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Variational Deep Learning for Low-Dose Computed Tomography.

E. Kobler, M. Muckley, B. Chen, F. Knoll, K. Hammernik, T. Pock, D. Sodickson, and R. Otazo. ICASSP, page 6687-6691. IEEE, (2018)

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Daniel K Schamberger

Daniel K Falk

Daniel K Kirchhofer

Daniel K Erdin

Aman K K Bhasin

Other publications of authors with the same name

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction.F. Knoll, K. Hammernik, C. Zhang, S. Moeller, T. Pock, D. Sodickson, and M. Akçakaya. CoRR, (2019)On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease.R. Singhal, M. Sudarshan, A. Mahishi, S. Kaushik, L. Ginocchio, A. Tong, H. Chandarana, D. Sodickson, R. Ranganath, and S. Chopra. CoRR, (2023)Effect of an annular sleeve of high permittivity material on resonant modes and homogeneity of a birdcage coil.M. Vaidya, G. Chen, B. Zhang, C. Collins, D. Sodickson, and R. Lattanzi. ISBI, page 1077-1080. IEEE, (2015)Combination of compressed sensing and parallel imaging for highly-accelerated dynamic MRI.R. Otazo, L. Feng, H. Chandarana, T. Block, L. Axel, and D. Sodickson. ISBI, page 980-983. IEEE, (2012)An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning.E. Hedayati, F. Safari, G. Verghese, V. Ciancia, D. Sodickson, S. Dehkharghani, and L. Alon. CoRR, (2023)Rapid free-breathing dynamic contrast-enhanced MRI using motion-resolved compressed sensing.L. Feng, D. Sodickson, and R. Otazo. ISBI, page 889-892. IEEE, (2015)GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction.A. Sriram, J. Zbontar, T. Murrell, C. Zitnick, A. Defazio, and D. Sodickson. CVPR, page 14303-14310. Computer Vision Foundation / IEEE, (2020)Superresolution parallel magnetic resonance imaging: Application to functional and spectroscopic imaging.R. Otazo, F. Lin, G. Wiggins, R. Jordan, D. Sodickson, and S. Posse. NeuroImage, 47 (1): 220-230 (2009)GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction.A. Sriram, J. Zbontar, T. Murrell, C. Zitnick, A. Defazio, and D. Sodickson. CoRR, (2019)Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues.F. Knoll, K. Hammernik, C. Zhang, S. Moeller, T. Pock, D. Sodickson, and M. Akçakaya. IEEE Signal Process. Mag., 37 (1): 128-140 (2020)

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Disambiguation of "Sodickson, Daniel K."

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Variational Deep Learning for Low-Dose Computed Tomography.

Please choose a person to relate this publication to

Daniel K Schamberger

Daniel K Falk

Daniel K Kirchhofer

Daniel K Erdin

Aman K K Bhasin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Sodickson, Daniel K."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Variational Deep Learning for Low-Dose Computed Tomography.

Please choose a person to relate this publication to

Daniel K Schamberger

Daniel K Falk

Daniel K Kirchhofer

Daniel K Erdin

Aman K K Bhasin

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Variational Deep Learning for Low-Dose Computed Tomography.