Steen Moeller - RankMe

62 papers B 1Misc 3Journal 37Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Phase-Adaptive Averaging and Score-Based Denoising for Inverse Problems in Diffusion Imaging. IEEECONF Toygan Kilic, Yasar Utku Alçalar, Steen Moeller, Mehmet Akçakaya
2023	J	`jnl`	Evaluating increases in sensitivity from NORDIC for diverse fMRI acquisition strategies. NeuroImage Logan Dowdle, Luca Vizioli, Steen Moeller, Mehmet Akçakaya, Cheryl Olman, Geoffrey Ghose, Essa Yacoub, Kâmil Ugurbil
2023	—	`conf`	High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning. NER Ömer Burak Demirel, Steen Moeller, Luca Vizioli, Burhaneddin Yaman, Logan Dowdle, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya
2023	—	`conf`	Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction. CAMSAP Merve Gülle, Ömer Burak Demirel, Logan Dowdle, Steen Moeller, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya
2023	J	`jnl`	Motion robust magnetic resonance imaging via efficient Fourier aggregation. Medical Image Anal. Oren Solomon, Rémi Patriat, Henry Braun, Tara E. Palnitkar, Steen Moeller, Edward J. Auerbach, Kâmil Ugurbil, Guillermo Sapiro, Noam Harel
2022	J	`jnl`	Accelerated MRI With Deep Linear Convolutional Transform Learning. CoRR Hongyi Gu, Burhaneddin Yaman, Steen Moeller, Il Yong Chun, Mehmet Akçakaya
2022	—	`conf`	Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI. ISBI Chi Zhang, Davide Piccini, Ömer Burak Demirel, Gabriele Bonanno, Burhaneddin Yaman, Matthias Stuber, Steen Moeller, Mehmet Akçakaya
2022	—	`conf`	NOise Reduction with DIstribution Corrected (NORDIC) PCA improves signal-to-noise in rodent resting-state and optogenetic functional MRI. EMBC Russell W. Chan, Royce P. Lee, Sarah Y. Wu, Emily L. Tse, Yixi Xue, Steen Moeller, Kevin C. Chan
2022	J	`jnl`	Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning. NeuroImage Chi Zhang, Steen Moeller, Omer Burak Demirel, Kâmil Ugurbil, Mehmet Akçakaya
2022	—	`conf`	Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI. EMBC Ömer Burak Demirel, Burhaneddin Yaman, Steen Moeller, Sebastian Weingärtner, Mehmet Akçakaya
2021	—	`conf`	20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. EMBC Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
2021	J	`jnl`	20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. CoRR Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
2021	—	`conf`	Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science Tools. EMBC Hongyi Gu, Burhaneddin Yaman, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya
2021	—	`conf`	Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases. ACSCC Zilin Deng, Burhaneddin Yaman, Chi Zhang, Steen Moeller, Mehmet Akçakaya
2021	—	`conf`	Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI. ISBI Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2021	—	`conf`	Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. ACSCC Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
2021	J	`jnl`	Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. CoRR Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
2021	Misc	`conf`	Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. ICASSP Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya
2021	—	`conf`	Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations. ACSCC Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
2021	J	`jnl`	NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing. NeuroImage Steen Moeller, Pramod Kumar Pisharady, Sudhir Ramanna, Christophe Lenglet, Xiaoping Wu, Logan Dowdle, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya
2021	J	`jnl`	On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations. CoRR Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
2021	—	`conf`	Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR. ISBI Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya
2020	J	`jnl`	A Self-Decoupled 32 Channel Receive Array for Human Brain Magnetic Resonance Imaging at 10.5T. CoRR Nader Tavaf, Russell Luke Lagore, Steve Jungst, Shajan Gunamony, Jerahmie Radder, Andrea N. Grant, Steen Moeller, Edward J. Auerbach, Kâmil Ugurbil, Gregor Adriany, Pierre-François van de Moortele
