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Amir B. Geva - Publications

Affiliations: 
Ben-Gurion University of the Negev, Be'er Sheva, South District, Israel 
Area:
Biomedical Signal Processing
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35 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Haor D, Joffe R, Shavit R, Peremen Z, Stern Y, Geva AB. Improved Back-Projection Cortical Potential Imaging by Multi-resolution Optimization Technique. Brain Topography. PMID 30076487 DOI: 10.1007/s10548-018-0668-1  0.323
2017 Haor D, Shavit R, Shapiro M, Geva A. Back-Projection Cortical Potential Imaging: Theory and Results. Ieee Transactions On Medical Imaging. PMID 28362583 DOI: 10.1109/TMI.2017.2679756  0.339
2017 Biederman J, Hammerness P, Sadeh B, Peremen Z, Amit A, Or-Ly H, Stern Y, Reches A, Geva A, Faraone SV. Diagnostic utility of brain activity flow patterns analysis in attention deficit hyperactivity disorder. Psychological Medicine. 1-12. PMID 28065167 DOI: 10.1017/S0033291716003329  0.307
2017 Reches A, Kutcher J, Elbin RJ, Or-Ly H, Sadeh B, Greer J, McAllister DJ, Geva A, Kontos AP. Preliminary investigation of Brain Network Activation (BNA) and its clinical utility in sport-related concussion. Brain Injury. 31: 237-246. PMID 28055228 DOI: 10.1080/02699052.2016.1231343  0.361
2017 Reches A, Or-ly H, Weiss M, Stern Y, Baumeister JC, Foss KB, Ellis J, Laish B, Laufer O, Sadeh B, Ettinger M, Arthur T, Shaham G, Myer G, Kehat O, ... ... Geva A, et al. P 136 Brain network analysis of EEG data in the service of clinical assessment – utilizing big data and prior theoretical knowledge to identify a biomarker for mTBI in adolscents Clinical Neurophysiology. 128. DOI: 10.1016/J.Clinph.2017.06.209  0.404
2017 Peremen Z, Shani-Hershkovich R, Weiss M, Reches A, Dickman D, Bikson M, Fregni F, Geva A. Brain Network Activation (BNA) – A Novel Eeg-Based Tool for Diagnosis, Prognosis and Monitoring High-Definition tDCS Treatment Brain Stimulation. 10. DOI: 10.1016/J.Brs.2016.11.080  0.346
2016 Stern Y, Reches A, Geva AB. Brain Network Activation Analysis Utilizing Spatiotemporal Features for Event Related Potentials Classification. Frontiers in Computational Neuroscience. 10: 137. PMID 28066224 DOI: 10.3389/fncom.2016.00137  0.376
2016 Reches A, Barber Foss KD, Weiss M, Thomas S, DiCesare C, Kiefer AW, Krueger D, Geva AB, Myer GD. Accumulated G-Forces Sustained During Hockey Correlate With Changes In Brain Network Activation Score: 2347 Board #1. Medicine and Science in Sports and Exercise. 48: 653. PMID 27584426 DOI: 10.1249/01.mss.0000486960.67950.64  0.308
2016 Reches A, Barber Foss KD, Weiss M, Thomas S, DiCesare C, Kiefer AW, Krueger D, Geva AB, Myer GD. Accumulated G-Forces Sustained During Hockey Correlate With Changes In Brain Network Activation Score: 2266 Board #6 June 2, 3: 15 PM - 5: 15 PM. Medicine and Science in Sports and Exercise. 48: 629. PMID 27584392 DOI: 10.1249/01.mss.0000486887.15478.61  0.303
2015 Manor R, Geva AB. Convolutional Neural Network for Multi-Category Rapid Serial Visual Presentation BCI. Frontiers in Computational Neuroscience. 9: 146. PMID 26696875 DOI: 10.3389/fncom.2015.00146  0.384
2015 Kontos AP, Reches A, Elbin RJ, Dickman D, Laufer I, Geva AB, Shacham G, DeWolf R, Collins MW. Preliminary evidence of reduced brain network activation in patients with post-traumatic migraine following concussion. Brain Imaging and Behavior. PMID 26091725 DOI: 10.1007/S11682-015-9412-6  0.39
2015 Reches A, Nir RR, Shram MJ, Dickman D, Laufer I, Shani-Hershkovich R, Stern Y, Weiss M, Yarnitsky D, Geva AB. A novel electroencephalography-based tool for objective assessment of network dynamics activated by nociceptive stimuli. European Journal of Pain (London, England). PMID 25960035 DOI: 10.1002/ejp.716  0.338
2014 Peled A, Geva AB. "Clinical brain profiling": a neuroscientific diagnostic approach for mental disorders. Medical Hypotheses. 83: 450-64. PMID 25155246 DOI: 10.1016/j.mehy.2014.07.013  0.322
2014 Reches A, Levy-Cooperman N, Laufer I, Shani-Hershkovitch R, Ziv K, Kerem D, Gal N, Stern Y, Cukierman G, Romach MK, Sellers EM, Geva AB. Brain Network Activation (BNA) reveals scopolamine-induced impairment of visual working memory. Journal of Molecular Neuroscience : Mn. 54: 59-70. PMID 24535560 DOI: 10.1007/S12031-014-0250-6  0.363
2014 Fuhrmann Alpert G, Manor R, Spanier AB, Deouell LY, Geva AB. Spatiotemporal representations of rapid visual target detection: a single-trial EEG classification algorithm. Ieee Transactions On Bio-Medical Engineering. 61: 2290-303. PMID 24216627 DOI: 10.1109/TBME.2013.2289898  0.6
