Article

RAVEN: Robust, generalizable, multi-resolution structural MRI upsampling using Autoencoders

2025-09-24

Abstract excerpt

Due to their high inter-tissue contrast, Magnetic resonance images (MRIs) can reflect neuroanatomical changes related to healthy aging and pathological processes. However, standard brain MRI acquisition resolutions hinder the ability to measure the more subtle changes that occur in early disease stages. Increasing the resolution during acquisition poses multiple challenges, including increased noise, higher acquis...

Topics

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

Identifiers and source

Literature Corpus work: 5010e765-1884-55ad-b104-af7e37468a39
DOI: 10.1101/2025.09.22.677945

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

RAVEN: Robust, generalizable, multi-resolution structural MRI upsampling using AutoencodersDOI 10.1101/2025.09.22.677945Read

Towards robust and generalizable super-resolution generative adversarial networks for magnetic resonance neuroimaging: a cross-population approachSemantic proximity Read

DDASR: Domain-Distance Adapted Super-Resolution Reconstruction of MR Brain ImagesSemantic proximity Read

Leveraging Deep Learning to Enhance MRI for Brain DisordersSemantic proximity Read

Few-Shot Deployment of Pretrained MRI Transformers in Brain Imaging TasksSemantic proximity Read

UltimateSynth: MRI Physics for Pan-Contrast AISemantic 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

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

Resolution Enhancement for Compressed Sensing at 1.5T MRI through Deep Learning: Application to Quantitative Volume Measurement of Human Brain StructuresSemantic proximity Read

A domain-agnostic MR reconstruction framework using a randomly weighted neural networkSemantic proximity Read

Multi-contrast high-field quality image synthesis for portable low-field MRI using generative adversarial networks and paired dataSemantic proximity Read

Deep learning super-resolution of paediatric ultra-low-field MRI without paired high-field scansSemantic proximity Read

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