Sina Straub

According to our database, Sina Straub authored at least 4 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

In-vivo high-resolution χ-separation at 7T.

Jiye Kim, Minjun Kim, Sooyeon Ji, Kyeongseon Min, Hwihun Jeong, Hyeong-Geol Shin, Chungseok Oh, Robert J. Fox, Ken E. Sakaie, Mark J. Lowe, Se-Hong Oh, Sina Straub, Seong-Gi Kim, Jongho Lee

NeuroImage, 2025

2022

A novel gradient echo data based vein segmentation algorithm and its application for the detection of regional cerebral differences in venous susceptibility.

Sina Straub, Janis Stiegeler, Edris El-Sanosy, Martin Bendszus, Mark E. Ladd, Till M. Schneider

NeuroImage, 2022

2021

The traveling heads 2.0: Multicenter reproducibility of quantitative imaging methods at 7 Tesla.

Maximilian N. Voelker, Oliver Kraff, Steffen Goerke, Frederik B. Laun, Jannis Hanspach, Kerrin Pine, Philipp Ehses, Moritz Zaiss, Andrzej Liebert, Sina Straub, Korbinian Eckstein, Simon Robinson, Armin M. Nagel, Maria R. Stefanescu, Astrid Wollrab, Sabrina Klix, Jörg Felder, Michael Hock, Dario Bosch, Nikolaus Weiskopf, Oliver Speck, Mark E. Ladd, Harald H. Quick

NeuroImage, 2021

2017

MAVEN: An Algorithm for Multi-Parametric Automated Segmentation of Brain Veins From Gradient Echo Acquisitions.

Serena Monti, Sirio Cocozza, Pasquale Borrelli, Sina Straub, Mark E. Ladd, Marco Salvatore, Enrico Tedeschi, Giuseppe Palma

IEEE Trans. Medical Imaging, 2017