Comparative Evaluation of Deep Learning and Compressed Sensing Methods for Dynamic Contrast-Enhanced MRI Reconstruction

Gösche E, Tan Z, Flaßkamp K, Kim SG, Knoll F (2025)

Publication Language: English

Publication Type: Conference contribution, Abstract of a poster

Publication year: 2025

Event location: Honolulu, HI US

Authors with CRIS profile

Erik Gösche Professur für Computational Imaging Florian Knoll Professur für Computational Imaging

Involved external institutions

Universität des Saarlandes (UdS) DE Germany (DE) Weill Cornell Medicine US United States (USA) (US) University of Michigan US United States (USA) (US)

How to cite

APA:

Gösche, E., Tan, Z., Flaßkamp, K., Kim, S.G., & Knoll, F. (2025). Comparative Evaluation of Deep Learning and Compressed Sensing Methods for Dynamic Contrast-Enhanced MRI Reconstruction. Poster presentation at 2025 ISMRM & ISMRT Annual Meeting & Exhibition, Honolulu, HI, US.

MLA:

Gösche, Erik, et al. "Comparative Evaluation of Deep Learning and Compressed Sensing Methods for Dynamic Contrast-Enhanced MRI Reconstruction." Presented at 2025 ISMRM & ISMRT Annual Meeting & Exhibition, Honolulu, HI 2025.

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