61 citations · 278 across the 24 of their papers we have counts for
3 papers · 1 filter
Classification at the Accuracy Limit -- Facing the Problem of Data Ambiguity
Claus Metzner, Achim Schilling, Maximilian Traxdorf +3
Data classification, the process of analyzing data and organizing it into categories, is a fundamental computing problem of natural and artificial information processing systems. I…
Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Future
Andreas Maier, Harald Köstler, Marco Heisig +2
In this article, we perform a review of the state-of-the-art of hybrid machine learning in medical imaging. We start with a short summary of the general developments of the past in…
How deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks
Achim Schilling, Claus Metzner, Jonas Rietsch +3
Deep neural networks typically outperform more traditional machine learning models in their ability to classify complex data, and yet is not clear how the individual hidden layers…