L2 or not L2: Impact of Loss Function Design for Deep Learning MRI Reconstruction

Kerstin Hammernik, Florian Knoll, Daniel K Sodickson, Thomas Pock

Research output: Chapter in Book/Report/Conference proceedingConference contribution

LanguageEnglish
Title of host publicationProceedings of the International Society of Magnetic Resonance in Medicine (ISMRM)
StatusPublished - 2017
EventISMRM 25th Annual Meeting - Honolulu, Hawaii, United States
Duration: 22 Apr 201727 Apr 2017
http://www.ismrm.org/2017-annual-meeting-exhibition/

Conference

ConferenceISMRM 25th Annual Meeting
CountryUnited States
CityHawaii
Period22/04/1727/04/17
Internet address

Cite this

Hammernik, K., Knoll, F., Sodickson, D. K., & Pock, T. (2017). L2 or not L2: Impact of Loss Function Design for Deep Learning MRI Reconstruction. In Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM) [0687]

L2 or not L2: Impact of Loss Function Design for Deep Learning MRI Reconstruction. / Hammernik, Kerstin; Knoll, Florian; Sodickson, Daniel K; Pock, Thomas.

Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM). 2017. 0687.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hammernik, K, Knoll, F, Sodickson, DK & Pock, T 2017, L2 or not L2: Impact of Loss Function Design for Deep Learning MRI Reconstruction. in Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM)., 0687, ISMRM 25th Annual Meeting, Hawaii, United States, 22/04/17.
Hammernik K, Knoll F, Sodickson DK, Pock T. L2 or not L2: Impact of Loss Function Design for Deep Learning MRI Reconstruction. In Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM). 2017. 0687.
Hammernik, Kerstin ; Knoll, Florian ; Sodickson, Daniel K ; Pock, Thomas. / L2 or not L2: Impact of Loss Function Design for Deep Learning MRI Reconstruction. Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM). 2017.
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