Steen Moeller

According to our database1, Steen Moeller authored at least 38 papers between 2006 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues.
IEEE Signal Process. Mag., 2020

A field-monitoring-based approach for correcting eddy-current-induced artifacts of up to the 2<sup>nd</sup> spatial order in human-connectome-project-style multiband diffusion MRI experiment at 7T: A pilot study.
NeuroImage, 2020

Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms.
IEEE J. Sel. Top. Signal Process., 2020

Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR.
CoRR, 2020

Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking.
CoRR, 2020

A Self-Decoupled 32 Channel Receive Array for Human Brain Magnetic Resonance Imaging at 10.5T.
CoRR, 2020

Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI.
CoRR, 2020

Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Human Connectome Project-style resting-state functional MRI at 7 Tesla using radiofrequency parallel transmission.
NeuroImage, 2019

Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data.
CoRR, 2019

Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms.
CoRR, 2019

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction.
CoRR, 2019

Accelerated Coronary Mri Using 3D Spirit-Raki With Sparsity Regularization.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Improved Regularized Reconstruction for Simultaneous Multi-Slice Cardiac MRI T1 Mapping.
Proceedings of the 27th European Signal Processing Conference, 2019

Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance Imaging.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging.
Proceedings of the 2018 IEEE International Conference on Electro/Information Technology, 2018

Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural Networks.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome Project.
NeuroImage, 2017

Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Evaluation of 2D multiband EPI imaging for high-resolution, whole-brain, task-based fMRI studies at 3T: Sensitivity and slice leakage artifacts.
NeuroImage, 2016

Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project.
NeuroImage, 2016

2015
Simultaneous multi-slice Turbo-FLASH imaging with CAIPIRINHA for whole brain distortion-free pseudo-continuous arterial spin labeling at 3 and 7 T.
NeuroImage, 2015

High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project.
NeuroImage, 2015

Theoretical and experimental evaluation of multi-band EPI for high-resolution whole brain pCASL Imaging.
NeuroImage, 2015

Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data.
NeuroImage, 2015

Evaluation of highly accelerated simultaneous multi-slice EPI for fMRI.
NeuroImage, 2015

2014
ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging.
NeuroImage, 2014

2013
Evaluation of slice accelerations using multiband echo planar imaging at 3 T.
NeuroImage, 2013

Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.
NeuroImage, 2013

Advances in diffusion MRI acquisition and processing in the Human Connectome Project.
NeuroImage, 2013

Resting-state fMRI in the Human Connectome Project.
NeuroImage, 2013

2012
The Human Connectome Project: A data acquisition perspective.
NeuroImage, 2012

2009
T<sub>1</sub> weighted brain images at 7 Tesla unbiased for Proton Density, T<sub>2</sub><sup>⁎</sup> contrast and RF coil receive B<sub>1</sub> sensitivity with simultaneous vessel visualization.
NeuroImage, 2009

2006
Combined imaging-histological study of cortical laminar specificity of fMRI signals.
NeuroImage, 2006


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