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20192023
most citedTechnical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks

17 citations · 56 across the 13 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

eess.IV2021★ 5 cited

VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction

Arjun D Desai, Beliz Gunel, Batu M Ozturkler +6

Deep neural networks have enabled improved image quality and fast inference times for various inverse problems, including accelerated magnetic resonance imaging (MRI) reconstructio…

eess.IV2021★ 2 cited

Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning

Arjun D Desai, Batu M Ozturkler, Christopher M Sandino +7

Deep learning (DL) has shown promise for faster, high quality accelerated MRI reconstruction. However, supervised DL methods depend on extensive amounts of fully-sampled (labeled)…