| Leveraging machine learning techniques to forecast patient prognosis after percutaneous coronary intervention CJ Zack, C Senecal, Y Kinar, Y Metzger, Y Bar-Sinai, RJ Widmer, ... Cardiovascular Interventions 12 (14), 1304-1311, 2019 | 67 | 2019 |
| System and method for noninvasively monitoring conditions of a subject Y Metzger, M Rokni, R Pery-Shechter US Patent 7,541,602, 2009 | 54 | 2009 |
| System and method for non-invasively monitoring conditions of a object Y Metzger, M Rokni, R Pery-Shechter US Patent 8,143,605, 2012 | 29 | 2012 |
| Non-invasive blood flow measurements using ultrasound modulated diffused light N Racheli, A Ron, Y Metzger, I Breskin, G Enden, M Balberg, R Shechter Photons Plus Ultrasound: Imaging and Sensing 2012 8223, 438-445, 2012 | 22 | 2012 |
| Apparatus for non-invasive optical monitoring O Pintel, M Bendkowski, I Breskin, Y Metzger, RP Shechter US Patent 9,078,617, 2015 | 18 | 2015 |
| Error derived scores for detection systems Y Metzger US Patent 6,418,409, 2002 | 18 | 2002 |
| Learning temporal sequences by local synaptic changes Y Metzger, D Lehmann Network: Computation in Neural Systems 1 (2), 169-188, 1990 | 16 | 1990 |
| Measuring tissue blood flow using ultrasound modulated diffused light A Ron, N Racheli, I Breskin, Y Metzger, Z Silman, M Kamar, A Nini, ... Photons Plus Ultrasound: Imaging and Sensing 2012 8223, 477-483, 2012 | 15 | 2012 |
| System and method for noninvasively monitoring conditions of a subject Y Metzger, M Rokni, R Pery-Shechter US Patent 9,237,850, 2016 | 14 | 2016 |
| Method and system for non-invasively monitoring fluid flow in a subject M Rokni, RP Shechter, I Breskin, M Balberg, Y Metzger US Patent 9,027,412, 2015 | 12 | 2015 |
| Method and system for non-invasively monitoring fluid flow in a subject M Rokni, RP Shechter, I Breskin, M Balberg, Y Metzger US Patent 8,336,391, 2012 | 12 | 2012 |
| Ultrasound modulated light blood flow measurement using intensity autocorrelation function: a Monte-Carlo simulation A Tsalach, Y Metzger, I Breskin, R Zeitak, R Shechter Photons Plus Ultrasound: Imaging and Sensing 2014 8943, 520-530, 2014 | 8 | 2014 |
| Leveraging machine learning techniques to forecast patient prognosis after percutaneous coronary intervention. JACC Cardiovasc Interv. 2019; 12 (14): 1304–11 CJ Zack, C Senecal, Y Kinar, Y Metzger, Y Bar-Sinai, RJ Widmer, ... | 5 | |
| A BP variant with improved convergence and generalization R Aloni-Lavi, Y Metzger, Y Stein Proc. IJCNN, Baltimore 1, 932-937, 1992 | 3 | 1992 |
| Voice mining with multiple target speakers R Gazit, Y Metzger ODYSSEY04-The Speaker and Language Recognition Workshop, 2004 | 2 | 2004 |
| Speaker verification over cellular networks R Gazit, Y Metzger, O Toledo-Ronen 2001: A Speaker Odyssey-The Speaker Recognition Workshop, 2001 | 2 | 2001 |
| Learning temporal sequences by excitatory synaptic changes only Y Metzger, D Lehmann Network: Computation in Neural Systems 5 (1), 89-99, 1994 | 2 | 1994 |
| " Text-prompted" Without Text: a Language-independent Voice-prompted Speaker Recognition System Y Metzger, R Gazit ODYSSEY04-The Speaker and Language Recognition Workshop, 2004 | 1 | 2004 |
| Blind segmentation of a multi-speaker conversation using two different sets of features Y Metzger 2001: A Speaker Odyssey-The Speaker Recognition Workshop, 2001 | 1 | 2001 |
| Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention C Senecal, CJ Zack, Y Kinar, Y Bar-Sinai, Y Metzger, G Hilevitz, A Lerman, ... Circulation 134 (suppl_1), A17973-A17973, 2016 | | 2016 |
