Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Joshy Cyriac"'
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, Rita Achermann, Jonathan I. Sperl, Rainer Kärgel, Saikiran Rapaka, Joshy Cyriac, Shan Yang, Gregor Sommer, Bram Stieltjes, Jens Bremerich, Philipp Brantner, Alexander W. Sauter
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
PurposeThoracic aortic (TA) dilatation (TAD) is a risk factor for acute aortic syndrome and must therefore be reported in every CT report. However, the complex anatomy of the thoracic aorta impedes TAD detection. We investigated the performance of a
Externí odkaz:
https://doaj.org/article/f5c08b69ce83495cb0fe2c96a6c1fd0a
Autor:
Martin Segeroth, David Jean Winkel, Ivo Strebel, Shan Yang, Jan Gerrit van der Stouwe, Jude Formambuh, Patrick Badertscher, Joshy Cyriac, Jakob Wasserthal, Federico Caobelli, Antonio Madaffari, Pedro Lopez-Ayala, Michael Zellweger, Alexander Sauter, Christian Mueller, Jens Bremerich, Philip Haaf
Publikováno v:
European Heart Journal - Cardiovascular Imaging.
Aims Pulmonary transit time (PTT) is the time blood takes to pass from the right ventricle to the left ventricle via pulmonary circulation. We aimed to quantify PTT in routine cardiovascular magnetic resonance imaging perfusion sequences. PTT may hel
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:
Carl G. Glessgen, Joshy Cyriac, Shan Yang, Sebastian Manneck, Hildegard Wichtmann, Jakob Wasserthal, Balazs K. Kovacs, Dorothee Harder
ObjectivesAn end-to-end method is introduced to build a combined segmentation-classification pipeline using deep learning for opportunistic fracture detection in CT spine images of varying field-of-views.Materials and MethodsThis retrospective study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd9acb82148b972860771ded55f4977e
https://doi.org/10.1101/2022.11.26.22282267
https://doi.org/10.1101/2022.11.26.22282267
Autor:
Philipp Brantner, Jan Vosshenrich, Tobias Heye, Joshy Cyriac, Elmar M. Merkle, Daniel T. Boll
Publikováno v:
Radiology. 298:632-639
Background Workloads in radiology departments have constantly increased over the past decades. The resulting radiologist fatigue is considered a rising problem that affects diagnostic accuracy. Purpose To investigate whether data mining of quantitati
Autor:
Jan Vosshenrich, Philipp Brantner, Joshy Cyriac, Adam Jadczak, Johanna M. Lieb, Kristine A. Blackham, Tobias Heye
Publikováno v:
Academic radiology.
To assess the effects of a change from free text reporting to structured reporting on resident reports, the proofreading workload and report turnaround times in the neuroradiology daily routine.Our neuroradiology section introduced structured reporti
Publikováno v:
European Radiology
Objectives To investigate the most common errors in residents’ preliminary reports, if structured reporting impacts error types and frequencies, and to identify possible implications for resident education and patient safety. Material and methods C
Publikováno v:
Seminars in Musculoskeletal Radiology. 23:304-311
Artificial intelligence (AI) has gained major attention with a rapid increase in the number of published articles, mostly recently. This review provides a general understanding of how AI can or will be useful to the musculoskeletal radiologist. After
Autor:
Thomas Weikert, Philipp Brantner, Bram Stieltjes, Maurice Pradella, Jonathan I. Sperl, Joshy Cyriac, Alexander W. Sauter, Jens Bremerich, Gregor Sommer, Rainer Kärgel, Rita Achermann
Publikováno v:
Quant Imaging Med Surg
BACKGROUND: Manually performed diameter measurements on ECG-gated CT-angiography (CTA) represent the gold standard for diagnosis of thoracic aortic dilatation. However, they are time-consuming and show high inter-reader variability. Therefore, we aim