Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Constantin Anastasopoulos"'
Autor:
Constantin Anastasopoulos, Shan Yang, Maurice Pradella, Tugba Akinci D’Antonoli, Sven Knecht, Joshy Cyriac, Marco Reisert, Elias Kellner, Rita Achermann, Philip Haaf, Bram Stieltjes, Alexander W. Sauter, Jens Bremerich, Gregor Sommer, Ahmed Abdulkadir
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 23, Iss 1, Pp 1-10 (2021)
Abstract Background Artificial intelligence can assist in cardiac image interpretation. Here, we achieved a substantial reduction in time required to read a cardiovascular magnetic resonance (CMR) study to estimate left atrial volume without compromi
Externí odkaz:
https://doaj.org/article/2c7dad674455468f9cb132fffb8fde99
Autor:
Maurice Pradella, Constantin Anastasopoulos, Shan Yang, Manuela Moor, Patrick Badertscher, Julian E Gehweiler, Florian Spies, Philip Haaf, Michael Zellweger, Gregor Sommer, Bram Stieltjes, Jens Bremerich, Stefan Osswald, Michael Kühne, Christian Sticherling, Sven Knecht
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0272011 (2022)
BackgroundAtrial fibrillation (AF) has been linked to left atrial (LA) enlargement. Whereas most studies focused on 2D-based estimation of static LA volume (LAV), we used a fully-automatic convolutional neural network (CNN) for time-resolved (CINE) v
Externí odkaz:
https://doaj.org/article/84a98c817cc1467bb7a4137345a8f80e
Autor:
Andrej Romanov, Michael Bach, Shan Yang, Fabian C. Franzeck, Gregor Sommer, Constantin Anastasopoulos, Jens Bremerich, Bram Stieltjes, Thomas Weikert, Alexander Walter Sauter
Publikováno v:
Diagnostics, Vol 11, Iss 5, p 738 (2021)
CT patterns of viral pneumonia are usually only qualitatively described in radiology reports. Artificial intelligence enables automated and reliable segmentation of lungs with chest CT. Based on this, the purpose of this study was to derive meaningfu
Externí odkaz:
https://doaj.org/article/e8d94cac4b334794915737a86d317755
Autor:
Raphael, Sexauer, Shan, Yang, Thomas, Weikert, Julien, Poletti, Jens, Bremerich, Jan Adam, Roth, Alexander Walter, Sauter, Constantin, Anastasopoulos
Publikováno v:
Investigative Radiology. 57:552-559
This study trained and evaluated algorithms to detect, segment, and classify simple and complex pleural effusions on computed tomography (CT) scans.For detection and segmentation, we randomly selected 160 chest CT scans out of all consecutive patient
Autor:
Tugba Akinci D'Antonoli, Shan Yang, Gregor Sommer, Constantin Anastasopoulos, Marco Reisert, Sven Knecht, Rita Achermann, Maurice Pradella, Philip Haaf, Elias Kellner, Ahmed Abdulkadir, Bram Stieltjes, Jens Bremerich, Joshy Cyriac, Alexander W. Sauter
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 23, Iss 1, Pp 1-10 (2021)
Journal of Cardiovascular Magnetic Resonance
Anastasopoulos, Constantin; Yang, Shan; Pradella, Maurice; Akinci D’Antonoli, Tugba; Knecht, Sven; Cyriac, Joshy; Reisert, Marco; Kellner, Elias; Achermann, Rita; Haaf, Philip; Stieltjes, Bram; Sauter, Alexander W.; Bremerich, Jens; Sommer, Gregor; Abdulkadir, Ahmed (2021). Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium. Journal of cardiovascular magnetic resonance, 23(1), p. 133. BioMed Central 10.1186/s12968-021-00791-8
Journal of Cardiovascular Magnetic Resonance
Anastasopoulos, Constantin; Yang, Shan; Pradella, Maurice; Akinci D’Antonoli, Tugba; Knecht, Sven; Cyriac, Joshy; Reisert, Marco; Kellner, Elias; Achermann, Rita; Haaf, Philip; Stieltjes, Bram; Sauter, Alexander W.; Bremerich, Jens; Sommer, Gregor; Abdulkadir, Ahmed (2021). Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium. Journal of cardiovascular magnetic resonance, 23(1), p. 133. BioMed Central 10.1186/s12968-021-00791-8
Background Artificial intelligence can assist in cardiac image interpretation. Here, we achieved a substantial reduction in time required to read a cardiovascular magnetic resonance (CMR) study to estimate left atrial volume without compromising accu
