Florian Knoll | DeepAI

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∙ 10/25/2022

Stable deep MRI reconstruction using Generative Priors

Data-driven approaches recently achieved remarkable success in medical i...

0 Martin Zach, et al. ∙

∙ 03/23/2022

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging

Physics-driven deep learning methods have emerged as a powerful tool for...

0 Kerstin Hammernik, et al. ∙

∙ 10/27/2021

Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications

Purpose: To propose an alternating learning approach to learn the sampli...

0 Marcelo V. W. Zibetti, et al. ∙

∙ 09/08/2021

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data

Improving speed and image quality of Magnetic Resonance Imaging (MRI) vi...

0 Ruiyang Zhao, et al. ∙

∙ 02/12/2021

Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction

Recent deep learning approaches focus on improving quantitative scores o...

10 Dominik Narnhofer, et al. ∙

∙ 12/09/2020

State-of-the-art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge

Accelerating MRI scans is one of the principal outstanding problems in t...

0 Matthew J. Muckley, et al. ∙

∙ 08/10/2020

CG-SENSE revisited: Results from the first ISMRM reproducibility challenge

Purpose: The aim of this work is to shed light on the issue of reproduci...

0 Oliver Maier, et al. ∙

∙ 04/14/2020

End-to-End Variational Networks for Accelerated MRI Reconstruction

The slow acquisition speed of magnetic resonance imaging (MRI) has led t...

5 Anuroop Sriram, et al. ∙

∙ 01/06/2020

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

Purpose: To advance research in the field of machine learning for MR ima...

74 Florian Knoll, et al. ∙

∙ 04/01/2019

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction

Following the success of deep learning in a wide range of applications, ...

42 Florian Knoll, et al. ∙

∙ 11/21/2018

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Accelerating Magnetic Resonance Imaging (MRI) by taking fewer measuremen...

21 Jure Žbontar, et al. ∙

∙ 02/28/2018

Multicompartment Magnetic Resonance Fingerprinting

Magnetic resonance fingerprinting (MRF) is a technique for quantitative ...

0 Sunli Tang, et al. ∙

∙ 04/03/2017

Learning a Variational Network for Reconstruction of Accelerated MRI Data

Purpose: To allow fast and high-quality reconstruction of clinical accel...

0 Kerstin Hammernik, et al. ∙

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