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IEEE Transactions on Medical Imaging|October 10, 2006
Blockwise processing applied to brain microvascular network studyCéline Fouard, Grégoire Malandain, Steffen Prohaska, et al.Studies in Health Technology and Informatics|October 1, 2004
Automatic segmentation of the liver for preoperative planning of resectionsHans Lamecker, Thomas Lange, Martin Seebass, et al.Abdominal Radiology (New York)|September 18, 2024
Quality assessment of expedited AI generated reformatted images for ED acquired CT abdomen and pelvis imagingDaniel Freedman, Barun Bagga, Kira Melamud, et al.Skeletal Radiology|October 18, 2025
Real-world diagnostic performance of knee MRI protocols accelerated using simultaneous multi-slice acquisition and deep learning reconstructionPatricia M Johnson, Siddhant Dogra, Malte Westerhoff, et al.The Journal of Comparative Neurology|September 22, 2005
Three-dimensional average-shape atlas of the honeybee brain and its applicationsRobert Brandt, Torsten Rohlfing, Jürgen Rybak, et al.AJR. American Journal of Roentgenology|April 20, 2022
Video Radiology Reports: A Valuable Tool to Improve Patient-Centered RadiologyMichael P Recht, Malte Westerhoff, Ankur M Doshi, et al.American Heart Journal|April 26, 2025
Opportunistic assessment of abdominal aortic calcification using artificial intelligence (AI) predicts coronary artery disease and cardiovascular eventsJeffrey S Berger, Chen Lyu, Eduardo Iturrate, et al.Radiology|November 11, 2025
Deep Learning-based Opportunistic CT Osteoporosis Screening and the Establishment of Normative ValuesMalte Westerhoff, Soterios Gyftopoulos, Bari Dane, et al.Journal of Medical Systems|December 11, 2025
Implementing a Combined Lesion Measurement Tool in Hybrid PET Imaging to Reduce Clicks in Routine Clinical Practice: a Single-Center Brief ReportAnton S Becker, Norbert Lindow, Ariella Noorily, et al.Clinical Imaging|July 8, 2023
PACS-integrated machine learning breast density classifier: clinical validationJohn Lewin, Sven Schoenherr, Martin Seebass, et al.Pageof 2