output
20172025
most citedDeep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation

338 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 2018Show all

3 papers · 1 filter

cs.CV2018

Combining Heterogeneously Labeled Datasets For Training Segmentation Networks

Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth +3

Accurate segmentation of medical images is an important step towards analyzing and tracking disease related morphological alterations in the anatomy. Convolutional neural networks…

cs.CV2018★ 57 cited

Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI

Taro Langner, Anders Hedström, Katharina Mörwald +5

Purpose: An approach for the automated segmentation of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) in multicenter water-fat MRI scans of the abdomen was inv…

stat.ME2018★ 6 cited

Sample size calculation and blinded recalculation for analysis of covariance models with multiple random covariates

Georg Zimmermann, Meinhard Kieser, Arne Bathke

When testing for superiority in a parallel-group setting with a continuous outcome, adjusting for covariates (e.g., baseline measurements) is usually recommended, in order to reduc…