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Ulrich Genske

Showing results (1-10 of 10) with videos related to

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Radiology|March 8, 2022
Human Observer Net: A Platform Tool for Human Observer Studies of Image DataUlrich Genske, Paul Jahnke
Briefings in Bioinformatics|July 23, 2021
Deep learning-based real-time detection of novel pathogens during sequencingJakub M Bartoszewicz, Ulrich Genske, Bernhard Y Renard
European Radiology|February 17, 2022
Deep learning reconstruction improves radiomics feature stability and discriminative power in abdominal CT imaging: a phantom studyFlorian Michallek, Ulrich Genske, Stefan Markus Niehues, et al.
European Radiology Experimental|July 24, 2024
Low-contrast lesion detection in neck CT: a multireader study comparing deep learning, iterative, and filtered back projection reconstructions using realistic phantomsQuirin Bellmann, Yang Peng, Ulrich Genske, et al.
European Radiology|September 3, 2021
Comparison of low-contrast detectability between uniform and anatomically realistic phantoms-influences on CT image quality assessmentJuliane Conzelmann, Ulrich Genske, Arthur Emig, et al.
European Radiology|November 5, 2020
Task-based assessment of neck CT protocols using patient-mimicking phantoms-effects of protocol parameters on dose and diagnostic performancePaul Jahnke, Juliane Conzelmann, Ulrich Genske, et al.
European Radiology|March 30, 2020
3D printing of anatomically realistic phantoms with detection tasks to assess the diagnostic performance of CT imagesGracia Lana Ardila Pardo, Juliane Conzelmann, Ulrich Genske, et al.
Academic Radiology|March 22, 2025
Size and Contrast Thresholds for Liver Lesion Detection in Regular and Low-dose CT Examinations: A Reader Study of 2300 Synthetic Lesions Across 100 PatientsLi Yan, Ulrich Genske, Yang Peng, et al.
Journal of Immunology (Baltimore, Md. : 1950)|June 28, 2015
Deficient NLRP3 and AIM2 Inflammasome Function in Autoimmune NZB MiceDavid P Sester, Vitaliya Sagulenko, Sara J Thygesen, et al.
Bioinformatics (Oxford, England)|July 8, 2022
CovRadar: continuously tracking and filtering SARS-CoV-2 mutations for genomic surveillanceAlice Wittig, Fábio Miranda, Martin Hölzer, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Radiology|March 8, 2022
Human Observer Net: A Platform Tool for Human Observer Studies of Image DataUlrich Genske, Paul Jahnke
Briefings in Bioinformatics|July 23, 2021
Deep learning-based real-time detection of novel pathogens during sequencingJakub M Bartoszewicz, Ulrich Genske, Bernhard Y Renard
European Radiology|February 17, 2022
Deep learning reconstruction improves radiomics feature stability and discriminative power in abdominal CT imaging: a phantom studyFlorian Michallek, Ulrich Genske, Stefan Markus Niehues, et al.
European Radiology Experimental|July 24, 2024
Low-contrast lesion detection in neck CT: a multireader study comparing deep learning, iterative, and filtered back projection reconstructions using realistic phantomsQuirin Bellmann, Yang Peng, Ulrich Genske, et al.
European Radiology|September 3, 2021
Comparison of low-contrast detectability between uniform and anatomically realistic phantoms-influences on CT image quality assessmentJuliane Conzelmann, Ulrich Genske, Arthur Emig, et al.
European Radiology|November 5, 2020
Task-based assessment of neck CT protocols using patient-mimicking phantoms-effects of protocol parameters on dose and diagnostic performancePaul Jahnke, Juliane Conzelmann, Ulrich Genske, et al.
European Radiology|March 30, 2020
3D printing of anatomically realistic phantoms with detection tasks to assess the diagnostic performance of CT imagesGracia Lana Ardila Pardo, Juliane Conzelmann, Ulrich Genske, et al.
Academic Radiology|March 22, 2025
Size and Contrast Thresholds for Liver Lesion Detection in Regular and Low-dose CT Examinations: A Reader Study of 2300 Synthetic Lesions Across 100 PatientsLi Yan, Ulrich Genske, Yang Peng, et al.
Journal of Immunology (Baltimore, Md. : 1950)|June 28, 2015
Deficient NLRP3 and AIM2 Inflammasome Function in Autoimmune NZB MiceDavid P Sester, Vitaliya Sagulenko, Sara J Thygesen, et al.
Bioinformatics (Oxford, England)|July 8, 2022
CovRadar: continuously tracking and filtering SARS-CoV-2 mutations for genomic surveillanceAlice Wittig, Fábio Miranda, Martin Hölzer, et al.
Pageof 1