2020	J	`jnl`	A field-monitoring-based approach for correcting eddy-current-induced artifacts of up to the 2 NeuroImage Ruoyun Ma, Mehmet Akçakaya, Steen Moeller, Edward J. Auerbach, Kâmil Ugurbil, Pierre-François van de Moortele
2020	J	`jnl`	Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. IEEE Signal Process. Mag. Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
2020	J	`jnl`	Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms. IEEE J. Sel. Top. Signal Process. Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya
2020	—	`conf`	High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. EMBC Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya
2020	J	`jnl`	High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. CoRR Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya
2020	—	`conf`	Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction. ISBI Ömer Burak Demirel, Sebastian Weingärtner, Steen Moeller, Mehmet Akçakaya
2020	J	`jnl`	Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya
2020	J	`jnl`	Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2020	—	`conf`	Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework. ISBI Workshops Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Chi Zhang, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya
2020	—	`conf`	Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. ISBI Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2020	J	`jnl`	Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR. CoRR Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya
2019	—	`conf`	Accelerated Coronary Mri Using 3D Spirit-Raki With Sparsity Regularization. ISBI Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya
2019	J	`jnl`	Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. CoRR Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
2019	J	`jnl`	Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms. CoRR Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya
2019	J	`jnl`	Human Connectome Project-style resting-state functional MRI at 7 Tesla using radiofrequency parallel transmission. NeuroImage Xiaoping Wu, Edward J. Auerbach, An T. Vu, Steen Moeller, Pierre-François van de Moortele, Essa Yacoub, Kâmil Ugurbil
2019	—	`conf`	Improved Regularized Reconstruction for Simultaneous Multi-Slice Cardiac MRI T1 Mapping. EUSIPCO Ömer Burak Demirel, Sebastian Weingärtner, Steen Moeller, Mehmet Akçakaya
2019	Misc	`conf`	Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI. ACSSC Chi Zhang, Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya
2019	J	`jnl`	Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2019	J	`jnl`	Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2018	Misc	`conf`	Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural Networks. ACSSC Chi Zhang, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya
2018	—	`conf`	Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging. EIT Chi Zhang, Sebastian Weingärtner, Steen Moeller, Kâmil Ugurbil, Mehmet Akçakaya
2018	B	`conf`	Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance Imaging. IJCNN Mehmet Akçakaya, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil
2017	—	`conf`	Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI. EMBC Steen Moeller, Sebastian Weingärtner, Mehmet Akçakaya
2017	J	`jnl`	Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome Project. NeuroImage An T. Vu, Keith Jamison, Matthew F. Glasser, Stephen M. Smith, Timothy S. Coalson, Steen Moeller, Edward J. Auerbach, Kâmil Ugurbil, Essa Yacoub
2016	J	`jnl`	Evaluation of 2D multiband EPI imaging for high-resolution, whole-brain, task-based fMRI studies at 3T: Sensitivity and slice leakage artifacts. NeuroImage Nick Todd, Steen Moeller, Edward J. Auerbach, Essa Yacoub, Guillaume Flandin, Nikolaus Weiskopf
2016	J	`jnl`	Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project. NeuroImage Stamatios N. Sotiropoulos, Moisés Hernández-Fernández, An T. Vu, Jesper L. R. Andersson, Steen Moeller, Essa Yacoub, Christophe Lenglet, Kâmil Ugurbil, Timothy Edward John Behrens, Saâd Jbabdi
2015	J	`jnl`	Evaluation of highly accelerated simultaneous multi-slice EPI for fMRI. NeuroImage Liyong Chen, An T. Vu, Junqian Xu, Steen Moeller, Kâmil Ugurbil, Essa Yacoub, David A. Feinberg
