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Acta Radiologica (Stockholm, Sweden : 1987)|April 17, 2016
Comparison of central and local serial CT assessments of metastatic renal cell carcinoma patients in a clinical phase IIB studyMoritz Felsch, Souhil Zaim, Volker Dicken, et al.
International Journal of Environmental Research and Public Health|September 10, 2021
A Statistical Model to Assess Risk for Supporting COVID-19 Quarantine DecisionsSonja Jäckle, Elias Röger, Volker Dicken, et al.
IEEE Transactions on Visualization and Computer Graphics|November 4, 2006
Real-time illustration of vascular structuresFelix Ritter, Christian Hansen, Volker Dicken, et al.
International Journal of Computer Assisted Radiology and Surgery|June 1, 2010
Rapid image recognition of body parts scanned in computed tomography datasetsVolker Dicken, B Lindow, L Bornemann, et al.
IEEE Transactions on Medical Imaging|April 13, 2006
Morphological segmentation and partial volume analysis for volumetry of solid pulmonary lesions in thoracic CT scansJan-Martin Kuhnigk, Volker Dicken, Lars Bornemann, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 3, 2018
Evaluation of deep learning methods for parotid gland segmentation from CT imagesAnnika Hänsch, Michael Schwier, Tobias Gass, et al.
Journal of Digital Imaging|September 6, 2008
Variability of semiautomated lung nodule volumetry on ultralow-dose CT: comparison with nodule volumetry on standard-dose CTPatrick A Hein, Valentina C Romano, Patrik Rogalla, et al.
Nuclear Medicine Communications|April 27, 2007
A novel iterative method for lesion delineation and volumetric quantification with FDG PETJorn A van Dalen, Aswin L Hoffmann, Volker Dicken, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|March 31, 2005
Informatics in radiology (infoRAD): new tools for computer assistance in thoracic CT. Part 1. Functional analysis of lungs, lung lobes, and bronchopulmonary segmentsJan-Martin Kuhnigk, Volker Dicken, Stephan Zidowitz, et al.
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