most citedScalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2021★ 2 cited

Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data

Sebastian Pölsterl, Christina Aigner, Christian Wachinger

Deep Neural Networks (DNNs) have an enormous potential to learn from complex biomedical data. In particular, DNNs have been used to seamlessly fuse heterogeneous information from n…