Article

Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization

2021-03-19

Abstract excerpt

Large data initiatives and high-powered brain imaging analyses require the pooling of MR images acquired across multiple scanners, often using different protocols. Prospective cross-site harmonization often involves the use of a phantom or traveling subjects. However, as more datasets are becoming publicly available, there is a growing need for retrospective harmonization, pooling data from sites not originally co...

Topics

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

Identifiers and source

Literature Corpus work: ca977093-d29c-5e12-950c-3459cda2c9e5
DOI: 10.1101/2021.03.17.435892

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Style Transfer Using Generative Adversarial Networks for Multi-Site MRI HarmonizationDOI 10.1101/2021.03.17.435892Read

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

Brain MRI Technics Images Translation by Generative Adversarial NetworkSemantic proximity Read

Alzheimer’s Disease Classification Accuracy is Improved by MRI Harmonization based on Attention-Guided Generative Adversarial NetworksSemantic proximity Read

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

GUDA-Net: An End-to-End Domain Adaptation Network for Multi-Modal MRI SegmentationSemantic proximity Read

A Novel Quad-Path GAN for Bidirectional Brain Image Translation Between CT and MRISemantic proximity Read

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

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

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

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

Cross-modality image translation of 3 Tesla Magnetic Resonance Imaging to 7 Tesla using Generative Adversarial NetworksSemantic proximity Read

Edge information preserving generative adversarial network combining Transformer and multi-scale fusion for MRI modality transferSemantic proximity Read