Munz, Jaro Manuele

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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, AA; Munz, JM; Klaus, JB; Macek, A; Christe, A; Huber, AT; Alsaihati, N; Samei, E; Heverhagen, J; Solomon, JB; Ebner, L (2023). Performance of Ultra-Low Dose CT in confirmed T1-Tumors of the Lung: Evaluation of Simulated Ultra-Low Dose CT Images (Unpublished). In: Swiss Congress of Radiology (SCR), 2023. Davos. June 2023.

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

Ebner, L.; Klaus, J.; Loebelenz, L.; Munz, J.; Peters, A.; Schroeder, C.; Hourscht, C.; Drakopoulos, D.; Sieron, D.; Heverhagen, J.; Christe, A. (2020). INFLUENCE OF SOFT VS HARD COMPUTED TOMOGRAPHY RECONSTRUCTION KERNEL ON RADIOLOGICAL PATTERN RECOGNITION. Chest, 157(6), A224. American College of Chest Physicians 10.1016/j.chest.2020.05.251

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