Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Simona Rabinovici Cohen"'
Autor:
Ella Barkan, Camillo Porta, Simona Rabinovici-Cohen, Valentina Tibollo, Silvana Quaglini, Mimma Rizzo
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
Background and objectivesInvestigations of the prognosis are vital for better patient management and decision-making in patients with advanced metastatic renal cell carcinoma (mRCC). The purpose of this study is to evaluate the capacity of emerging A
Externí odkaz:
https://doaj.org/article/881cd6426bc34d7abb6cea60219d527d
Publikováno v:
Medical Imaging 2022: Computer-Aided Diagnosis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::120cfd752476637e22c1baafc61f3d3e
https://doi.org/10.1117/12.2613169
https://doi.org/10.1117/12.2613169
Publikováno v:
Journal of Open Source Software. 8:4943
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7abba50c6be1ce4dddf46db5e94d71ea
https://doi.org/10.21105/joss.04943
https://doi.org/10.21105/joss.04943
Autor:
Tal Tlusty, Ami Abutbul, Oliver Hijano Cubelos, Xosé M Fernández, Simona Rabinovici-Cohen, Shaked Perek
Publikováno v:
Predictive Intelligence in Medicine-Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Predictive Intelligence in Medicine
Predictive Intelligence in Medicine ISBN: 9783030593537
PRIME@MICCAI
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Predictive Intelligence in Medicine
Predictive Intelligence in Medicine ISBN: 9783030593537
PRIME@MICCAI
Neoadjuvant chemotherapy (NAC) is one of the treatment options for women diagnosed with breast cancer, in which chemotherapy is administered prior to surgery. In current clinical practice, it is not possible to predict whether the patient is likely t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0a36f081403150212bd8512af45dc96
Autor:
Hyo-Eun Kim, Jiashi Feng, Stephen H. Friend, Ljubomir Buturovic, Dezső Ribli, Luis Caballero, Li Shen, Fredrik Strand, Yaroslav Nikulin, Krzysztof J. Geras, Kyunghyun Cho, Elias Chaibub Neto, Rami Ben-Ari, Christoph I. Lee, Zequn Jie, Imane Nedjar, Felix Nensa, Darvin Yi, Shivanthan A.C. Yohanandan, Bruce Hoff, Justin Guinney, Jaime S. Cardoso, Russell B. McBride, Mengling Feng, Yiqiu Shen, Simona Rabinovici-Cohen, Ethan Goan, Stefan Harrer, Sven Koitka, Michael Kawczynski, Hari Trivedi, Karl Trygve Kalleberg, Christoph M. Friedrich, F. Albiol, Dimitri Perrin, Jose Costa Pereira, Umar Asif, Bibo Shi, Zbigniew Wojna, Antonio Jimeno Yepes, Peter Lindholm, Berkman Sahiner, Sijia Wang, Thea Norman, Weiva Sieh, Joyce Cahoon, Gerard Cardoso Negrie, Pavitra Krishnaswamy, Diana S. M. Buist, Alberto Albiol, Lester Mackey, Hwejin Jung, Laurie R. Margolies, Gaurav Pandey, Can Son Khoo, William Lotter, Yuanfang Guan, Thomas Yu, Andrew D. Trister, Stephen Morrell, Gustavo Stolovitzky, A. Gregory Sorensen, Clinton Fookes, Mehmet Eren Ahsen, David D. Cox, Jae Ho Sohn, Hao Du, Thomas Schaffter, Joseph H. Rothstein, Eduardo Castro, Joseph Y. Lo, Daniel L. Rubin, Obioma Pelka
Publikováno v:
JAMA Network Open
Importance: Mammography screening currently relies on subjective human interpretation. Artificial intelligence (AI) advances could be used to increase mammography screening accuracy by reducing missed cancers and false positives. Objective: To evalua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c12077daf27f336825279d2831286b1
https://doi.org/10.1001/jamanetworkopen.2020.0265
https://doi.org/10.1001/jamanetworkopen.2020.0265
Autor:
Colin B. Compas, Amit Guy, Orest B. Boyko, Deepika Kakrania, R. Negahdar, Simona Rabinovici-Cohen, Pavel Kisilev, Prasanth Prasanna, Sharbell Y. Hashoul, Yufan Guo, Tanveer Syeda-Mahmood, José M. Morey, Yaniv Gur, David Beymer, Eugene Walach, Deepta Rajan, Tyler Baldwin, Mehdi Moradi, Hongzhi Wang, Yu Cao, F. Gilboa-Solomon, Rami Ben-Ari, Aviad Zlotnick
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Radiologists and cardiologists today have to view large amounts of imaging data relatively quickly leading to eye fatigue. Further, they have only limited access to clinical information relying mostly on their visual interpretation of imaging studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc4a25073e3ffcaeda55d87d1aae271f
https://doi.org/10.1117/12.2217382
https://doi.org/10.1117/12.2217382
Autor:
Ealan Henis, Simona Rabinovici-Cohen, Shahar Ronen, David Giaretta, Esther Conway, Petra Reshef, Matthew Dunckley
Publikováno v:
OCLC Systems & Services: International digital library perspectives. 26:80-93
PurposeThe purpose of this paper is to describe the use of XML formatted data unit (XFDU) technology to implement OAIS‐based information packaging in the CASPAR project.Design/methodology/approachThe paper outlines new tools and techniques in worki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25b1ffa02216c9f22d331a4db992773b
https://doi.org/10.1108/10650751011048452
https://doi.org/10.1108/10650751011048452
Autor:
D. Naor, Simona Rabinovici-Cohen, David Giaretta, P. Reshef, Shahar Ronen, L. Ramati, M. E. Factor, J. Satran
Publikováno v:
IBM Journal of Research and Development. 52:389-399
As the world becomes digital, we are in ever greater danger of losing business, scientific, artistic, cultural, and personal assets. The threat of such a digital dark age stems from the fact that-- unlike physical records that may survive decades, ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::996c087aebcdb96576c8d52c9530d1a7
https://doi.org/10.1147/rd.524.0389
https://doi.org/10.1147/rd.524.0389
Autor:
Michael Factor, Simona Rabinovici-Cohen, Julian Satran, Leeat Ramati, Petra Reshef, Dalit Naor
Publikováno v:
ACM SIGOPS Operating Systems Review. 41:19-23
Digital Preservation deals with ensuring that digital data stored today can be read and interpreted tens or hundreds of years from now. At the heart of any solution to the preservation problem lies a storage component. This paper characterizes the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::147158ae042194e9d0b289f543de61ea
https://doi.org/10.1145/1228291.1228298
https://doi.org/10.1145/1228291.1228298
Publikováno v:
Business Process Management Workshops ISBN: 9783319158945
Business Process Management Workshops
Business Process Management Workshops
The increase in large biomedical data objects stored in long term archives that continuously need to be processed and analyzed requires new storage paradigms. We propose expanding the storage system from only storing biomedical data to directly produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66571fdea12afde33675897cb028a0e4
https://doi.org/10.1007/978-3-319-15895-2_6
https://doi.org/10.1007/978-3-319-15895-2_6
