: Development and External Validation of a Deep Learning ModelSemantic proximity Read

Transfer Learning using Generative Adversarial Networks for MRI Brain Image SegmentationSemantic proximity Read

Brain MRI Technics Images Translation by Generative Adversarial NetworkSemantic proximity Read