Hasil Pencarian - Amir B. Geva

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  1. 1
    Semi-supervised active learning using convolutional auto- encoder and contrastive learning

    Semi-supervised active learning using convolutional auto- encoder and contrastive learning oleh Hezi Roda, Amir B. Geva, Amir B. Geva

    Diterbitkan 2024-05-01
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  2. 2
    Using Brainwave Patterns Recorded from Plant Pathology Experts to Increase the Reliability of AI-Based Plant Disease Recognition System

    Using Brainwave Patterns Recorded from Plant Pathology Experts to Increase the Reliability of AI-Based Plant Disease Recognition System oleh Yonatan Meir, Jayme Garcia Arnal Barbedo, Omri Keren, Cláudia Vieira Godoy, Nofar Amedi, Yaar Shalom, Amir B. Geva

    Diterbitkan 2023-04-01
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  3. 3
    Evaluating an EEG-based tool for assessing acute clinical and cognitive changes in adult outpatients with MDD treated with open-label, flexible-dose vortioxetine: A pilot study

    Evaluating an EEG-based tool for assessing acute clinical and cognitive changes in adult outpatients with MDD treated with open-label, flexible-dose vortioxetine: A pilot study oleh John Zajecka, Offir Laufer, Ziv Peremen, David Sholtes, Ian Mackey, Charlotte Baumeister, Amanda White, Amir B. Geva, Gil Issachar

    Diterbitkan 2024-04-01
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  4. 4
    Identification of an early-stage Parkinson's disease neuromarker using event-related potentials, brain network analytics and machine-learning.

    Identification of an early-stage Parkinson's disease neuromarker using event-related potentials, brain network analytics and machine-learning. oleh 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

    Diterbitkan 2022-01-01
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  5. 5
    Identification of an early-stage Parkinson’s disease neuromarker using event-related potentials, brain network analytics and machine-learning

    Identification of an early-stage Parkinson’s disease neuromarker using event-related potentials, brain network analytics and machine-learning oleh 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

    Diterbitkan 2022-01-01
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  6. 6
    Brain Network Analysis of EEG Recordings Can Be Used to Assess Cognitive Function in Teenagers With 15q13.3 Microdeletion Syndrome

    Brain Network Analysis of EEG Recordings Can Be Used to Assess Cognitive Function in Teenagers With 15q13.3 Microdeletion Syndrome oleh Tehila Stern, Emeline H. Crutcher, Emeline H. Crutcher, John M. McCarthy, John M. McCarthy, May A. Ali, May A. Ali, Gil Issachar, Amir B. Geva, Ziv Peremen, Christian P. Schaaf, Christian P. Schaaf, Christian P. Schaaf

    Diterbitkan 2021-01-01
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  7. 7
    Deep Brain Stimulation Can Differentiate Subregions of the Human Subthalamic Nucleus Area by EEG Biomarkers

    Deep Brain Stimulation Can Differentiate Subregions of the Human Subthalamic Nucleus Area by EEG Biomarkers oleh Daniel Sand, Daniel Sand, Daniel Sand, David Arkadir, Muneer Abu Snineh, Odeya Marmor, Zvi Israel, Zvi Israel, Hagai Bergman, Hagai Bergman, Hagai Bergman, Sharon Hassin-Baer, Simon Israeli-Korn, Ziv Peremen, Amir B. Geva, Renana Eitan, Renana Eitan, Renana Eitan, Renana Eitan

    Diterbitkan 2021-10-01
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  8. 8
    Novel Bloodless Potassium Determination Using a Signal‐Processed Single‐Lead ECG

    Novel Bloodless Potassium Determination Using a Signal‐Processed Single‐Lead ECG oleh 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

    Diterbitkan 2016-01-01
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