2013 Reches A, Laufer I, Ziv K, Cukierman G, McEvoy K, Ettinger M, Knight RT, Gazzaley A, Geva AB. Network dynamics predict improvement in working memory performance following donepezil administration in healthy young adults. Neuroimage. 88: 228-241. PMID 24269569 DOI: 10.1016/J.Neuroimage.2013.11.020  0.358
2013 Reches A, Gal N, Kerem D, Grossman S, Dickman D, Geva A. A novel brain imaging technology for concussion management demonstrated on a scopolamine induced cognitive impairment model British Journal of Sports Medicine. 47. DOI: 10.1136/Bjsports-2012-092101.21  0.334
2012 Shahaf G, Reches A, Pinchuk N, Fisher T, Ben Bashat G, Kanter A, Tauber I, Kerem D, Laufer I, Aharon-Peretz J, Pratt H, Geva AB. Introducing a novel approach of network oriented analysis of ERPs, demonstrated on adult attention deficit hyperactivity disorder. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology. 123: 1568-80. PMID 22261156 DOI: 10.1016/j.clinph.2011.12.010  0.339
2011 Shani-Hershkovitch R, Reches A, Kerem D, Pinchuk N, Levy-Cooperman N, Romach MK, Sellers EM, Geva AB. Applying brain network activation tool on working memory ERPs in a scopolamine model of Alzheimer's disease Neuroscience Letters. 500. DOI: 10.1016/J.Neulet.2011.05.198  0.315
2010 Levy-Cooperman N, Reches A, Milovan D, Pinchuk N, Ben Bashat G, Shani-Hershkovitch R, Geva A, Deouell LY, Romach MK, Sellers EM. P2-391: Scopolamine: Modeling cognitive deficits associated with Alzheimer's disease via novel functional brain imaging and network analysis Alzheimer's & Dementia. 6: S431-S432. DOI: 10.1016/J.Jalz.2010.05.1443  0.302
2005 Cohen H, Zohar J, Matar MA, Kaplan Z, Geva AB. Unsupervised fuzzy clustering analysis supports behavioral cutoff criteria in an animal model of posttraumatic stress disorder. Biological Psychiatry. 58: 640-50. PMID 15978551 DOI: 10.1016/j.biopsych.2005.04.002  0.319
2001 Peled A, Geva AB, Kremen WS, Blankfeld HM, Esfandiarfard R, Nordahl TE. Functional connectivity and working memory in schizophrenia: an EEG study. The International Journal of Neuroscience. 106: 47-61. PMID 11264908 DOI: 10.3109/00207450109149737  0.32
2000 Geva AB, Peled A. Simulation of cognitive disturbances by a dynamic threshold semantic neural network. Journal of the International Neuropsychological Society : Jins. 6: 608-19. PMID 10932480 DOI: 10.1017/S1355617700655108  0.339
2000 Geva AB, Steinberg Y, Bruckmair S, Nahum G. A comparison of cluster validity criteria for a mixture of normal distributed data Pattern Recognition Letters. 21: 511-529. DOI: 10.1016/S0167-8655(00)00016-7  0.323
1999 Geva AB. Hierarchical unsupervised fuzzy clustering Ieee Transactions On Fuzzy Systems. 7: 723-733. DOI: 10.1109/91.811242  0.303
1999 Geva AB. Hierarchical-fuzzy clustering of temporal-patterns and its application for time-series prediction Pattern Recognition Letters. 20: 1519-1532. DOI: 10.1016/S0167-8655(99)00121-X  0.32
1998 Geva AB. Feature extraction and state identification in biomedical signals using hierarchical fuzzy clustering. Medical & Biological Engineering & Computing. 36: 608-14. PMID 10367446 DOI: 10.1007/BF02524432  0.327
1998 Geva AB, Kerem DH. Forecasting generalized epileptic seizures from the EEG signal by wavelet analysis and dynamic unsupervised fuzzy clustering. Ieee Transactions On Bio-Medical Engineering. 45: 1205-16. PMID 9775534 DOI: 10.1109/10.720198  0.332
1998 Policker S, Geva AB. A model for non-stationary time series analysis with clustering methods Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1451: 649-657. DOI: 10.1007/Bfb0033289  0.323
1997 Geva AB, Pratt H, Zeevi YY. Multichannel wavelet-type decomposition of evoked potentials: model-based recognition of generator activity. Medical & Biological Engineering & Computing. 35: 40-6. PMID 9136189 DOI: 10.1007/BF02510390  0.331
1995 Geva AB, Pratt H, Zeevi YY. Spatio-temporal multiple source localization by wavelet-type decomposition of evoked potentials. Electroencephalography and Clinical Neurophysiology. 96: 278-86. PMID 7750453 DOI: 10.1016/0168-5597(94)00294-O  0.316
1994 Geva AB, Pratt H. Unsupervised clustering of evoked potentials by waveform. Medical & Biological Engineering & Computing. 32: 543-50. PMID 7845071 DOI: 10.1007/BF02515313  0.32
1994 Pratt H, Mittelman N, Geva AB. Machine scoring of somatosensory evoked potentials. Electroencephalography and Clinical Neurophysiology. 92: 89-92. PMID 7508858 DOI: 10.1016/0168-5597(94)90012-4  0.308
1993 Pratt H, Geva AB, Mittelman N. Computational waveform analysis and classification of auditory brainstem evoked potentials. Acta Oto-Laryngologica. 113: 279-84. PMID 8517128 DOI: 10.3109/00016489309135809  0.336
1989 Gath I, Geva AB. Unsupervised optimal fuzzy clustering Ieee Transactions On Pattern Analysis and Machine Intelligence. 11: 773-780. DOI: 10.1109/34.192473  0.315
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