Alexander Hann
@alexsworking
Gastroenterologist, Professor at @Uniklinikum_Wue, Germany. Research in #gastroenterology, #endoscopy, #AI, #VirtualReality, #training & #simulation T/RT=own
ID: 1267510531772108800
http://www.ukw.de/inexen 01-06-2020 17:37:30
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Visit us and experience #VR in #endoscopy. At the #ESGE Days in #Berlin. We will present our open source VR simulator ViGaTu at booth 71 as part of the Simulator Rally. ESGE Arbeitsgemeinschaft Junge Gastroenterologie (JuGa) Keith Siau Samir C. Grover, MD Venkatesh Parayitam Ioannis Kafetzis Alexander Meining
Amazing feedback for our open source endoscopy simulator at the #ESGE Days in Berlin. Come by to test it if you are in #Berlin. Prof John Leeds Keith Siau Steven Bollipo ESGE
Congratulations to Alexander Hann and his team for leading the way in endoscopy #VR and #AI 👏🏼 Huge thanks for making these innovations open source! #ESGEDays2024
Werden Sie Teil unseres Teams karriere.ukw.de/de/p/verwaltun… Universitätsklinikum Würzburg
How can physicians and nurses train with the same #endoscopy #simulator? Checkout out the latest research paper on our open source simulator ViGaTu, involving 43 physicians and 28 nurses from 43 centers! doi.org/10.15403/jgld-… Samir C. Grover, MD Keith Siau Klaus Mönkemüller, MD, PhD
ViGaTu by Alexander Hann - an immersive open source interdisciplinary #endoscopy simulator with strong validity data. Super cool.
Alexander Hann Ioannis Kafetzis Universitätsklinikum Würzburg Klinikum Stuttgart Love the use of active learning! Defo the way forward, especially with less prevalent pathology!
Fostering the exchange of knowledge between industry and university research institutions. Grateful for being able to participate with our research group #InExEn from Universitätsklinikum Würzburg and visit Google Deutschland in #Berlin and Telekom MMS in #Dresden - working on #AI in #Healthcare
🔧 Build your own #AI with our latest research! Together with Alexander Hann, we’ve demonstrated how to use Active Learning train efficient medical AI with fewer annotations. Get our #OpenSource pipeline: doi.org/10.1038/s41598… Thanks to Universitätsklinikum Würzburg and Klinikum Stuttgart!
Raffaele Di Giacomo, PhD Alexander Hann Universitätsklinikum Würzburg Klinikum Stuttgart Thanks Raffaele, that's what we aimed for! Our approach balances annotation quality and quantity by selecting images across the AI's confidence spectrum for each label. This yields a diverse set of examples, from all classes and difficulty levels leading to a more robust model.