1 code implementation • 7 Oct 2019 • Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten Kortuem, Volker Tresp
We cast the problem of image denoising as a domain translation problem between high and low noise domains.
no code implementations • 11 Mar 2019 • Anees Kazi, Shayan shekarforoush, S. Arvind krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
Geometric deep learning provides a principled and versatile manner for the integration of imaging and non-imaging modalities in the medical domain.
no code implementations • 24 Dec 2018 • Anees Kazi, S. Arvind krishna, Shayan Shekarforoush, Karsten Kortuem, Shadi Albarqouni, Nassir Navab
A model capable of leveraging the individuality of each multi-modal data is required for better disease prediction.
no code implementations • 28 Apr 2018 • Anees Kazi, Shadi Albarqouni, Karsten Kortuem, Nassir Navab
Structural data from Electronic Health Records as complementary information to imaging data for disease prediction.