Search Results for author: Simeon Allmendinger

Found 4 papers, 3 papers with code

CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI

no code implementations29 Feb 2024 Domenique Zipperling, Simeon Allmendinger, Lukas Struppek, Niklas Kühl

Tailored for efficient and collaborative use of denoising diffusion probabilistic models, CollaFuse enables shared server training and inference, alleviating client computational burdens.

Autonomous Driving Denoising +2

Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation

3 code implementations5 Dec 2023 Simeon Allmendinger, Patrick Hemmer, Moritz Queisner, Igor Sauer, Leopold Müller, Johannes Jakubik, Michael Vössing, Niklas Kühl

We demonstrate the usage of state-of-the-art text-to-image architectures in the context of laparoscopic imaging with regard to the surgical removal of the gallbladder as an example.

Decision Making Text-to-Image Generation

Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement from Stereoimages

1 code implementation16 Nov 2023 Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl

A significant challenge in image-guided surgery is the accurate measurement task of relevant structures such as vessel segments, resection margins, or bowel lengths.

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