Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Sebastian N Nagel"'
Autor:
Laura J. Jensen, Julian M. M. Rogasch, Damon Kim, Juliana Rießelmann, Christian Furth, Holger Amthauer, Bernd Hamm, Ingo G. Steffen, Thomas Elgeti, Sebastian N. Nagel
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract 18F-FDG-PET/CT is standard to assess response in Hodgkin lymphoma by quantifying metabolic activity with the Deauville score. PET/CT, however, is time-consuming, cost-extensive, linked to high radiation and has a low availability. As an alte
Externí odkaz:
https://doaj.org/article/3690e0d83da742e68689b589974ed1e2
Autor:
Laura J. Jensen, Damon Kim, Thomas Elgeti, Ingo G. Steffen, Lars-Arne Schaafs, Bernd Hamm, Sebastian N. Nagel
Publikováno v:
European Radiology Experimental, Vol 6, Iss 1, Pp 1-9 (2022)
Abstract Background In radiomics studies, differences in the volume of interest (VOI) are often inevitable and may confound the extracted features. We aimed to correct this confounding effect of VOI variability by applying parametric maps with a fixe
Externí odkaz:
https://doaj.org/article/0b99043ce3f54606886c4f6f63ca73f1
Publikováno v:
Tomography, Vol 7, Iss 4, Pp 950-960 (2021)
The aim of this study was to develop a deep learning-based algorithm for fully automated spleen segmentation using CT images and to evaluate the performance in conditions directly or indirectly affecting the spleen (e.g., splenomegaly, ascites). For
Externí odkaz:
https://doaj.org/article/282ae00fe82b42a0b969c30624d77061
Publikováno v:
Tomography, Vol 7, Iss 4, Pp 866-876 (2021)
We aimed to evaluate the stability of radiomic features in the liver of healthy individuals across different three-dimensional regions of interest (3D ROI) sizes in T1-weighted (T1w) and T2-weighted (T2w) images from different MR scanners. We retrosp
Externí odkaz:
https://doaj.org/article/0c4046876bce4d1bac352abe0486f56c
Publikováno v:
Tomography, Vol 7, Iss 3, Pp 477-487 (2021)
Aim was to develop a user-friendly method for creating parametric maps that would provide a comprehensible visualization and allow immediate quantification of radiomics features. For this, a self-explanatory graphical user interface was designed, and
Externí odkaz:
https://doaj.org/article/267fb22fca2e4ef3b1e725258573d1c1
Publikováno v:
Tomography, Vol 7, Iss 2, Pp 238-252 (2021)
We aimed to evaluate radiomic features’ stability across different region of interest (ROI) sizes in CT and MR images. We chose a phantom with a homogenous internal structure so no differences for a feature extracted from ROIs of different sizes wo
Externí odkaz:
https://doaj.org/article/f0588df0a6264fe88fd5a3db4e0070e5
Autor:
Simon Hellwig, Ulrike Grittner, Matthias Elgeti, Sebastian Wyschkon, Sebastian N. Nagel, Jochen B. Fiebach, Thomas Krause, Juliane Herm, Jan F. Scheitz, Matthias Endres, Christian H. Nolte, Karl Georg Haeusler, Thomas Elgeti
Publikováno v:
ESC Heart Failure, Vol 7, Iss 5, Pp 2572-2580 (2020)
Abstract Aims Heart failure (HF) is frequent in patients with acute ischaemic stroke (AIS) and associated with higher morbidity and mortality. Assessment of cardiac function in AIS patients using cardiovascular MRI (CMR) may help to detect HF. We rep
Externí odkaz:
https://doaj.org/article/9a35b66f39eb4874a74fe701b8519461
Publikováno v:
Cancers, Vol 14, Iss 22, p 5476 (2022)
Splenomegaly is a common cross-sectional imaging finding with a variety of differential diagnoses. This study aimed to evaluate whether a deep learning model could automatically segment the spleen and identify the cause of splenomegaly in patients wi
Externí odkaz:
https://doaj.org/article/1628911969164223906e406030411466
Autor:
Regina von Rennenberg, Juliane Herm, Thomas Krause, Simon Hellwig, Helena Stengl, Jan F Scheitz, Thomas Elgeti, Sebastian N Nagel, Matthias Endres, Karl Georg Haeusler, Christian H Nolte
Publikováno v:
International journal of stroke 18(2), 180-186 (2023). doi:10.1177/17474930221095698
Introduction: Cardiac biomarkers, such as high-sensitivity cardiac troponin T (hs-cTnT), are frequently elevated in ischemic stroke patients but the mechanisms underlying this elevation are insufficiently understood. We determined the presence of car
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4bb364e47551f6603d25a2a189aadfc
Autor:
Bernd Hamm, Laura J. Jensen, Stefan Schwartz, Ingo G. Steffen, Thomas Elgeti, Tobias Penzkofer, Sebastian N. Nagel, Damon Kim
Publikováno v:
European Radiology
Objectives To evaluate texture analysis in nonenhanced 3-T MRI for differentiating pulmonary fungal infiltrates and lymphoma manifestations in hematological patients and to compare the diagnostic performance with that of signal intensity quotients (