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IEEE Transactions on Medical Imaging|August 2, 2008
Fast noise reduction in computed tomography for improved 3-D visualizationMichiel Schaap, Arnold M R Schilham, Karel J Zuiderveld, et al.
Medical Image Analysis|December 25, 2016
Robust cranial cavity segmentation in CT and CT perfusion images of trauma and suspected stroke patientsAjay Patel, Bram van Ginneken, Frederick J A Meijer, et al.
Radiology|April 28, 2006
Dynamic CT measurement of pulmonary enhancement in piglets with experimental acute respiratory distress syndromeClaudia Schueller-Weidekamm, Esther Wassermann, Heinz Redl, et al.
The Knee|January 6, 2023
Fully automatic extraction of knee kinematics from dynamic CT imaging; normative tibiofemoral and patellofemoral kinematics of 100 healthy volunteersHans Dunning, S A W van de Groes, C F Buckens, et al.
European Radiology|January 19, 2013
Calcium at the carotid siphon as an indicator of internal carotid artery stenosisNikola Gotovac, Ivana Išgum, Max A Viergever, et al.
Investigative Radiology|May 23, 2008
Comparison of radiologist and CAD performance in the detection of CT-confirmed subtle pulmonary nodules on digital chest radiographsThorsten Alexander Bley, Tobias Baumann, Ulrich Saueressig, et al.
Biology|December 30, 2020
Barriers and Facilitators for Implementation of a Computerized Clinical Decision Support System in Lung Cancer Multidisciplinary Team Meetings-A Qualitative AssessmentSosse E Klarenbeek, Olga C J Schuurbiers-Siebers, Michel M van den Heuvel, et al.
AJR. American Journal of Roentgenology|October 24, 2003
Impact of ambient light and window settings on the detectability of catheters on soft-copy display of chest radiographs at bedsideMichael H Fuchsjäger, Cornelia M Schaefer-Prokop, Edith Eisenhuber, et al.
European Journal of Radiology Open|September 23, 2020
Measurement of coronary artery calcium volume using ultra-high-resolution computed tomography: A preliminary phantom and cadaver studyWataru Fukumoto, Mami Nagaoka, Toru Higaki, et al.
Computers in Biology and Medicine|December 30, 2024
Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detectionDré Peeters, Kiran V Venkadesh, Renate Dinnessen, et al.
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