Dr. Roberto Grosso


Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)

Project lead

OCEAN: Rechenleistungsoptimierte Software-Strategien für auf unstrukturierten Gittern basierende Anwendungen in der Ozeanmodellierung
Vadym Aizinger; Dr. Roberto Grosso; Prof. Dr. Harald Köstler
(01/01/2017 - 30/09/2020)

Project member

EFE: Exploring the “Fukushima Effect”: Attitudes and opinions towards nuclear power and renewable energy and the emergence of a transnational algorithmic public sphere
Prof. Dr. Stefan Evert
(01/01/2017 - 31/12/2019)

Publications (Download BibTeX)

Falk, S., Kniesburges, S., Janka, R.M., Grosso, R., Becker, S., Semmler, M., & Döllinger, M. (2019). Computational hydrodynamics of a typical 3-fin surfboard setup. Journal of Fluids and Structures, 90, 297-314. https://dx.doi.org/10.1016/j.jfluidstructs.2019.07.006
Zint, D., & Grosso, R. (2019). Discrete mesh optimization on GPU. In Adrien Loseille, Xevi Roca (Eds.), Lecture Notes in Computational Science and Engineering (pp. 445-460). Albuquerque, NM, US: Springer Verlag.
Hoffmann, R., Kranz, F., Siegl, C., Janka, R.M., Grosso, R., & Greiner, G. (2016). Automated Heart Localization in Cardiac Cine MR Data. In Bildverarbeitung für die Medizin 2016. (pp. 116--121). Springer.
Hammon, M., Janka, R.M., Siegl, C., Seuß, H., Grosso, R., Martirosian, P.,... Kistner, I. (2016). Reproducibility of Kidney Perfusion Measurements With Arterial Spin Labeling at 1.5 Tesla MRI Combined With Semiautomatic Segmentation for Differential Cortical and Medullary Assessment. Medicine, 95(11), e3083. https://dx.doi.org/10.1097/MD.0000000000003083
Siegl, C., Martschinke, J., Janka, R.M., & Grosso, R. (2014). Simultaneous Segmentation and Registration for FAIR Perfusion Imaging. In Bildverarbeitung für die Medizin 2014 (pp. 204-209). Heidelberg: Springer.

Last updated on 2017-23-04 at 05:26