Combined imaging-histological study of cortical laminar specificity of fMRI signals. - Noam Harel; Joseph Lin; Steen Moeller; Kâmil Ugurbil; Essa Yacoub (NeuroImage, 2006)

T1 weighted brain images at 7 Tesla unbiased for Proton Density, T2⁎ contrast and RF coil receive B1 sensitivity with simultaneous vessel visualization. - Pierre-François van de Moortele; Edward J. Auerbach; Cheryl Olman; Essa Yacoub; Kâmil Ugurbil; Steen Moeller (NeuroImage, 2009)

The Human Connectome Project: A data acquisition perspective. - 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; et al. (NeuroImage, 2012)

Resting-state fMRI in the Human Connectome Project. - Stephen M. Smith 001; 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; et al. (NeuroImage, 2013)

Advances in diffusion MRI acquisition and processing in the Human Connectome Project. - 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; et al. (NeuroImage, 2013)

Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project. - 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; et al. (NeuroImage, 2013)

Evaluation of slice accelerations using multiband echo planar imaging at 3 T. - Junqian Xu; Steen Moeller; Edward J. Auerbach; John P. Strupp; Stephen M. Smith 001; David A. Feinberg; Essa Yacoub; Kâmil Ugurbil (NeuroImage, 2013)

ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging. - 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; et al. (NeuroImage, 2014)

Evaluation of highly accelerated simultaneous multi-slice EPI for fMRI. - Liyong Chen; An T. Vu; Junqian Xu; Steen Moeller; Kâmil Ugurbil; Essa Yacoub; David A. Feinberg (NeuroImage, 2015)

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

Theoretical and experimental evaluation of multi-band EPI for high-resolution whole brain pCASL Imaging. - Xiufeng Li; Dingxin Wang; Edward J. Auerbach; Steen Moeller; Kâmil Ugurbil; Gregory J. Metzger (NeuroImage, 2015)

High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project. - An T. Vu; Edward J. Auerbach; Christophe Lenglet; Steen Moeller; Stamatios N. Sotiropoulos; Saâd Jbabdi; Jesper L. R. Andersson; Essa Yacoub; Kâmil Ugurbil (NeuroImage, 2015)

Simultaneous multi-slice Turbo-FLASH imaging with CAIPIRINHA for whole brain distortion-free pseudo-continuous arterial spin labeling at 3 and 7 T. - Yi Wang; Steen Moeller; Xiufeng Li; An T. Vu; Kate Krasileva; Kâmil Ugurbil; Essa Yacoub; Danny J. J. Wang (NeuroImage, 2015)

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

Evaluation of 2D multiband EPI imaging for high-resolution, whole-brain, task-based fMRI studies at 3T: Sensitivity and slice leakage artifacts. - Nick Todd; Steen Moeller; Edward J. Auerbach; Essa Yacoub; Guillaume Flandin; Nikolaus Weiskopf (NeuroImage, 2016)

Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI. - Steen Moeller; Sebastian Weingärtner; Mehmet Akçakaya (EMBC, 2017)

Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome Project. - An T. Vu; Keith Jamison; Matthew F. Glasser; Stephen M. Smith 001; Timothy S. Coalson; Steen Moeller; Edward J. Auerbach; Kâmil Ugurbil; Essa Yacoub (NeuroImage, 2017)

Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural Networks. - Chi Zhang 057; Steen Moeller; Sebastian Weingärtner; Kâmil Ugurbil; Mehmet Akçakaya (ACSSC, 2018)

Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging. - Chi Zhang 057; Sebastian Weingärtner; Steen Moeller; Kâmil Ugurbil; Mehmet Akçakaya (EIT, 2018)

Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance Imaging. - Mehmet Akçakaya; Steen Moeller; Sebastian Weingärtner; Kâmil Ugurbil (IJCNN, 2018)

Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI. - Chi Zhang 057; Seyed Amir Hossein Hosseini; Steen Moeller; Sebastian Weingärtner; Kâmil Ugurbil; Mehmet Akçakaya (ACSSC, 2019)

Improved Regularized Reconstruction for Simultaneous Multi-Slice Cardiac MRI T1 Mapping. - Ömer Burak Demirel; Sebastian Weingärtner; Steen Moeller; Mehmet Akçakaya (EUSIPCO, 2019)

Accelerated Coronary Mri Using 3D Spirit-Raki With Sparsity Regularization. - Seyed Amir Hossein Hosseini; Steen Moeller; Sebastian Weingärtner; Kâmil Ugurbil; Mehmet Akçakaya (ISBI, 2019)

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. - Florian Knoll; Kerstin Hammernik; Chi Zhang 057; Steen Moeller; Thomas Pock; Daniel K. Sodickson; Mehmet Akçakaya (CoRR, 2019)

Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms. - Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Steen Moeller; Mingyi Hong 001; Mehmet Akçakaya (CoRR, 2019)

Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Steen Moeller; Jutta Ellermann; Kâmil Ugurbil; Mehmet Akçakaya (CoRR, 2019)

Human Connectome Project-style resting-state functional MRI at 7 Tesla using radiofrequency parallel transmission. - Xiaoping Wu; Edward J. Auerbach; An T. Vu; Steen Moeller; Pierre-François van de Moortele; Essa Yacoub; Kâmil Ugurbil (NeuroImage, 2019)

High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. - Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Steen Moeller; Mehmet Akçakaya (EMBC, 2020)

Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction. - Ömer Burak Demirel; Sebastian Weingärtner; Steen Moeller; Mehmet Akçakaya (ISBI, 2020)

Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework. - Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Chi Zhang 057; Kâmil Ugurbil; Steen Moeller; Mehmet Akçakaya (ISBI Workshops, 2020)

Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Steen Moeller; Jutta Ellermann; Kâmil Ugurbil; Mehmet Akçakaya (ISBI, 2020)

Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Steen Moeller; Jutta Ellermann; Kâmil Ugurbil; Mehmet Akçakaya (CoRR, 2020)

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

Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms. - Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Steen Moeller; Mingyi Hong 001; Mehmet Akçakaya (IEEE J. Sel. Top. Signal Process., 2020)

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. - Ruoyun Ma; Mehmet Akçakaya; Steen Moeller; Edward J. Auerbach; Kâmil Ugurbil; Pierre-François van de Moortele (NeuroImage, 2020)

Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. - Florian Knoll; Kerstin Hammernik; Chi Zhang 057; Steen Moeller; Thomas Pock; Daniel K. Sodickson; Mehmet Akçakaya (IEEE Signal Process. Mag., 2020)

Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. - Ömer Burak Demirel; Burhaneddin Yaman; Logan Dowdle; Steen Moeller; Luca Vizioli; Essa Yacoub; John P. Strupp; Cheryl A. Olman; Kâmil Ugurbil; Mehmet Akçakaya (ACSCC, 2021)

Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases. - Zilin Deng; Burhaneddin Yaman; Chi Zhang 057; Steen Moeller; Mehmet Akçakaya (ACSCC, 2021)

Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations. - Chi Zhang 057; Jinghan Jia; Burhaneddin Yaman; Steen Moeller; Sijia Liu 001; Mingyi Hong 001; Mehmet Akçakaya (ACSCC, 2021)

20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. - Ömer Burak Demirel; Burhaneddin Yaman; Logan Dowdle; Steen Moeller; Luca Vizioli; Essa Yacoub; John P. Strupp; Cheryl A. Olman; Kâmil Ugurbil; Mehmet Akçakaya (EMBC, 2021)

Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science Tools. - Hongyi Gu; Burhaneddin Yaman; Kâmil Ugurbil; Steen Moeller; Mehmet Akçakaya (EMBC, 2021)

Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Steen Moeller; Mehmet Akçakaya (ICASSP, 2021)

Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Steen Moeller; Jutta Ellermann; Kâmil Ugurbil; Mehmet Akçakaya (ISBI, 2021)

Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR. - Burhaneddin Yaman; Chetan Shenoy; Zilin Deng; Steen Moeller; Hossam El-Rewaidy; Reza Nezafat; Mehmet Akçakaya (ISBI, 2021)

On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations. - Chi Zhang 057; Jinghan Jia; Burhaneddin Yaman; Steen Moeller; Sijia Liu 001; Mingyi Hong 001; Mehmet Akçakaya (CoRR, 2021)

NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing. - Steen Moeller; Pramod Kumar Pisharady; Sudhir Ramanna; Christophe Lenglet; Xiaoping Wu; Logan Dowdle; Essa Yacoub; Kâmil Ugurbil; Mehmet Akçakaya (NeuroImage, 2021)

NOise Reduction with DIstribution Corrected (NORDIC) PCA improves signal-to-noise in rodent resting-state and optogenetic functional MRI. - Russell W. Chan; Royce P. Lee; Sarah Y. Wu; Emily L. Tse; Yixi Xue; Steen Moeller; Kevin C. Chan (EMBC, 2022)

Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI. - Ömer Burak Demirel; Burhaneddin Yaman; Steen Moeller; Sebastian Weingärtner; Mehmet Akçakaya (EMBC, 2022)

Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI. - Chi Zhang 057; Davide Piccini; Ömer Burak Demirel; Gabriele Bonanno; Burhaneddin Yaman; Matthias Stuber; Steen Moeller; Mehmet Akçakaya (ISBI, 2022)

Accelerated MRI With Deep Linear Convolutional Transform Learning. - Hongyi Gu; Burhaneddin Yaman; Steen Moeller; Il Yong Chun; Mehmet Akçakaya (CoRR, 2022)

Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning. - Chi Zhang 057; Steen Moeller; Omer Burak Demirel; Kâmil Ugurbil; Mehmet Akçakaya (NeuroImage, 2022)

Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction. - Merve Gülle; Ömer Burak Demirel; Logan Dowdle; Steen Moeller; Essa Yacoub; Kâmil Ugurbil; Mehmet Akçakaya (CAMSAP, 2023)

High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning. - Ömer Burak Demirel; Steen Moeller; Luca Vizioli; Burhaneddin Yaman; Logan Dowdle; Essa Yacoub; Kâmil Ugurbil; Mehmet Akçakaya (NER, 2023)

Motion robust magnetic resonance imaging via efficient Fourier aggregation. - Oren Solomon; Rémi Patriat; Henry Braun; Tara E. Palnitkar; Steen Moeller; Edward J. Auerbach; Kâmil Ugurbil; Guillermo Sapiro; Noam Harel (Medical Image Anal., 2023)

Evaluating increases in sensitivity from NORDIC for diverse fMRI acquisition strategies. - Logan Dowdle; Luca Vizioli; Steen Moeller; Mehmet Akçakaya; Cheryl Olman; Geoffrey Ghose; Essa Yacoub; Kâmil Ugurbil (NeuroImage, 2023)