output
20132020
most citedLatent-Graph Learning for Disease Prediction

54 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019Show all

1 paper · 1 filter

cs.LG2019★ 9 cited

Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks

Hendrik Burwinkel, Anees Kazi, Gerome Vivar +4

Recently, Geometric Deep Learning (GDL) has been introduced as a novel and versatile framework for computer-aided disease classification. GDL uses patient meta-information such as…