Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Florin C. Ghesu"'
Autor:
Abdoul Aziz Amadou, Laura Peralta, Paul Dryburgh, Paul Klein, Kaloian Petkov, R. James Housden, Vivek Singh, Rui Liao, Young-Ho Kim, Florin C. Ghesu, Tommaso Mansi, Ronak Rajani, Alistair Young, Kawal Rhode
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
IntroductionUltrasound is well-established as an imaging modality for diagnostic and interventional purposes. However, the image quality varies with operator skills as acquiring and interpreting ultrasound images requires extensive training due to th
Externí odkaz:
https://doaj.org/article/13161e4557e341bf8ba15d248740c787
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
This work tackles practical issues that arise when using a tendon-driven robotic manipulator (TDRM) with a long, flexible, passive proximal section in medical applications. Tendon-driven devices are preferred in medicine for their improved outcomes v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecde048189d4644c1fba2c855a84026b
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:
Jens Ricke, Michael Ingrisch, Balthasar Maria Schachtner, Andreas Fieselmann, Bastian O. Sabel, Awais Mansoor, Florin C. Ghesu, Philipp Wesp, Lena Trappmann, Christian Huemmer, Basel Munawwar, Johannes Rueckel
Publikováno v:
European Radiology
Objectives Diagnostic accuracy of artificial intelligence (AI) pneumothorax (PTX) detection in chest radiographs (CXR) is limited by the noisy annotation quality of public training data and confounding thoracic tubes (TT). We hypothesize that in-imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c58f722abf420df5b078cf789b581e0
https://doi.org/10.1007/s00330-021-07833-w
https://doi.org/10.1007/s00330-021-07833-w
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
Autor:
Youngjin Yoo, R.S. Vishwanath, Eli Gibson, Subba R. Digumarthy, James M. Balter, Sasa Grbic, Dorin Comaniciu, Mannudeep K. Kalra, Yue Cao, Abishek Balachandran, Bogdan Georgescu, Awais Mansoor, Ramandeep Singh, Florin C. Ghesu
The interpretation of medical images is a challenging task, often complicated by the presence of artifacts, occlusions, limited contrast and more. Most notable is the case of chest radiography, where there is a high inter-rater variability in the det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53bfea3fba2db71020d3214087d3a116
http://arxiv.org/abs/2007.04258
http://arxiv.org/abs/2007.04258
Autor:
Dorin Comaniciu, Bogdan Georgescu, Florin C. Ghesu, Sasa Grbic, Lucian Mihai Itu, Tommaso Mansi, Viorel Mihalef, Dominik Neumann, Tiziano Passerini, Saikiran Rapaka, Puneet Sharma, Yue Zhang, Helene Houle, Felix Meister, Cosmin Nita, Andrei Puiu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fe6d00c2d34649de77cfb2cff471556
https://doi.org/10.1016/b978-0-12-817594-1.00006-1
https://doi.org/10.1016/b978-0-12-817594-1.00006-1