B. Schachtner

ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports

M. Ingrisch, B. Schachtner, J. Ricke, 2022, European radiology.

Pooling Techniques in Hybrid Quantum-Classical Convolutional Neural Networks

J. Lorenz, B. Schachtner, Maureen Monnet, 2023, 2023 IEEE International Conference on Quantum Computing and Engineering (QCE).

Quantum-classical convolutional neural networks in radiological image classification

J. Lorenz, B. Schachtner, A. Matic, 2022, 2022 IEEE International Conference on Quantum Computing and Engineering (QCE).

Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training

Florin C. Ghesu, M. Ingrisch, B. Schachtner, 2021, European Radiology.

Integration of clinical parameters and CT-based radiomics improves machine learning assisted subtyping of primary hyperaldosteronism

M. Ingrisch, M. Bidlingmaier, M. Reincke, 2023, Frontiers in endocrinology.

Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps

A. Graser, M. Ingrisch, B. Yeh, 2022, European Radiology.

Joint Imaging Platform for Federated Clinical Data Analytics

Marco Nolden, Mathias Schreckenberger, Alexander Radbruch, 2020, JCO clinical cancer informatics.

Nationwide Provision of Radiologically-guided Interventional Measures for the Supportive Treatment of Tumor Diseases in Germany - An Analysis of the DeGIR Registry Data.

D. Morhard, L. Heuser, M. Ingrisch, 2022, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.

Nationwide Provision of Radiologically-guided Interventional Measures for the Supportive Treatment of Tumor Diseases in Germany – An Analysis of the DeGIR Registry Data supportiven und Eine Analyse der DeGIR-Registerdaten

D. Morhard, P. Paprottka, A. H. Mahnken, 2022 .