2015	J	`jnl`	Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data. NeuroImage Peter V. Kochunov, Neda Jahanshad, Daniel S. Marcus, Anderson M. Winkler, Emma Sprooten, Thomas E. Nichols, Susan N. Wright, L. Elliot Hong, Binish Patel, Timothy Behrens, Saâd Jbabdi, Jesper L. R. Andersson, Christophe Lenglet, Essa Yacoub, Steen Moeller, Eddie Auerbach, Kâmil Ugurbil, Stamatios N. Sotiropoulos, Rachel M. Brouwer, Bennett A. Landman, Hervé Lemaître, Anouk den Braber, Marcel P. Zwiers, Stuart J. Ritchie, Kimm van Hulzen, Laura Almasy, Joanne E. Curran, Greig I. de Zubicaray, Ravi Duggirala, Peter T. Fox
2015	J	`jnl`	High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project. NeuroImage An T. Vu, Edward J. Auerbach, Christophe Lenglet, Steen Moeller, Stamatios N. Sotiropoulos, Saâd Jbabdi, Jesper L. R. Andersson, Essa Yacoub, Kâmil Ugurbil
2015	J	`jnl`	Simultaneous multi-slice Turbo-FLASH imaging with CAIPIRINHA for whole brain distortion-free pseudo-continuous arterial spin labeling at 3 and 7 T. NeuroImage Yi Wang, Steen Moeller, Xiufeng Li, An T. Vu, Kate Krasileva, Kâmil Ugurbil, Essa Yacoub, Danny J. J. Wang
2015	J	`jnl`	Theoretical and experimental evaluation of multi-band EPI for high-resolution whole brain pCASL Imaging. NeuroImage Xiufeng Li, Dingxin Wang, Edward J. Auerbach, Steen Moeller, Kâmil Ugurbil, Gregory J. Metzger
2014	J	`jnl`	ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging. NeuroImage Ludovica Griffanti, Gholamreza Salimi Khorshidi, Christian F. Beckmann, Edward J. Auerbach, Gwenaëlle Douaud, Claire E. Sexton, Eniko Zsoldos, Klaus P. Ebmeier, Nicola Filippini, Clare E. Mackay, Steen Moeller, Junqian Xu, Essa Yacoub, Giuseppe Baselli, Kâmil Ugurbil, Karla L. Miller, Stephen M. Smith
2013	J	`jnl`	Advances in diffusion MRI acquisition and processing in the Human Connectome Project. NeuroImage Stamatios N. Sotiropoulos, Saâd Jbabdi, Junqian Xu, Jesper L. R. Andersson, Steen Moeller, Edward J. Auerbach, Matthew F. Glasser, Moisés Hernández, Guillermo Sapiro, Mark Jenkinson, David A. Feinberg, Essa Yacoub, Christophe Lenglet, David C. Van Essen, Kâmil Ugurbil, Timothy Edward John Behrens
2013	J	`jnl`	Evaluation of slice accelerations using multiband echo planar imaging at 3 T. NeuroImage Junqian Xu, Steen Moeller, Edward J. Auerbach, John P. Strupp, Stephen M. Smith, David A. Feinberg, Essa Yacoub, Kâmil Ugurbil
2013	J	`jnl`	Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project. NeuroImage Kâmil Ugurbil, Junqian Xu, Edward J. Auerbach, Steen Moeller, An T. Vu, Julio Martin Duarte-Carvajalino, Christophe Lenglet, Xiaoping Wu, Sebastian Schmitter, Pierre-François van de Moortele, John P. Strupp, Guillermo Sapiro, Federico De Martino, Dingxin Wang, Noam Harel, Michael Garwood, Liyong Chen, David A. Feinberg, Stephen M. Smith, Karla L. Miller, Stamatios N. Sotiropoulos, Saâd Jbabdi, Jesper L. R. Andersson, Timothy Edward John Behrens, Matthew F. Glasser, David C. Van Essen, Essa Yacoub
2013	J	`jnl`	Resting-state fMRI in the Human Connectome Project. NeuroImage Stephen M. Smith, Christian F. Beckmann, Jesper L. R. Andersson, Edward J. Auerbach, Janine D. Bijsterbosch, Gwenaëlle Douaud, Eugene P. Duff, David A. Feinberg, Ludovica Griffanti, Michael P. Harms, Michael Kelly, Timothy O. Laumann, Karla L. Miller, Steen Moeller, Steven E. Petersen, Jonathan D. Power, Gholamreza Salimi Khorshidi, Abraham Z. Snyder, An T. Vu, Mark William Woolrich, Junqian Xu, Essa Yacoub, Kâmil Ugurbil, David C. Van Essen, Matthew F. Glasser
2012	J	`jnl`	The Human Connectome Project: A data acquisition perspective. NeuroImage David C. Van Essen, Kâmil Ugurbil, Edward J. Auerbach, Deanna M. Barch, T. E. J. Behrens, R. Bucholz, Acer Chang, Liyong Chen, Maurizio Corbetta, Sandra W. Curtiss, Stefania Della Penna, David A. Feinberg, Matthew F. Glasser, Noam Harel, A. C. Heath, Linda J. Larson-Prior, Daniel S. Marcus, Georgios Michalareas, Steen Moeller, Robert Oostenveld, Steven E. Petersen, Fred W. Prior, Bradley L. Schlaggar, Stephen M. Smith, Abraham Z. Snyder, Junqian Xu, Essa Yacoub
2009	J	`jnl`	T NeuroImage Pierre-François van de Moortele, Edward J. Auerbach, Cheryl Olman, Essa Yacoub, Kâmil Ugurbil, Steen Moeller
2006	J	`jnl`	Combined imaging-histological study of cortical laminar specificity of fMRI signals. NeuroImage Noam Harel, Joseph Lin, Steen Moeller, Kâmil Ugurbil, Essa Yacoub