Article

Generative Editing via Convolutional Obscuring (GECO): A Generative Adversarial Network for MRI de-artifacting

2022-09-27

Abstract excerpt

Magnetic resonance imaging (MRI) is the dominant diagnostic technique to non-invasively image the brain, and deep learning has proven a powerful tool for analyzing these images. However, machine learning models trained on such MRI data have empirically shown an ability to detect complex and invisible artifacts, such as which type of machine a scan was taken from to a high degree of accuracy. Such artifacts are pot...

Topics

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

Identifiers and source

Literature Corpus work: da49db2c-a3ff-52ed-a675-3889834c635b
DOI: 10.1101/2022.09.21.22280206

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Generative Editing via Convolutional Obscuring (GECO): A Generative Adversarial Network for MRI de-artifactingDOI 10.1101/2022.09.21.22280206Read

Brain MRI Technics Images Translation by Generative Adversarial NetworkSemantic proximity Read

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

Generative Adversarial Networks (GANs) for Medical Image Synthesis and Data AugmentationSemantic proximity Read

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

Comparative Evaluation of U-Net-Based Conditioned Diffusion Model and Cycle-GAN for Unpaired CT-MRI Brain Image Synthesis with XAI ValidationSemantic proximity Read

Quality assessment of anatomical MRI images from Generative Adversarial Networks: human assessment and image quality metricsSemantic proximity Read

Dual-Stream Contrastive Latent Learning GAN for Brain Image Synthesis and Tumor ClassificationSemantic proximity Read

GAN-Based Brain MRI-to-CT Image Synthesis: A Comparative Review of Cross-Modality Translation MethodsSemantic proximity Read

CT-to-MRI Synthesis with Dual CycleGAN: Advancing Radiotherapy Planning in Brain Glioblastoma MultiformSemantic proximity Read

Style Transfer Generative Adversarial Networks to Harmonize Multi-Site MRI to a Single Reference Image to Avoid Over-CorrectionSemantic proximity Read

Style Transfer Using Generative Adversarial Networks for Multi-Site MRI HarmonizationSemantic proximity Read