Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Christopher L. Schlett"'
Autor:
Martin, Soschynski, Muhammad Taha, Hagar, Jana, Taron, Tobias, Krauss, Philipp, Ruile, Manuel, Hein, Thomas, Nührenberg, Maximilian Frederik, Russe, Fabian, Bamberg, Christopher L, Schlett
Publikováno v:
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 194:613-624
Coronary CT angiography (cCTA) is a class 1 recommendation in the current guidelines by the European Society of Cardiology (ESC) for excluding significant coronary artery stenosis. To achieve optimal image quality at a low radiation dose, the imaging
Autor:
Alexander, Rau, Martin, Soschynski, Jana, Taron, Philipp, Ruile, Christopher L, Schlett, Fabian, Bamberg, Tobias, Krauss
Publikováno v:
Radiologie (Heidelberg, Germany)Literatur. 62(11)
Cardiac diseases are the leading cause of death. Many diseases can be specifically treated once a valid diagnosis is established. Cardiac magnetic resonance imaging (MRI) plays a central role in the workup of many cardiac pathologies. However, image
Autor:
Christian Klinger, Wolfgang Rathmann, Elke Maurer, Fabian Bamberg, Mike Notohamiprodjo, Sven S. Walter, Annette Peters, Roberto Lorbeer, Christopher L. Schlett, Konstantin Nikolaou
Publikováno v:
The Spine Journal. 20:1386-1396
The correlation between physical inactivity, thoracolumbar disc degeneration, and back pain remains unclear.This study investigated the relationship between short- and long-term physical inactivity and degenerative changes of the thoracic and lumbar
Autor:
Alexander Ivanov, Márton Kolossváry, Béla Merkely, Hugo J.W.L. Aerts, Borek Foldyna, Udo Hoffmann, Yasuka Kikuchi, Christopher L. Schlett, Pál Maurovich-Horvat, Michael T. Lu, Júlia Karády
Publikováno v:
Radiology
Background Visual and histogram-based assessments of coronary CT angiography have limited accuracy in the identification of advanced lesions. Radiomics-based machine learning (ML) could provide a more accurate tool. Purpose To compare the diagnostic
Autor:
Susanne Rospleszcz, Carlo N. De Cecco, Jürgen Machann, Helmut Messmann, Christopher L. Schlett, Corinna Storz, Theresa Rothenbacher, Jakob Linseisen, Stefanie Elser, Annette Peters, Wolfgang Rathmann, Lena S. Kiefer, Esther Askani, Fabian Bamberg
To determine the association of asymptomatic diverticular disease as assessed by magnetic resonance imaging (MRI) with adipose tissue compartments, hepatic steatosis and constitutional risk factors within a cohort drawn from a Western general populat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7acf1e8b653e8830f318d1ac11dcf8c3
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/80486
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/80486
Autor:
Holger Hetterich, Sigrid Auweter, Birgit Linkohr, Susanne Rospleszcz, Christopher L. Schlett, Annette Peters, Sabine Weckbach, Margit Heier, Fabian Bamberg, Birgit Ertl-Wagner, Sonja Selder, Roberto Lorbeer, Dorina Korbmacher
Publikováno v:
European journal of radiology. 134
Objectives Management of incidental findings (IF) remains controversial but highly relevant. Our aim was to assess the frequency, management and psychosocial consequences of IF reporting in a population-based cohort study undergoing whole-body MR ima
Autor:
Jakob Linseisen, Sophia Stoecklein, Franziska Galiè, Susanne Rospleszcz, Christopher L. Schlett, Daniel Keeser, Sergio Grosu, Lars Schwettmann, Ben Min-Woo Illigens, Roberto Lorbeer, Ebba Beller, Karl-Heinz Ladwig, Sonja Selder, Annette Peters, Birgit Ertl-Wagner, Sigrid Auweter, Wolfgang Rathmann, Fabian Bamberg
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Scientific Reports
Sci. Rep. 10:8363 (2020)
Scientific Reports
Sci. Rep. 10:8363 (2020)
To identify the most important factors that impact brain volume, while accounting for potential collinearity, we used a data-driven machine-learning approach. Gray Matter Volume (GMV) was derived from magnetic resonance imaging (3T, FLAIR) and adjust
Autor:
Susanne Rospleszcz, Christian Wachinger, Christopher L. Schlett, Annette Peters, Wolfgang Rathmann, Sergios Gatidis, Daniel Gutmann, Fabian Bamberg
Publikováno v:
Academic radiology. 28
Rationale and Objectives To investigate radiomics features of hepatic fat as potential biomarkers of type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS) in individuals without overt cardiovascular disease, and benchmarking against hepatic p
Autor:
Christopher L. Schlett, Wolfgang Rathmann, Wieland H. Sommer, Maximilian F. Reiser, Udo Hoffmann, Susanne Rospleszcz, Corinna Storz, Margit Heier, Christa Meisinger, Annette Peters, Sigrid Auweter, Sergios Gatidis, Holger Hetterich, Roberto Lorbeer, Fabian Bamberg, Birgit Linkohr, Juergen Machann
Publikováno v:
Invest. Radiol. 53, 357-364 (2018)
Introduction Detailed mechanisms in the pathophysiology of diabetes disease are poorly understood, but structural alterations in various organ systems incur an elevated risk for cardiovascular events and adverse outcome. The aim of this study was to
Autor:
Jan Mueller, Christopher L. Schlett, Roberto Lorbeer, Wolfgang G. Kunz, Tatyana Ivanovska, Stefan Karrasch, Holger Schulz, Ricarda von Krüchten, Andreas Pomschar, Annette Peters, Fabian Bamberg
Publikováno v:
Eur. Radiol. 29, 1595-1606 (2019)
Whole-body MR imaging is increasingly utilised; although for lung dedicated sequences are often not included, the chest is typically imaged. Our objective was to determine the clinical utility of lung volumes derived from non-dedicated MRI sequences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03ace3235f98471b4b2bc0291a8cb254
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=54326
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=54326