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Anzahl der Publikationen: 14
Zeitschriftenartikel
Jeblick, Katharina 
ORCID: https://orcid.org/0000-0002-8678-7152; Schachtner, Balthasar; Dexl, Jakob; Mittermeier, Andreas; Stüber, Anna Theresa; Topalis, Johanna; Weber, Tobias ORCID: https://orcid.org/0000-0002-5430-2595; Wesp, Philipp; Sabel, Bastian Oliver; Ricke, Jens und Ingrisch, Michael ORCID: https://orcid.org/0000-0003-0268-9078
(2023):
ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports.
In: European Radiology, Bd. 34: S. 2817-2825
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-8678-7152; Schachtner, Balthasar; Dexl, Jakob; Mittermeier, Andreas; Stüber, Anna Theresa; Topalis, Johanna; Weber, Tobias ORCID: https://orcid.org/0000-0002-5430-2595; Wesp, Philipp; Sabel, Bastian Oliver; Ricke, Jens und Ingrisch, Michael ORCID: https://orcid.org/0000-0003-0268-9078
(2023):
ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports.
In: European Radiology, Bd. 34: S. 2817-2825
[PDF, 1MB]
Rudolph, Jan; Schachtner, Balthasar; Fink, Nicola; Koliogiannis, Vanessa; Schwarze, Vincent; Goller, Sophia; Trappmann, Lena; Hoppe, Boj F.; Mansour, Nabeel; Fischer, Maximilian; Ben Khaled, Najib; Jörgens, Maximilian; Dinkel, Julien; Kunz, Wolfgang G.; Ricke, Jens; Ingrisch, Michael; Sabel, Bastian O. und Rueckel, Johannes
(27. Juli 2022):
Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography analysis.
In: Scientific Reports, Bd. 12
[PDF, 4MB]
Wesp, Philipp ORCID: https://orcid.org/0000-0001-7356-3371; Grosu, Sergio; Graser, Anno; Maurus, Stefan; Schulz, Christian; Knosel, Thomas; Fabritius, Matthias P.; Schachtner, Balthasar; Yeh, Benjamin M.; Cyran, Clemens C.; Ricke, Jens; Kazmierczak, Philipp M. und Ingrisch, Michael
(2022):
Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps.
In: European Radiology, Bd. 32, Nr. 7: S. 4749-4759
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-7356-3371; Grosu, Sergio; Graser, Anno; Maurus, Stefan; Schulz, Christian; Knosel, Thomas; Fabritius, Matthias P.; Schachtner, Balthasar; Yeh, Benjamin M.; Cyran, Clemens C.; Ricke, Jens; Kazmierczak, Philipp M. und Ingrisch, Michael
(2022):
Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps.
In: European Radiology, Bd. 32, Nr. 7: S. 4749-4759
[PDF, 1MB]
Gresser, Eva; Schachtner, Balthasar; Stüber, Anna Theresa; Solyanik, Olga; Schreier, Andrea; Huber, Thomas; Froelich, Matthias Frank; Magistro, Giuseppe; Kretschmer, Alexander; Stief, Christian; Ricke, Jens; Ingrisch, Michael und Nörenberg, Dominik
(2022):
Performance variability of radiomics machine learning models for the detection of clinically significant prostate cancer in heterogeneous MRI datasets.
In: Quantitative Imaging in Medicine and Surgery, Bd. 12, Nr. 11
[PDF, 1MB]
Mittermeier, Andreas; Reidler, Paul; Fabritius, Matthias P.; Schachtner, Balthasar; Wesp, Philipp; Ertl-Wagner, Birgit; Dietrich, Olaf; Ricke, Jens; Kellert, Lars; Tiedt, Steffen; Kunz, Wolfgang G. und Ingrisch, Michael
(2022):
End-to-End Deep Learning Approach for Perfusion Data: A Proof-of-Concept Study to Classify Core Volume in Stroke CT.
In: Diagnostics, Bd. 12, Nr. 5
[PDF, 1MB]
Radosa, Christoph Georg; Nadjiri, Jonathan; Mahnken, Andreas H.; Bücker, Arno; Heuser, Lothar J.; Morhard, Dominik; Landwehr, Peter; Berlis, Ansgar; Katoh, Marcus; Reimer, Peter; Schachtner, Balthasar; Ingrisch, Michael; Paprottka, Philipp und Hoffmann, Ralf-Thorsten
(2022):
Availability of Interventional Oncology in Germany in the Years 2018 and 2019-Results from a Nationwide Database (DeGIR Registry Data).
In: Röfo : Fortschritte Auf Dem Gebiet der Röntgenstrahlen und der Bildgebenden Verfahren, Bd. 194, Nr. 7: S. 755-761
Nadjiri, Jonathan; Schachtner, Balthasar; Bücker, Arno; Heuser, Lothar; Morhard, Dominik; Mahnken, Andreas H.; Hoffmann, Ralf-Thorsten; Berlis, Ansgar; Katoh, Marcus; Reimer, Peter; Ingrisch, Michael; Paprottka, Philipp M. und Landwehr, Peter
(2022):
Nationwide Provision of Radiologically-guided Interventional Measures for the Supportive Treatment of Tumor Diseases in Germany - An Analysis of the DeGIR Registry Data.
