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2020 – today
- 2023
[j24]Oren Solomon
, Rémi Patriat, Henry Braun, Tara E. Palnitkar, Steen Moeller, Edward J. Auerbach, Kâmil Ugurbil, Guillermo Sapiro, Noam Harel:
Motion robust magnetic resonance imaging via efficient Fourier aggregation. Medical Image Anal. 83: 102638 (2023)- [j23]Logan Dowdle, Luca Vizioli, Steen Moeller, Mehmet Akçakaya, Cheryl Olman, Geoffrey Ghose, Essa Yacoub, Kâmil Ugurbil:
Evaluating increases in sensitivity from NORDIC for diverse fMRI acquisition strategies. NeuroImage 270: 119949 (2023) - [c24]Merve Gülle, Ömer Burak Demirel, Logan Dowdle, Steen Moeller, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya:
Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction. CAMSAP 2023: 196-200 - [c23]Ömer Burak Demirel, Steen Moeller, Luca Vizioli, Burhaneddin Yaman, Logan Dowdle, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya:
High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning. NER 2023: 1-6 - 2022
- [j22]Chi Zhang, Steen Moeller, Omer Burak Demirel, Kâmil Ugurbil, Mehmet Akçakaya:
Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning. NeuroImage 256: 119248 (2022) - [c22]Ömer Burak Demirel, Burhaneddin Yaman, Steen Moeller, Sebastian Weingärtner, Mehmet Akçakaya:
Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI. EMBC 2022: 1472-1476 - [c21]Russell W. Chan, Royce P. Lee, Sarah Y. Wu, Emily L. Tse, Yixi Xue, Steen Moeller, Kevin C. Chan:
NOise Reduction with DIstribution Corrected (NORDIC) PCA improves signal-to-noise in rodent resting-state and optogenetic functional MRI. EMBC 2022: 1847-1850 - [c20]Chi Zhang, Davide Piccini, Ömer Burak Demirel, Gabriele Bonanno, Burhaneddin Yaman, Matthias Stuber, Steen Moeller, Mehmet Akçakaya:
Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI. ISBI 2022: 1-5 - [i13]Hongyi Gu, Burhaneddin Yaman, Steen Moeller, Il Yong Chun, Mehmet Akçakaya:
Accelerated MRI With Deep Linear Convolutional Transform Learning. CoRR abs/2204.07923 (2022) - 2021
- [j21]Steen Moeller, Pramod Kumar Pisharady, Sudhir Ramanna, Christophe Lenglet, Xiaoping Wu, Logan Dowdle, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya:
NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing. NeuroImage 226: 117539 (2021) - [c19]Zilin Deng, Burhaneddin Yaman, Chi Zhang, Steen Moeller, Mehmet Akçakaya:
Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases. ACSCC 2021: 886-889 - [c18]Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya:
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. ACSCC 2021: 890-894 - [c17]Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya:
Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations. ACSCC 2021: 895-899 - [c16]Hongyi Gu, Burhaneddin Yaman, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya:
Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science Tools. EMBC 2021: 3596-3600 - [c15]Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya:
20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. EMBC 2021: 3765-3769 - [c14]Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya:
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. ICASSP 2021: 1150-1154 - [c13]Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya:
Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR. ISBI 2021: 100-104 - [c12]Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya:
Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI. ISBI 2021: 1850-1854 - [i12]Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya:
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations. CoRR abs/2102.13066 (2021) - [i11]Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya:
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. CoRR abs/2105.04532 (2021) - [i10]Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya:
20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. CoRR abs/2105.05827 (2021) - 2020
- [j20]Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya:
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms. IEEE J. Sel. Top. Signal Process. 14(6): 1280-1291 (2020) - [j19]Ruoyun Ma, Mehmet Akçakaya, Steen Moeller, Edward J. Auerbach, Kâmil Ugurbil, Pierre-François van de Moortele:
A field-monitoring-based approach for correcting eddy-current-induced artifacts of up to the 2nd spatial order in human-connectome-project-style multiband diffusion MRI experiment at 7T: A pilot study. NeuroImage 216: 116861 (2020) - [j18]Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya:
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. IEEE Signal Process. Mag. 37(1): 128-140 (2020) - [c11]Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya:
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. EMBC 2020: 1481-1484 - [c10]Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Chi Zhang, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya:
Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework. ISBI Workshops 2020: 1-4 - [c9]Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya:
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. ISBI 2020: 921-925 - [c8]Ömer Burak Demirel, Sebastian Weingärtner, Steen Moeller, Mehmet Akçakaya:
Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction. ISBI 2020: 1954-1957 - [i9]Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya:
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. CoRR abs/2005.05550 (2020) - [i8]Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya:
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI. CoRR abs/2008.06029 (2020) - [i7]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:
A Self-Decoupled 32 Channel Receive Array for Human Brain Magnetic Resonance Imaging at 10.5T. CoRR abs/2009.07163 (2020) - [i6]Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya:
