Aniek F. Markus

Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

Himanshi Allahabadi, Julia Amann, Isabelle Balot et al. · IEEE Transactions on Technology and Society · 2022 · 35 citations · Full text

Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network

Ross D. Williams, Aniek F. Markus, Cynthia Yang et al. · BMC Medical Research Methodology · 2022 · 33 citations · Full text

Seek COVER: Development and validation of a personalized risk calculator for COVID-19 outcomes in an international network

Ross D. Williams, Aniek F. Markus, Cynthia Yang et al. · 2020 · 28 citations · Full text

Population Health Sciences, Covid-19 Epidemiology, Covid-19 +25

Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study

Jenna Reps, Chungsoo Kim, Ross D. Williams et al. · JMIR Medical Informatics · 2021 · 26 citations · Full text

The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies

Aniek F. Markus, Jan A. Kors, Peter R. Rijnbeek · Zenodo (CERN European Organization for Nuclear Research) · 2020 · 14 citations · Full text