In: Röfo : Fortschritte Auf Dem Gebiet der Röntgenstrahlen und der Bildgebenden Verfahren, Bd. 194, Nr. 9: S. 993-1002
Feuerecker, Benedikt; Heimer, Maurice M.; Geyer, Thomas; Fabritius, Matthias P.; Gu, Sijing; Schachtner, Balthasar; Beyer, Leonie; Ricke, Jens; Gatidis, Sergios; Ingrisch, Michael und Cyran, Clemens C.
(2022):
Artificial Intelligence in Oncological Hybrid Imaging.
In: Röfo : Fortschritte auf dem Gebiet der Röntgenstrahlen und der Bildgebenden Verfahren, Bd. 195, Nr. 2: S. 105-114
Rueckel, Johannes; Huemmer, Christian; Fieselmann, Andreas; Ghesu, Florin-Cristian; Mansoor, Awais; Schachtner, Balthasar; Wesp, Philipp; Trappmann, Lena; Munawwar, Basel; Ricke, Jens; Ingrisch, Michael und Sabel, Bastian O.
(2021):
Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training.
In: European radiology
[PDF, 2MB]
Rückel, Johannes; Huemmer, Christian; Fieselmann, Andreas; Ghesu, Florin-Cristian; Mansoor, Awais; Schachtner, Balthasar; Wesp, Philipp; Trappmann, Lena; Munawwar, Basel; Ricke, Jens; Ingrisch, Michael und Sabel, Bastian O.
(2021):
Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training.
In: European Radiology, Bd. 31, Nr. 10: S. 7888-7900
Nadjiri, Jonathan; Schachtner, Balthasar; Bucker, Arno; Heuser, Lothar; Morhard, Dominik; Landwehr, Peter; Mahnken, Andreas; Hoffmann, Ralf-Thorsten; Berlis, Ansgar; Katoh, Marcus; Reimer, Peter; Ingrisch, Michael und Paprottka, Philipp M.
(2020):
Availability of Transcatheter Vessel Occlusion Performed by Interventional Radiologists to Treat Bleeding in Germany in the Years 2016 and 2017-An Analysis of the DeGIR Registry Data.
In: Rofo-Fortschritte Auf Dem Gebiet der Rontgenstrahlen und der Bildgebenden Verfahren, Bd. 192, Nr. 10: S. 952-960
Rueckel, Johannes; Trappmann, Lena; Schachtner, Balthasar; Wesp, Philipp; Hoppe, Boj Friedrich; Fink, Nicola; Ricke, Jens; Dinkel, Julien; Ingrisch, Michael und Sabel, Bastian Oliver
(2020):
Impact of Confounding Thoracic Tubes and Pleural Dehiscence Extent on Artificial Intelligence Pneumothorax Detection in Chest Radiographs.
In: Investigative Radiology, Bd. 55, Nr. 12: S. 792-798
Scherer, Jonas; Nolden, Marco; Kleesiek, Jens; Metzger, Jasmin; Kades, Klaus; Schneider, Verena; Bach, Michael; Sedlaczek, Oliver; Bucher, Andreas M.; Vogl, Thomas J.; Gruenwald, Frank; Kuehn, Jens-Peter; Hoffmann, Ralf-Thorsten; Kotzerke, Jörg; Bethge, Oliver; Schimmoeller, Lars; Antoch, Gerald; Müller, Hans-Wilhelm; Daul, Andreas; Nikolaou, Konstantin; la Fougere, Christian; Kunz, Wolfgang G.; Ingrisch, Michael; Schachtner, Balthasar; Ricke, Jens; Bartenstein, Peter; Nensa, Felix; Radbruch, Alexander; Umutlu, Lale; Forsting, Michael; Seifert, Robert; Herrmann, Ken; Mayer, Philipp; Kauczor, Hans-Ulrich; Penzkofer, Tobias; Hamm, Bernd; Brenner, Winfried; Kloeckner, Roman; Duber, Christoph; Schreckenberger, Mathias; Braren, Rickmer; Kaissis, Georgios; Makowski, Marcus; Eiber, Matthias; Gafita, Andrei; Trager, Rupert; Weber, Wolfgang A.; Neubauer, Jakob; Reisert, Marco; Bock, Michael; Bamberg, Fabian; Hennig, Jürgen; Meyer, Philipp Tobias; Ruf, Juri; Haberkorn, Uwe; Schoenberg, Stefan O.; Kuder, Tristan; Neher, Peter; Floca, Ralf; Schlemmer, Heinz-Peter und Maier-Hein, Klaus
(2020):
Joint Imaging Platform for Federated Clinical Data Analytics.
In: Jco Clinical Cancer Informatics, Bd. 4: S. 1027-1038
Konferenzbeitrag
Matic, Andrea; Monnet, Maureen; Lorenz, Jeanette Miriam; Schachtner, Balthasar und Messerer, Thomas
(2022):
Quantum-classical convolutional neural networks in radiological image classification.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE), Broomfield, CO, USA, 18-23 September 2022.
In: 2022 IEEE International Conference on Quantum Computing and Engineering (QCE),
Piscataway, NJ, USA: IEEE. S. 56-66