Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Anoshirwan Andrej Tavakoli"'
Autor:
Anoshirwan Andrej Tavakoli, Miriam Reichert, Tanja Blank, Dietmar Dinter, Sabine Weckbach, Dieter Buchheidt, Stefan Oswald Schoenberg, Ulrike Attenberger
Publikováno v:
BMC Medical Imaging, Vol 20, Iss 1, Pp 1-7 (2020)
Abstract Background To analyse the influence of whole body (wb)-MRI on patient management compared to routine diagnostic tests in patients with fever of unknown origin (FUO). Methods Twenty-four patients with FUO, defined as illness of more than thre
Externí odkaz:
https://doaj.org/article/59a41b028db4443c8c9f6675937363e8
Autor:
Anoshirwan Andrej Tavakoli, Thomas Hielscher, Patrick Badura, Magdalena Görtz, Tristan Anselm Kuder, Regula Gnirs, Constantin Schwab, Markus Hohenfellner, Heinz-Peter Schlemmer, David Bonekamp
Publikováno v:
Radiology. 306:186-199
Background Prostate Imaging Reporting and Data System (PI-RADS) version 2.0 requires multiparametric MRI of the prostate, including diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) imaging sequences; however, the contribution of D
Publikováno v:
Radiologie (Heidelberg, Germany)Literatur. 62(11)
Autor:
Anoshirwan Andrej Tavakoli
Publikováno v:
Der Radiologe. 61:296-299
Autor:
Kevin Sun Zhang, Patrick Schelb, Nils Netzer, Anoshirwan Andrej Tavakoli, Myriam Keymling, Eckhard Wehrse, Robert Hog, Lukas Thomas Rotkopf, Markus Wennmann, Philip Alexander Glemser, Heidi Thierjung, Nikolaus von Knebel Doeberitz, Jens Kleesiek, Magdalena Görtz, Viktoria Schütz, Thomas Hielscher, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Klaus Maier-Hein, David Bonekamp
Publikováno v:
Investigative radiology. 57(9)
The aim of this study was to estimate the prospective utility of a previously retrospectively validated convolutional neural network (CNN) for prostate cancer (PC) detection on prostate magnetic resonance imaging (MRI).The biparametric (T2-weighted a
Autor:
Markus Hohenfellner, Albrecht Stenzinger, Teeravut Tubtawee, Tristan Anselm Kuder, Patrick Schelb, J. P. Radtke, Magdalena Görtz, Thomas Hielscher, Heinz Peter Schlemmer, Lars Schimmöller, Anoshirwan Andrej Tavakoli, Viktoria Schütz, David Bonekamp
Publikováno v:
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 193:559-573
A recently developed deep learning model (U-Net) approximated the clinical performance of radiologists in the prediction of clinically significant prostate cancer (sPC) from prostate MRI. Here, we compare the agreement between lesion segmentations by
Autor:
Lukas T. Rotkopf, Kevin Sun Zhang, Anoshirwan Andrej Tavakoli, David Bonekamp, Christian Herbert Ziener, Heinz-Peter Schlemmer
Publikováno v:
RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin. 194(9)
Perfusion MRI is a well-established imaging modality with a multitude of applications in oncological and cardiovascular imaging. Clinically used processing methods, while stable and robust, have remained largely unchanged in recent years. Despite pro
Autor:
Anoshirwan Andrej Tavakoli, Constantin Dreher, Anna Mlynarska, Tristan Anselm Kuder, Regula Gnirs, Heinz-Peter Schlemmer, Sebastian Bickelhaupt
Publikováno v:
Clinical imaging. 83
To compare image quality of an optimized diffusion weighted imaging (DWI) sequence with advanced post-processing and motion correction (advanced-EPI) to a standard DWI protocol (standard-EPI) in pancreatic imaging.62 consecutive patients underwent ab
Autor:
Anoshirwan Andrej, Tavakoli
Publikováno v:
Der RadiologeLiteratur. 61(3)