Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Shaked Naor"'
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-18 (2022)
Abstract Background The human body is inhabited by a diverse community of commensal non-pathogenic bacteria, many of which are essential for our health. By contrast, pathogenic bacteria have the ability to invade their hosts and cause a disease. Char
Externí odkaz:
https://doaj.org/article/0cee292138a84f53abcb7b73616a3c85
Publikováno v:
BMC bioinformatics. 23(1)
BackgroundThe human body is inhabited by a diverse community of commensal non-pathogenic bacteria, many of which are essential for our health. By contrast, pathogenic bacteria have the ability to invade their hosts and cause a disease. Characterizing
Autor:
Roie Melamed, Alon Hazan, Esma Herzel, Shaked Naor, Gideon Koren, Ayelet Akselrod-Ballin, Yaara Goldschmidt, Michal Rosen-Zvi, Michal Chorev, Adam Spiro, Ehud Karavani, Yoel Shoshan, Michal Guindy, Varda Shalev, Ella Barkan
Publikováno v:
Radiology. 292:331-342
Background Computational models on the basis of deep neural networks are increasingly used to analyze health care data. However, the efficacy of traditional computational models in radiology is a matter of debate. Purpose To evaluate the accuracy and
Autor:
Adam Spiro, Esma Herzel, Shaked Naor, Ayelet Akselrod-Ballin, Varda Shalev, Michal Guindy, Alon Hazan, Vesna Resende Barros, Iuliana Weinstein, Michal Chorev, Michal Rosen-Zvi, Yoel Shoshan
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597245
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::610b7d8f1153839f54bacd0ee23a61d7
https://doi.org/10.1007/978-3-030-59725-2_79
https://doi.org/10.1007/978-3-030-59725-2_79
Autor:
Michal Chorev, Iuliana Weinstein, Michal Guindy, Yoel Shoshan, Varda Shalev, Alon Hazan, Vesna Resende Barros, Esma Herzel, Shaked Naor, Adam Spiro, Ayelet Akselrod-Ballin, Michal Rosen-Zvi
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597245
MICCAI (6)
MICCAI (6)
We investigate the potential contribution of an AI system as a safety net application for radiologists in breast cancer screening. As a safety net, the AI alerts on cases suspected to be malignant which the radiologist did not recommend for a recall.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d338c152452a63ee7a66de1e2046110
https://doi.org/10.1007/978-3-030-59725-2_22
https://doi.org/10.1007/978-3-030-59725-2_22
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Autor:
Naor-Hoffmann, Shaked1 (AUTHOR), Svetlitsky, Dina1 (AUTHOR), Sal-Man, Neta2 (AUTHOR), Orenstein, Yaron3 (AUTHOR), Ziv-Ukelson, Michal1 (AUTHOR) michaluz@cs.bgu.ac.il
Publikováno v:
BMC Bioinformatics. 6/24/2022, Vol. 23 Issue 1, p1-18. 18p.
Autor:
Kurz, Patrick, Kaufmann, Paul, Kalkreuth, Roman, Born, Jannis, Klöcker, Roman, Hahn, Felix, Döllinger, Felix, Auer, Timo A.
Publikováno v:
Proceedings. 22. Workshop Computational Intelligence; 2020, p111-134, 24p
Autor:
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in