Autor:
Thomas Weikert, Michael Bach, Shan Yang, Constantin Anastasopoulos, Bram Stieltjes, Jens Bremerich, Fabian C. Franzeck, Gregor Sommer, Andrej Romanov, Alexander W. Sauter
Publikováno v:
Diagnostics, Vol 11, Iss 738, p 738 (2021)
Diagnostics
Diagnostics; Volume 11; Issue 5; Pages: 738
Diagnostics
Diagnostics; Volume 11; Issue 5; Pages: 738
CT patterns of viral pneumonia are usually only qualitatively described in radiology reports. Artificial intelligence enables automated and reliable segmentation of lungs with chest CT. Based on this, the purpose of this study was to derive meaningfu
Autor:
Bram Stieltjes, Alexander W. Sauter, Anne Michel, Jasmin D. Haslbauer, Fabian C. Franzeck, Jens Bremerich, Katharina Marston, Constantin Anastasopoulos, Maurice Henkel, Alexandar Tzankov, Gregor Sommer, Thomas Weikert, Thomas Menter, Nathalie Schwab, Kirsten D. Mertz
Publikováno v:
Radiology. Cardiothoracic Imaging
Background CT has emerged as an important diagnostic tool in COVID-19, but the underlying pathological changes behind CT findings are not yet fully elucidated. Purpose The purpose of this retrospective study was to correlate CT patterns of fatal case
Autor:
Alexander W. Sauter, Ahmed Abdulkadir, Thomas Weikert, Claudia Bühler, Ivan Nesic, Shan Yang, Constantin Anastasopoulos, Raphael Sexauer, Gregor Sommer, Raphael Twerenbold, Bram Stieltjes, Fabiano Paciolla, Joshy Cyriac, Jens Bremerich, Lena Schmülling
Publikováno v:
European Journal of Radiology
Anastasopoulos, Constantin; Weikert, Thomas; Yang, Shan; Abdulkadir, Ahmed; Schmülling, Lena; Bühler, Claudia; Paciolla, Fabiano; Sexauer, Raphael; Cyriac, Joshy; Nesic, Ivan; Twerenbold, Raphael; Bremerich, Jens; Stieltjes, Bram; Sauter, Alexander W.; Sommer, Gregor (2020). Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform and machine learning. European journal of radiology, 131, p. 109233. Elsevier 10.1016/j.ejrad.2020.109233
Anastasopoulos, Constantin; Weikert, Thomas; Yang, Shan; Abdulkadir, Ahmed; Schmülling, Lena; Bühler, Claudia; Paciolla, Fabiano; Sexauer, Raphael; Cyriac, Joshy; Nesic, Ivan; Twerenbold, Raphael; Bremerich, Jens; Stieltjes, Bram; Sauter, Alexander W.; Sommer, Gregor (2020). Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform and machine learning. European journal of radiology, 131, p. 109233. Elsevier 10.1016/j.ejrad.2020.109233
Highlights • It is feasible to develop clinically useful AI-based software for quantification of pulmonary opacities in COVID-19 in just 10 days. • An established pipeline for fast transition of prototypes to full clinical implementation is an im
Autor:
Thomas Weikert, Raphael Twerenbold, Alexander W. Sauter, Jens Bremerich, Sasa Grbic, Constantin Anastasopoulos, Benedikt J. Wiggli, David J. Winkel, Dorin Comaniciu, Gregor Sommer, Thomas J. Re, Shikha Chaganti, Saikiran Rapaka, Tilo Niemann
Publikováno v:
Korean Journal of Radiology
OBJECTIVE: To extract pulmonary and cardiovascular metrics from chest CTs of patients with coronavirus disease 2019 (COVID-19) using a fully automated deep learning-based approach and assess their potential to predict patient management. MATERIALS AN
Autor:
Andreas Schulze-Bonhage, Gert Wiegand, Irina Mader, Thomas Bast, Hans Mayer, Constantin Anastasopoulos, Vera Van Velthoven, Rudolf Korinthenberg, Kathrin Wagner, Josef Zentner, Georgia Ramantani, Armin Brandt, Gitta Reuner, Karl Strobl, Navah Ester Kadish, Susanne Schubert-Bast
Background Although frontal lobe resections account for one-third of intralobar resections in pediatric epilepsy surgery, there is a dearth of information regarding long-term seizure freedom, overall cognitive and adaptive functioning. Objective To i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b772921473ad67437515e8fd386bb3ca
https://biblio.vub.ac.be/vubir/(1b5efc52-1107-4bfa-ab33-5c6d07c55369).html
https://biblio.vub.ac.be/vubir/(1b5efc52-1107-4bfa-ab33-5c6d07c55369).html