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8 results for Nagel,+Sebastian+N.

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ArticlesPeer ReviewedFull Text
CT radiomics to predict Deauville score 4 positive and negative Hodgkin lymphoma manifestations
Author / Creator:Jensen, Laura J. ; Rogasch, Julian M. M. ; Kim, Damon ; Rießelmann, Juliana ; Furth, Christian ; Amthauer, Holger ; Hamm, Bernd ; Steffen, Ingo G. ; Elgeti, Thomas ; Nagel, Sebastian N.
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2022-11, Vol.12 (1), p.20008-20008, Article 20008
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Detecting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions Using T2w-Derived Radiomics Feature Maps in 3T Prostate MRI
Author / Creator:Jensen, Laura J. ; Kim, Damon ; Elgeti, Thomas ; Steffen, Ingo G. ; Schaafs, Lars-Arne ; Haas, Matthias ; Kurz, Lukas J. ; Hamm, Bernd ; Nagel, Sebastian N.
Publisher:Switzerland: MDPI AG
Journal title:Current oncology (Toronto), 2024-11, Vol.31 (11), p.6814-6828
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Enhancing the stability of CT radiomics across different volume of interest sizes using parametric feature maps: a phantom study
Author / Creator:Jensen, Laura J. ; Kim, Damon ; Elgeti, Thomas ; Steffen, Ingo G. ; Schaafs, Lars-Arne ; Hamm, Bernd ; Nagel, Sebastian N.
Publisher:Vienna: Springer Vienna
Journal title:European radiology experimental, 2022-09, Vol.6 (1), p.43-43, Article 43
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Evaluation of left ventricular function in patients with acute ischaemic stroke using cine cardiovascular magnetic resonance imaging
Author / Creator:Hellwig, Simon ; Grittner, Ulrike ; Elgeti, Matthias ; Wyschkon, Sebastian ; Nagel, Sebastian N. ; Fiebach, Jochen B. ; Krause, Thomas ; Herm, Juliane ; Scheitz, Jan F. ; Endres, Matthias ; Nolte, Christian H. ; Haeusler, Karl Georg ; Elgeti, Thomas
Publisher:England: John Wiley & Sons, Inc
Journal title:ESC Heart Failure, 2020-10, Vol.7 (5), p.2572-2580
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Age-dependent diagnostic accuracy of clinical scoring systems and D-dimer levels in the diagnosis of pulmonary embolism with computed tomography pulmonary angiography (CTPA)
Author / Creator:Nagel, Sebastian N ; Steffen, Ingo G ; Schwartz, Stefan ; Hamm, Bernd ; Elgeti, Thomas
Publisher:Heidelberg: Springer Nature B.V
Journal title:European radiology, 2019-09, Vol.29 (9), p.4563-4571
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Two-Stage Deep Learning Model for Automated Segmentation and Classification of Splenomegaly
Author / Creator:Meddeb, Aymen ; Kossen, Tabea ; Bressem, Keno K. ; Molinski, Noah ; Hamm, Bernd ; Nagel, Sebastian N.
Publisher:Switzerland: MDPI AG
Journal title:Cancers, 2022-11, Vol.14 (22), p.5476
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Enhancing the differentiation of pulmonary lymphoma and fungal pneumonia in hematological patients using texture analysis in 3-T MRI
Author / Creator:Kim, Damon ; Elgeti, Thomas ; Penzkofer, Tobias ; Steffen, Ingo G. ; Jensen, Laura J. ; Schwartz, Stefan ; Hamm, Bernd ; Nagel, Sebastian N.
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2021-02, Vol.31 (2), p.695-705
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Outcome analysis in 3,160 implantations of radiologically guided placements of totally implantable central venous port systems
Author / Creator:Teichgräber, Ulf K. M. ; Kausche, Stephan ; Nagel, Sebastian N. ; Gebauer, Bernhard
Publisher:Berlin/Heidelberg: Springer-Verlag
Journal title:European radiology, 2011-06, Vol.21 (6), p.1224-1232
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CT radiomics to predict Deauville score 4 positive and negative Hodgkin lymphoma manifestations

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Detecting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions Using T2w-Derived Radiomics Feature Maps in 3T Prostate MRI

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Enhancing the stability of CT radiomics across different volume of interest sizes using parametric feature maps: a phantom study

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Evaluation of left ventricular function in patients with acute ischaemic stroke using cine cardiovascular magnetic resonance imaging

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Age-dependent diagnostic accuracy of clinical scoring systems and D-dimer levels in the diagnosis of pulmonary embolism with computed tomography pulmonary angiography (CTPA)

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Two-Stage Deep Learning Model for Automated Segmentation and Classification of Splenomegaly

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Enhancing the differentiation of pulmonary lymphoma and fungal pneumonia in hematological patients using texture analysis in 3-T MRI

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Outcome analysis in 3,160 implantations of radiologically guided placements of totally implantable central venous port systems

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