Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Sasa Grbic"'
Autor:
Sheethal Bhat, Awais Mansoor, Bogdan Georgescu, Adarsh B. Panambur, Florin C. Ghesu, Saahil Islam, Kai Packhäuser, Dalia Rodríguez-Salas, Sasa Grbic, Andreas Maier
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract The evaluation of deep-learning (DL) systems typically relies on the Area under the Receiver-Operating-Curve (AU-ROC) as a performance metric. However, AU-ROC, in its holistic form, does not sufficiently consider performance within specific
Externí odkaz:
https://doaj.org/article/253df8351f8247ba8dfbd5cedd186436
Autor:
Sebastian Marschner, Manasi Datarb, Aurélie Gaasch, Zhoubing Xu, Sasa Grbic, Guillaume Chabin, Bernhard Geiger, Julian Rosenman, Stefanie Corradini, Maximilian Niyazi, Tobias Heimann, Christian Möhler, Fernando Vega, Claus Belka, Christian Thieke
Publikováno v:
Radiation Oncology, Vol 17, Iss 1, Pp 1-9 (2022)
Abstract Background We describe and evaluate a deep network algorithm which automatically contours organs at risk in the thorax and pelvis on computed tomography (CT) images for radiation treatment planning. Methods The algorithm identifies the regio
Externí odkaz:
https://doaj.org/article/62ada65283ab4ac78333d93e796bb5ce
Autor:
Sebastian Marschner, Manasi Datar, Aurélie Gaasch, Zhoubing Xu, Sasa Grbic, Guillaume Chabin, Bernhard Geiger, Julian Rosenman, Stefanie Corradini, Maximilian Niyazi, Tobias Heimann, Christian Möhler, Fernando Vega, Claus Belka, Christian Thieke
Publikováno v:
Radiation Oncology, Vol 17, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/82bd818104d24478a5bb618c02fe21c8
Autor:
Florin C, Ghesu, Bogdan, Georgescu, Awais, Mansoor, Youngjin, Yoo, Dominik, Neumann, Pragneshkumar, Patel, Reddappagari Suryanarayana, Vishwanath, James M, Balter, Yue, Cao, Sasa, Grbic, Dorin, Comaniciu
Publikováno v:
Journal of Medical Imaging. 9
Building accurate and robust artificial intelligence systems for medical image assessment requires the creation of large sets of annotated training examples. However, constructing such datasets is very costly due to the complex nature of annotation t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e0fe5b295e17ca07e8c3a3aecfaf32f
https://doi.org/10.1117/1.jmi.9.6.064503
https://doi.org/10.1117/1.jmi.9.6.064503
Autor:
Hae-Min, Jung, Rochelle, Yang, Warren B, Gefter, Florin C, Ghesu, Boris, Mailhe, Awais, Mansoor, Sasa, Grbic, Dorin, Comaniciu, Sebastian, Vogt, Eduardo J, Mortani Barbosa
Publikováno v:
Journal of Medical Imaging. 9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::810b77ef8305d2f9a7ec2028e27996a0
https://doi.org/10.1117/1.jmi.9.3.034003
https://doi.org/10.1117/1.jmi.9.3.034003
Autor:
Youngjin Yoo, Alexander W. Sauter, Pina C. Sanelli, Philippe Grenier, Sasa Grbic, Savvas Nicolaou, Eduardo J. Mortani Barbosa, Dorin Comaniciu, Nakul Gupta, Bogdan Georgescu, François Mellot, Thomas Re, Jordi Broncano Cabrero, Valentin Ziebandt, Thomas Flohr, Gorka Bastarrika Alemañ, Guillaume Chabin, Shikha Chaganti
Publikováno v:
European Radiology
Objectives To investigate machine learning classifiers and interpretable models using chest CT for detection of COVID-19 and differentiation from other pneumonias, interstitial lung disease (ILD) and normal CTs. Methods Our retrospective multi-instit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::854acea77fdbeee5506336e6c290b5e1
https://doi.org/10.1007/s00330-021-07937-3
https://doi.org/10.1007/s00330-021-07937-3
Autor:
Akos Varga-Szemes, Julian L. Wichmann, Rock H. Savage, Pooyan Sahbaee, U. Joseph Schoepf, Andreas Fischer, John D. Martinez, Basel Yacoub, Sasa Grbic
Publikováno v:
Journal of Thoracic Imaging. 35:S21-S27
The constantly increasing number of computed tomography (CT) examinations poses major challenges for radiologists. In this article, the additional benefits and potential of an artificial intelligence (AI) analysis platform for chest CT examinations i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::101c41419e93c30c64535b42286de0f7
https://doi.org/10.1097/rti.0000000000000498
https://doi.org/10.1097/rti.0000000000000498
Publikováno v:
Advances in Magnetic Resonance Technology and Applications ISBN: 9780128244609
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b85e0935e9dadc90aed8485f959d2212
https://doi.org/10.1016/b978-0-12-824460-9.00030-3
https://doi.org/10.1016/b978-0-12-824460-9.00030-3
Autor:
Siqi Liu, Awais Mansoor, Florin C. Ghesu, Boris Mailhe, Sebastian Vogt, Eduardo J. Mortani Barbosa, Warren B. Gefter, Sasa Grbic
Publikováno v:
Investigative Radiology.
Objectives The aim of this study was to leverage volumetric quantification of airspace disease (AD) derived from a superior modality (computed tomography [CT]) serving as ground truth, projected onto digitally reconstructed radiographs (DRRs) to (1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfdc15ab80c5e258b94f377255cf466a
https://doi.org/10.1097/rli.0000000000000763
https://doi.org/10.1097/rli.0000000000000763
Publikováno v:
Bildverarbeitung für die Medizin 2021 ISBN: 9783658331979
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ef3086253c53b584bd6cb2e69355a02
https://doi.org/10.1007/978-3-658-33198-6_68
https://doi.org/10.1007/978-3-658-33198-6_68