Steen Moeller
Orcid: 0000-0003-1698-7260
According to our database1,
Steen Moeller
authored at least 55 papers
between 2006 and 2023.
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Bibliography
2023
Evaluating increases in sensitivity from NORDIC for diverse fMRI acquisition strategies.
NeuroImage, April, 2023
Medical Image Anal., 2023
High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
2022
Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning.
NeuroImage, 2022
Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
NOise Reduction with DIstribution Corrected (NORDIC) PCA improves signal-to-noise in rodent resting-state and optogenetic functional MRI.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing.
NeuroImage, 2021
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations.
CoRR, 2021
Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking.
Proceedings of the IEEE International Conference on Acoustics, 2021
Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science Tools.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
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
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
CoRR, 2019
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
NeuroImage, 2015
2014
ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging.
NeuroImage, 2014
2013
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
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
NeuroImage, 2006