Siegfried Priglinger

According to our database, Siegfried Priglinger authored at least 2 papers between 2016 and 2020.

Collaborative distances:

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

2020

Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy.

Olle G. Holmberg, Niklas D. Köhler, Thiago Martins, Jakob Siedlecki, Tina Herold, Leonie Keidel, Ben Asani, Johannes Schiefelbein, Siegfried Priglinger, Karsten U. Kortuem, Fabian J. Theis

Nat. Mach. Intell., 2020

2016

Development of a Generic Tubular Tree Structure for the Modeling of Orbital Cranial Nerves.

Thomas Kaltofen, Sara Ivcevic, Mathias Kogler, Siegfried Priglinger

Proceedings of the Medicine Meets Virtual Reality 22 - NextMed, 2016