Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.

M. Muckley, B. Riemenschneider, A. Radmanesh, S. Kim, G. Jeong, J. Ko, Y. Jun, H. Shin, D. Hwang, M. Mostapha, S. Arberet, D. Nickel, Z. Ramzi, P. Ciuciu, J. Starck, J. Teuwen, D. Karkalousos, C. Zhang, A. Sriram, Z. Huang, N. Yakubova, Y. Lui, and F. Knoll. CoRR, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Michaela Knoll

Michael Knoll

Peter Knoll

Sabine Knoll

Katja Knoll

Other publications of authors with the same name

Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.D. Narnhofer, A. Effland, E. Kobler, K. Hammernik, F. Knoll, and T. Pock. IEEE Trans. Medical Imaging, 41 (2): 279-291 (2022)Learning a Variational Network for Reconstruction of Accelerated MRI Data.K. Hammernik, T. Klatzer, E. Kobler, M. Recht, D. Sodickson, T. Pock, and F. Knoll. CoRR, (2017)The Agile Library for Biomedical Image Reconstruction Using GPU Acceleration.M. Freiberger, F. Knoll, K. Bredies, H. Scharfetter, and R. Stollberger. Comput. Sci. Eng., 15 (1): 34-44 (2013)fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.J. Zbontar, F. Knoll, A. Sriram, M. Muckley, M. Bruno, A. Defazio, M. Parente, K. Geras, J. Katsnelson, H. Chandarana and 13 other author(s). CoRR, (2018)State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.M. Muckley, B. Riemenschneider, A. Radmanesh, S. Kim, G. Jeong, J. Ko, Y. Jun, H. Shin, D. Hwang, M. Mostapha and 13 other author(s). CoRR, (2020)Stable deep MRI reconstruction using Generative Priors.M. Zach, F. Knoll, and T. Pock. CoRR, (2022)Stable Deep MRI Reconstruction Using Generative Priors.M. Zach, F. Knoll, and T. Pock. IEEE Trans. Medical Imaging, 42 (12): 3817-3832 (December 2023)Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.D. Narnhofer, A. Effland, E. Kobler, K. Hammernik, F. Knoll, and T. Pock. CoRR, (2021)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)Organizational Information improves Forecast Efficiency of Correction Techniques.F. Knöll, and V. Simko. ITAT, volume 1885 of CEUR Workshop Proceedings, page 86-92. CEUR-WS.org, (2017)

BibSonomy

Disambiguation of "Knoll, Florian"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.

Please choose a person to relate this publication to

Michaela Knoll

Michael Knoll

Peter Knoll

Sabine Knoll

Katja Knoll

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Knoll, Florian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.

Please choose a person to relate this publication to

Michaela Knoll

Michael Knoll

Peter Knoll

Sabine Knoll

Katja Knoll

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.