259 citations · 341 across the 16 of their papers we have counts for
5 papers · 1 filter
Deep Learning -- A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research Impact
Jan Egger, Antonio Pepe, Christina Gsaxner +3
Deep learning belongs to the field of artificial intelligence, where machines perform tasks that typically require some kind of human intelligence. Similar to the basic structure o…
Medical Deep Learning -- A systematic Meta-Review
Jan Egger, Christina Gsaxner, Antonio Pepe +5
Deep learning (DL) has remarkably impacted several different scientific disciplines over the last few years. E.g., in image processing and analysis, DL algorithms were able to outp…
A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge
Jianning Li, Antonio Pepe, Christina Gsaxner +2
In this study, we present a baseline approach for AutoImplant (https://autoimplant.grand-challenge.org/) - the cranial implant design challenge, which, as suggested by the organize…
An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design
Jianning Li, Antonio Pepe, Christina Gsaxner +1
We introduce a fully automatic system for cranial implant design, a common task in cranioplasty operations. The system is currently integrated in Studierfenster (http://studierfens…
Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images
Alexander Prutsch, Antonio Pepe, Jan Egger
Medical imaging is an important tool for the diagnosis and the evaluation of an aortic dissection (AD); a serious condition of the aorta, which could lead to a life-threatening aor…