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

QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field.

Y. Chen, A. Jakary, C. Hess, and J. Lupo. CoRR, (2019)

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.

Janine M Bosle

Isabel Lupold

Tanja Lupo

Domenico Lupo

Rolf Lupold

Other publications of authors with the same name

Development of a robust method for generating 7.0 T multichannel phase images of the brain with application to normal volunteers and patients with neurological diseases.K. Hammond, J. Lupo, D. Xu, M. Metcalf, D. Kelley, D. Pelletier, S. Chang, P. Mukherjee, D. Vigneron, and S. Nelson. NeuroImage, 39 (4): 1682-1692 (2008)Comparison of quantitative susceptibility mapping methods for iron-sensitive susceptibility imaging at 7T: An evaluation in healthy subjects and patients with Huntington's disease.J. Yao, M. Morrison, A. Jakary, S. Avadiappan, Y. Chen, J. Luitjens, J. Glueck, T. Driscoll, M. Geschwind, A. Nelson and 3 other author(s). NeuroImage, (2023)QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field.Y. Chen, A. Jakary, S. Avadiappan, C. Hess, and J. Lupo. NeuroImage, (2020)Correction to: Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network.Y. Chen, J. Villanueva-Meyer, M. Morrison, and J. Lupo. J. Digital Imaging, 32 (5): 898 (2019)QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field.Y. Chen, A. Jakary, C. Hess, and J. Lupo. CoRR, (2019)Partially-parallel, susceptibility-weighted MR imaging of brain vasculature at 7 Tesla using sensitivity encoding and an autocalibrating parallel technique.J. Lupo, S. Banerjee, D. Kelley, D. Xu, D. Vigneron, S. Majumdar, and S. Nelson. EMBC, page 747-750. IEEE, (2006)Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network.Y. Chen, J. Villanueva-Meyer, M. Morrison, and J. Lupo. J. Digital Imaging, 32 (5): 766-772 (2019)Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning.J. Cluceru, J. Lupo, Y. Interian, R. Bove, and J. Crane. J. Digit. Imaging, 36 (1): 289-305 (February 2023)

BibSonomy

Disambiguation of "Lupo, Janine M."

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

QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field.

Please choose a person to relate this publication to

Janine M Bosle

Isabel Lupold

Tanja Lupo

Domenico Lupo

Rolf Lupold

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lupo, Janine M."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field.

Please choose a person to relate this publication to

Janine M Bosle

Isabel Lupold

Tanja Lupo

Domenico Lupo

Rolf Lupold

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

QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field.