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Eine Ebene höherGruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 4
2022
Rudolph, Jan; Hümmer, Christian; Ghesu, Florin-Cristian; Mansoor, Awais; Preuhs, Alexander; Fieselmann, Andreas; Fink, Nicola; Dinkel, Julien; Koliogiannis, Vanessa; Schwarze, Vincent; Goller, Sophia; Fischer, Maximilian; Jörgens, Maximilian; Ben Khaled, Najib; Vishwanath, Reddappagari Suryanarayana; Balachandran, Abishek; Ingrisch, Michael; Ricke, Jens; Sabel, Bastian Oliver und Rueckel, Johannes
(2022):
Artificial Intelligence in Chest Radiography Reporting Accuracy Added Clinical Value in the Emergency Unit Setting Without 24/7 Radiology Coverage.
In: Investigative Radiology, Bd. 57, Nr. 2: S. 90-98
2021
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]
Homayounieh, Fatemeh; Digumarthy, Subba; Ebrahimian, Shadi; Rueckel, Johannes; Hoppe, Boj Friedrich; Sabel, Bastian Oliver; Conjeti, Sailesh; Ridder, Karsten; Sistermanns, Markus; Wang, Lei; Preuhs, Alexander; Ghesu, Florin; Mansoor, Awais; Moghbel, Mateen; Botwin, Ariel; Singh, Ramandeep; Cartmell, Samuel; Patti, John; Huemmer, Christian; Fieselmann, Andreas; Joerger, Clemens; Mirshahzadeh, Negar; Muse, Victorine und Kalra, Mannudeep
(2021):
An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study.
In: Jama Network Open, Bd. 4, Nr. 12, e2141096
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