Deep Learning based T2 distribution estimation for bone marrow characterization in inflammation and aging

Brock L, Ben-Atya H, Saar G, Folle L, Maier A, Freiman M, Vandoorne K (2023)

Publication Type: Conference contribution, Abstract of a poster

Publication year: 2023

Event location: Salzburg AT

URI: https://www.eventclass.org/contxt_emim2023/online-program/session?s=PW15#e685

Open Access Link: https://www.eventclass.org/contxt_emim2023/online-program/session?s=PW15#e685

Authors with CRIS profile

Luise Brock Professur für Computational Imaging Lukas Folle Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Technion - Israel Institute of Technology IL Israel (IL)

How to cite

APA:

Brock, L., Ben-Atya, H., Saar, G., Folle, L., Maier, A., Freiman, M., & Vandoorne, K. (2023). Deep Learning based T2 distribution estimation for bone marrow characterization in inflammation and aging. Poster presentation at European Molecular Imaging Meeting (EMIM), Salzburg, AT.

MLA:

Brock, Luise, et al. "Deep Learning based T2 distribution estimation for bone marrow characterization in inflammation and aging." Presented at European Molecular Imaging Meeting (EMIM), Salzburg 2023.

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