3 papers
q-bio.PE2020
Covid-19 -- A simple statistical model for predicting ICU load in early phases of the disease
Matthias Ritter, Derek V. M. Ott, Friedemann Paul +2
One major bottleneck in the ongoing COVID-19 pandemic is the limited number of critical care beds. Due to the dynamic development of infections and the time lag between when patien…
cs.CV2019
Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation
Fabian Eitel, Emily Soehler, Judith Bellmann-Strobl +10
Machine learning-based imaging diagnostics has recently reached or even superseded the level of clinical experts in several clinical domains. However, classification decisions of a…
cs.CV2018
Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer's Disease
Johannes Rieke, Fabian Eitel, Martin Weygandt +2
Visualizing and interpreting convolutional neural networks (CNNs) is an important task to increase trust in automatic medical decision making systems. In this study, we train a 3D…