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. CoRR abs/2010.13868 (2020) - [i5]Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya:
Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR. CoRR abs/2011.09414 (2020)
2010 – 2019
- 2019
- [j17]Xiaoping Wu, Edward J. Auerbach, An T. Vu, Steen Moeller, Pierre-François van de Moortele, Essa Yacoub, Kâmil Ugurbil:
Human Connectome Project-style resting-state functional MRI at 7 Tesla using radiofrequency parallel transmission. NeuroImage 184: 396-408 (2019) - [c7]Chi Zhang, Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya:
Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI. ACSSC 2019: 1476-1480 - [c6]Ömer Burak Demirel, Sebastian Weingärtner, Steen Moeller, Mehmet Akçakaya:
Improved Regularized Reconstruction for Simultaneous Multi-Slice Cardiac MRI T1 Mapping. EUSIPCO 2019: 1-5 - [c5]Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya:
Accelerated Coronary Mri Using 3D Spirit-Raki With Sparsity Regularization. ISBI 2019: 1692-1695 - [i4]Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya:
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. CoRR abs/1904.01112 (2019) - [i3]Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya:
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. CoRR abs/1910.09116 (2019) - [i2]Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya:
Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms. CoRR abs/1912.07197 (2019) - [i1]Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya:
Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data. CoRR abs/1912.07669 (2019) - 2018
- [c4]Chi Zhang, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya:
Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural Networks. ACSSC 2018: 1636-1640 - [c3]Chi Zhang, Sebastian Weingärtner, Steen Moeller, Kâmil Ugurbil, Mehmet Akçakaya:
Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging. EIT 2018: 399-403 - [c2]Mehmet Akçakaya, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil:
Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance Imaging. IJCNN 2018: 1-6 - 2017
- [j16]An T. Vu, Keith Jamison, Matthew F. Glasser, Stephen M. Smith, Timothy S. Coalson, Steen Moeller, Edward J. Auerbach, Kâmil Ugurbil, Essa Yacoub:
Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome Project. NeuroImage 154: 23-32 (2017) - [c1]Steen Moeller, Sebastian Weingärtner, Mehmet Akçakaya:
Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI. EMBC 2017: 1473-1476 - 2016
- [j15]Nick Todd, Steen Moeller, Edward J. Auerbach, Essa Yacoub, Guillaume Flandin, Nikolaus Weiskopf:
Evaluation of 2D multiband EPI imaging for high-resolution, whole-brain, task-based fMRI studies at 3T: Sensitivity and slice leakage artifacts. NeuroImage 124: 32-42 (2016) - [j14]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:
Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project. NeuroImage 134: 396-409 (2016) - 2015
- [j13]Liyong Chen, An T. Vu, Junqian Xu, Steen Moeller, Kâmil Ugurbil, Essa Yacoub, David A. Feinberg:
Evaluation of highly accelerated simultaneous multi-slice EPI for fMRI. NeuroImage 104: 452-459 (2015) - [j12]Xiufeng Li, Dingxin Wang, Edward J. Auerbach, Steen Moeller, Kâmil Ugurbil, Gregory J. Metzger:
Theoretical and experimental evaluation of multi-band EPI for high-resolution whole brain pCASL Imaging. NeuroImage 106: 170-181 (2015) - [j11]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:
Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data. NeuroImage 111: 300-311 (2015) - [j10]Yi Wang, Steen Moeller, Xiufeng Li, An T. Vu, Kate Krasileva, Kâmil Ugurbil, Essa Yacoub, Danny J. J. Wang:
Simultaneous multi-slice Turbo-FLASH imaging with CAIPIRINHA for whole brain distortion-free pseudo-continuous arterial spin labeling at 3 and 7 T. NeuroImage 113: 279-288 (2015) - [j9]An T. Vu, Edward J. Auerbach, Christophe Lenglet, Steen Moeller, Stamatios N. Sotiropoulos, Saâd Jbabdi, Jesper L. R. Andersson, Essa Yacoub, Kâmil Ugurbil:
High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project. NeuroImage 122: 318-331 (2015) - 2014
- [j8]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:
ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging. NeuroImage 95: 232-247 (2014) - 2013
- [j7]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:
Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project. NeuroImage 80: 80-104 (2013) - [j6]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:
Advances in diffusion MRI acquisition and processing in the Human Connectome Project. NeuroImage 80: 125-143 (2013) - [j5]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:
Resting-state fMRI in the Human Connectome Project. NeuroImage 80: 144-168 (2013) - [j4]Junqian Xu, Steen Moeller, Edward J. Auerbach, John P. Strupp, Stephen M. Smith, David A. Feinberg, Essa Yacoub, Kâmil Ugurbil:
Evaluation of slice accelerations using multiband echo planar imaging at 3 T. NeuroImage 83: 991-1001 (2013) - 2012
- [j3]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:
The Human Connectome Project: A data acquisition perspective. NeuroImage 62(4): 2222-2231 (2012)
2000 – 2009
- 2009
- [j2]Pierre-François van de Moortele, Edward J. Auerbach, Cheryl Olman, Essa Yacoub, Kâmil Ugurbil, Steen Moeller:
T1 weighted brain images at 7 Tesla unbiased for Proton Density, T2⁎ contrast and RF coil receive B1 sensitivity with simultaneous vessel visualization. NeuroImage 46(2): 432-446 (2009) - 2006
- [j1]Noam Harel, Joseph Lin, Steen Moeller, Kâmil Ugurbil, Essa Yacoub:
Combined imaging-histological study of cortical laminar specificity of fMRI signals. NeuroImage 29(3): 879-887 (2006)
Coauthor Index
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