Rainer Grimmer

Accuracy and Reproducibility of a Software Prototype for Semi- Automated Computer-Aided Volumetry of the solid and subsolid Components of part-solid Pulmonary Nodules Genauigkeit und Reproduzierbarkeit eines Software-Prototypen zur halbautomatischen computergestützten Volumetrie der soliden und sub

M. Horger, A. Wimmer, Sebastian Werner, 2022 .

Differences in Texture Analysis Parameters Between Active Alveolitis and Lung Fibrosis in Chest CT of Patients with Systemic Sclerosis: A Feasibility Study.

A. Blum, K. Nikolaou, C. Kloth, 2017, Academic radiology.

Accuracy and Reproducibility of a Software Prototype for Semi-Automated Computer-Aided Volumetry of the solid and subsolid Components of part-solid Pulmonary Nodules

A. Wimmer, M. Horger, Sebastian Werner, 2021, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

Evaluation of Texture Analysis Parameter for Response Prediction in Patients with Hepatocellular Carcinoma Undergoing Drug-eluting Bead Transarterial Chemoembolization (DEB-TACE) Using Biphasic Contrast-enhanced CT Image Data: Correlation with Liver Perfusion CT.

D. Ketelsen, K. Nikolaou, C. Kloth, 2017, Academic radiology.

A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence.

Richard D. White, Andreas Wimmer, Thomas F. O'Donnell, 2019, Radiology. Artificial intelligence.

Are quantitative features of lung nodules reproducible at different CT acquisition and reconstruction parameters?

Richard D. White, L. Prevedello, Vikash Gupta, 2019, PloS one.

Can a Novel Deep Neural Network Improve the Computer-Aided Detection of Solid Pulmonary Nodules and the Rate of False-Positive Findings in Comparison to an Established Machine Learning Computer-Aided Detection?

Regine Mariette Perl, Rainer Grimmer, Tobias Hepp, 2020, Investigative radiology.