activity
20192024
most citedMIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

140 citations · 156 across the 9 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.CV2021★ 1 cited

Classification of Viral Pneumonia X-ray Images with the Aucmedi Framework

Pia Schneider, Dominik Müller, Frank Kramer

In this work we use the AUCMEDI-Framework to train a deep neural network to classify chest X-ray images as either normal or viral pneumonia. Stratified k-fold cross-validation with…

eess.IV2021★ 1 cited

Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models

Dominik Müller, Iñaki Soto-Rey, Frank Kramer

Preventable or undiagnosed visual impairment and blindness affect billion of people worldwide. Automated multi-disease detection models offer great potential to address this proble…