Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Daphna Keidar"'
Autor:
Rares Constantin, Moritz Duck, Anton Alexandrov, Patrik Matosevic, Daphna Keidar, Mennatallah El-Assady
Publikováno v:
2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f9a857b8582fe4be0c409494c1e7b70
https://doi.org/10.1109/trex57753.2022.00005
https://doi.org/10.1109/trex57753.2022.00005
Autor:
Yair Shachar, Dror Suhami, Ofer Benjaminov, Ziv Neeman, Amiel A. Dror, Nogah Shabshin, Majd Hajouj, Nethanel Eizenbach, Philip Levin, Yael Rapson, Israel Aharony, Matti Mizrachi, Eli Atar, Leonid Charbinsky, Daphna Keidar, Daniel Yaron, Elisha Goldstein, Gil N. Bachar, Liza Lifshitz, Yishai M. Elyada, Yonina C. Eldar, Shlomit Tamir, Ahuva Grubstein, Chedva S. Weiss, Ayelet Blass, Dimitri Lumelsky, Eyal Sela, Naama Bogot
Publikováno v:
European Radiology
Objectives In the midst of the coronavirus disease 2019 (COVID-19) outbreak, chest X-ray (CXR) imaging is playing an important role in diagnosis and monitoring of patients with COVID-19. We propose a deep learning model for detection of COVID-19 from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c09460bcf3d03e630abcce36e67a96f
https://doi.org/10.1007/s00330-021-08050-1
https://doi.org/10.1007/s00330-021-08050-1
Autor:
Elena Torri, Andrea Smargiassi, Yishai M. Elyada, Nogah Shabshin, Libertario Demi, Ayelet Blass, Eyal Sela, Chedva S. Weiss, Meirav Galun, Oz Frank, Daphna Keidar, Nir Schipper, Tiziano Perrone, Yair Shachar, Naama R. Bogot, Dror Suhami, Amiel A. Dror, Federico Mento, Mordehay Vaturi, Gino Soldati, Shai Bagon, Yonina C. Eldar, Daniel Yaron, Ahuva Grubstein, Riccardo Inchingolo, Elisha Goldstein
Publikováno v:
ICASSP
Early detection of COVID-19 is key in containing the pandemic. Disease detection and evaluation based on imaging is fast and cheap and therefore plays an important role in COVID-19 handling. COVID-19 is easier to detect in chest CT, however, it is ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e7396e65fb2698f5eb44a2597b12f9a
https://doi.org/10.1109/icassp39728.2021.9413687
https://doi.org/10.1109/icassp39728.2021.9413687
Autor:
Matti Mizrachi, Ayelet Blass, Yishai M. Elyada, Shlomit Tamir, Daphna Keidar, Chedva S. Weiss, Ziv Neeman, Gil N. Bachar, Israel Aharony, Elisha Goldstein, Philip Levin, Daniel Yaron, Naama R. Bogot, Amiel A. Dror, Nogah Shabshin, Dror Suhami, Liza Lifshitz, Dimitri Lumelsky, Ahuva Grubstein, Yael Rapson, Yair Shachar, Eyal Sela, Majd Hajouj, Yonina C. Eldar, Ofer Benjaminov, Nethanel Eizenbach, Leonid Charbinsky
In the midst of the coronavirus disease 2019 (COVID-19) outbreak, chest X-ray (CXR) imaging is playing an important role in the diagnosis and monitoring of patients with COVID-19. Machine learning solutions have been shown to be useful for X-ray anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6b9f3be7f851b6476822efe4878f8ca
http://arxiv.org/abs/2010.01362
http://arxiv.org/abs/2010.01362
