Florian Friedrich

TL;DR: This paper selects 15 of the most influential papers for author identification and recruits a group of students to reimplement them from scratch, laying the groundwork for integrating author identification with information retrieval to eventually scale the former to the web.

TL;DR: This review paper covers topics regarding new clinical techniques in MRI that can aid clinicians in diagnosis and treatment response of tumors, as well and guidance during therapy.

TL;DR: The in vivo feasibility of tumor tracking from radially acquired images on a low-field MR-linac is demonstrated and the U-net algorithm can track a tumor with higher accuracy in images with undersampling artifacts than a conventional deformable B-spline algorithm and is a promising tool for tracking in MR-guided radiation therapy.

TL;DR: Novel assessment approaches using dynamic test targets with spatio‐temporal backgrounds are discussed, and how they can be compiled in meaningful test sequences e.g. for automated measurements are discussed.

TL;DR: In this article , the authors discuss novel assessment approaches using dynamic test targets with spatio-temporal backgrounds, and how they can be compiled in meaningful test sequences e.g. for automated measurements.