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Peters, Alan Arthur; Munz, Jaro; Klaus, Jeremias Bendicht; Macek, Ana; Huber, Adrian Thomas; Obmann, Verena Carola; Alsaihati, Njood; Samei, Ehsan; Valenzuela, Waldo; Christe, Andreas; Heverhagen, Johannes Thomas; Solomon, Justin Bennion; Ebner, Lukas (2024). Impact of Simulated Reduced-Dose Chest CT on Diagnosing Pulmonary T1 Tumors and Patient Management. Diagnostics, 14(15), p. 1586. MDPI 10.3390/diagnostics14151586
Klaus, Jeremias B; Christodoulidis, Stergios; Peters, Alan A; Hourscht, Cynthia; Loebelenz, Laura I; Munz, Jaro; Schroeder, Christophe; Sieron, Dominik; Drakopoulos, Dionysios; Stadler, Severin; Heverhagen, Johannes T; Prosch, Helmut; Huber, Adrian; Pohl, Moritz; Mougiakakou, Stavroula; Christe, Andreas; Ebner, Lukas (2023). Influence of Lung Reconstruction Algorithms on Interstitial Lung Pattern Recognition on CT. RöFo. Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, 195(1), pp. 47-54. Thieme 10.1055/a-1901-7814
Peters, Alan A.; Decasper, Amanda; Munz, Jaro; Klaus, Jeremias; Loebelenz, Laura I.; Hoffner, Maximilian Korbinian Michael; Hourscht, Cynthia; Heverhagen, Johannes T.; Christe, Andreas; Ebner, Lukas (2021). Performance of an AI based CAD system in solid lung nodule detection on chest phantom radiographs compared to radiology residents and fellow radiologists. Journal of thoracic disease, 13(5), pp. 2728-2737. AME Publishing Company 10.21037/jtd-20-3522
Solomon, Justin; Ebner, Lukas; Christe, Andreas; Peters, Alan; Munz, Jaro; Löbelenz, Laura; Klaus, Jeremias; Richards, Taylor; Samei, Ehsan; Roos, Justus E (2021). Minimum perceivable size difference: how well can radiologists visually detect a change in lung nodule size from CT images? European radiology, 31(4), pp. 1947-1955. Springer-Verlag 10.1007/s00330-020-07326-2
Fontanellaz, Matthias Andreas; Ebner, Lukas; Huber, Adrian; Peters, Alan; Löbelenz, Laura; Hourscht, Cynthia; Klaus, Jeremias; Munz, Jaro; Ruder, Thomas; Drakopoulos, Dionysios; Sieron, Dominik; Primetis, Elias; Heverhagen, Johannes; Mougiakakou, Stavroula; Christe, Andreas (2020). A Deep-Learning Diagnostic Support System for the Detection of COVID-19 Using Chest Radiographs: A Multireader Validation Study. Investigative radiology, 56(6), pp. 348-356. Wolters Kluwer Health 10.1097/RLI.0000000000000748
