Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Amir B. Geva"'
Autor:
Hezi Roda, Amir B. Geva
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Active learning is a field of machine learning that seeks to find the most efficient labels to annotate with a given budget, particularly in cases where obtaining labeled data is expensive or infeasible. This is becoming increasingly important with t
Externí odkaz:
https://doaj.org/article/bdc98956aa784329b431c52b0aa5bc45
Autor:
John Zajecka, Offir Laufer, Ziv Peremen, David Sholtes, Ian Mackey, Charlotte Baumeister, Amanda White, Amir B. Geva, Gil Issachar
Publikováno v:
Journal of Affective Disorders Reports, Vol 16, Iss , Pp 100732- (2024)
Background: Identifying neurological biomarkers to aid with diagnoses and treatment effect evaluation of mood and cognitive symptoms in major depressive disorder (MDD) is an unmet need. This study explores the Brain Network Analytics (BNA) tool, whic
Externí odkaz:
https://doaj.org/article/af705802df29448db5c80c94275dcd93
Autor:
Yonatan Meir, Jayme Garcia Arnal Barbedo, Omri Keren, Cláudia Vieira Godoy, Nofar Amedi, Yaar Shalom, Amir B. Geva
Publikováno v:
Sensors, Vol 23, Iss 9, p 4272 (2023)
One of the most challenging problems associated with the development of accurate and reliable application of computer vision and artificial intelligence in agriculture is that, not only are massive amounts of training data usually required, but also,
Externí odkaz:
https://doaj.org/article/aa7d07a8bbd54c74a2272dd5765f18d9
Autor:
Sharon Hassin-Baer, Oren S. Cohen, Simon Israeli-Korn, Gilad Yahalom, Sandra Benizri, Daniel Sand, Gil Issachar, Amir B. Geva, Revital Shani-Hershkovich, Ziv Peremen
Publikováno v:
PLoS ONE, Vol 17, Iss 1 (2022)
Objective The purpose of this study is to explore the possibility of developing a biomarker that can discriminate early-stage Parkinson’s disease from healthy brain function using electroencephalography (EEG) event-related potentials (ERPs) in comb
Externí odkaz:
https://doaj.org/article/aae2a8c515494ac89ad59add0eafbc46
Autor:
Daniel Sand, David Arkadir, Muneer Abu Snineh, Odeya Marmor, Zvi Israel, Hagai Bergman, Sharon Hassin-Baer, Simon Israeli-Korn, Ziv Peremen, Amir B. Geva, Renana Eitan
Publikováno v:
Frontiers in Systems Neuroscience, Vol 15 (2021)
Introduction: Precise lead localization is crucial for an optimal clinical outcome of subthalamic nucleus (STN) deep brain stimulation (DBS) treatment in patients with Parkinson's disease (PD). Currently, anatomical measures, as well as invasive intr
Externí odkaz:
https://doaj.org/article/b73fc8e6c3de40a6bfbb66caabf0e6c6
Autor:
Tehila Stern, Emeline H. Crutcher, John M. McCarthy, May A. Ali, Gil Issachar, Amir B. Geva, Ziv Peremen, Christian P. Schaaf
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
15q13.3 microdeletion syndrome causes a spectrum of cognitive disorders, including intellectual disability and autism. We assessed the ability of the EEG analysis algorithm Brain Network Analysis (BNA) to measure cognitive function in 15q13.3 deletio
Externí odkaz:
https://doaj.org/article/61bcbe805f53421c8a8ad00bf7e8ab7b
Autor:
Zachi I. Attia, Christopher V. DeSimone, John J. Dillon, Yehu Sapir, Virend K. Somers, Jennifer L. Dugan, Charles J. Bruce, Michael J. Ackerman, Samuel J. Asirvatham, Bryan L. Striemer, Jan Bukartyk, Christopher G. Scott, Kevin E. Bennet, Dorothy J. Ladewig, Emily J. Gilles, Dan Sadot, Amir B. Geva, Paul A. Friedman
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 5, Iss 1 (2016)
BackgroundHyper‐ and hypokalemia are clinically silent, common in patients with renal or cardiac disease, and are life threatening. A noninvasive, unobtrusive, blood‐free method for tracking potassium would be an important clinical advance. Metho
Externí odkaz:
https://doaj.org/article/f1038c6c939448e4a229c7e36af56e65
Publikováno v:
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
Autor:
Omri Ram, Amir B. Geva, Zeev Kaplan, Michael A. Matar, Amitai Zuckerman, Hagit Cohen, Oren Sadot, Galya Herzog
Publikováno v:
Archives of Depression and Anxiety. :066-078
The objective of this study was to explore how age at the time of blast-exposure affects behavioral and cognitive responses.
Autor:
Yonatan Meir, Jayme Garcia Arnal Barbedo, Omri Keren, Cláudia Vieira Godoy, Nofar Amedi, Yaar Shalom, Amir B. Geva
Publikováno v:
Sensors; Volume 23; Issue 9; Pages: 4272
One of the most challenging problems associated with the development of accurate and reliable application of computer vision and artificial intelligence in agriculture is that, not only are massive amounts of training data usually required, but also,