activity
20192022
most citedRecommendations on test datasets for evaluating AI solutions in pathology

78 citations · 80 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2022★ 78 cited

Recommendations on test datasets for evaluating AI solutions in pathology

André Homeyer, Christian Geißler, Lars Ole Schwen +27

Artificial intelligence (AI) solutions that automatically extract information from digital histology images have shown great promise for improving pathological diagnosis. Prior to…

stat.ME2021

Statistical Inference for Diagnostic Test Accuracy Studies with Multiple Comparisons

Max Westphal, Antonia Zapf

Diagnostic accuracy studies assess sensitivity and specificity of a new index test in relation to an established comparator or the reference standard. The development and selection…

stat.AP2020

A statistical model to assess risk for supporting SARS-CoV-2 quarantine decisions

Sonja Jäckle, Elias Röger, Volker Dicken +3

In February 2020 the first human infection with SARS-CoV-2 was reported in Germany. Since then the local public health offices have been responsible to monitor and react to the dyn…

stat.ME2019

A multiple testing framework for diagnostic accuracy studies with co-primary endpoints

Max Westphal, Antonia Zapf, Werner Brannath

Major advances have been made regarding the utilization of artificial intelligence in health care. In particular, deep learning approaches have been successfully applied for automa…

stat.ME2019★ 2 cited

Simultaneous Inference for Multiple Proportions: A Multivariate Beta-Binomial Model

Max Westphal

Statistical inference in high-dimensional settings is challenging when standard unregularized methods are employed. In this work, we focus on the case of multiple correlated propor…