| Internal statistics of a single natural image M Zontak, M Irani CVPR 2011, 977-984, 2011 | 442 | 2011 |
| Combining the power of internal and external denoising I Mosseri, M Zontak, M Irani IEEE international conference on computational photography (ICCP), 1-9, 2013 | 131 | 2013 |
| Separating signal from noise using patch recurrence across scales M Zontak, I Mosseri, M Irani proceedings of the IEEE conference on computer vision and pattern …, 2013 | 112 | 2013 |
| Detailed evaluation of five 3D speckle tracking algorithms using synthetic echocardiographic recordings M Alessandrini, B Heyde, S Queirós, S Cygan, M Zontak, O Somphone, ... IEEE transactions on medical imaging 35 (8), 1915-1926, 2016 | 58 | 2016 |
| Defect detection in patterned wafers using anisotropic kernels M Zontak, I Cohen Machine Vision and Applications 21, 129-141, 2010 | 45 | 2010 |
| Device, system, and method of image processing utilizing non-uniform image patch recurrence M Irani, M Zontak US Patent App. 13/461,796, 2012 | 33 | 2012 |
| Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis N Parajuli, A Lu, K Ta, J Stendahl, N Boutagy, I Alkhalil, M Eberle, ... Medical image analysis 55, 116-135, 2019 | 28 | 2019 |
| Defect detection in patterned wafers using multichannel scanning electron microscope M Zontak, I Cohen Signal processing 89 (8), 1511-1520, 2009 | 25 | 2009 |
| Integrated dynamic shape tracking and rf speckle tracking for cardiac motion analysis N Parajuli, A Lu, JC Stendahl, M Zontak, N Boutagy, M Eberle, I Alkhalil, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 20 | 2016 |
| Flow network based cardiac motion tracking leveraging learned feature matching N Parajuli, A Lu, JC Stendahl, M Zontak, N Boutagy, I Alkhalil, M Eberle, ... Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 17 | 2017 |
| Efficient two-pass 3-D speckle tracking for ultrasound imaging GS Jeng, M Zontak, N Parajuli, A Lu, K Ta, AJ Sinusas, JS Duncan, ... IEEE Access 6, 17415-17428, 2018 | 12 | 2018 |
| Learning-based spatiotemporal regularization and integration of tracking methods for regional 4D cardiac deformation analysis A Lu, M Zontak, N Parajuli, JC Stendahl, N Boutagy, M Eberle, I Alkhalil, ... Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 11 | 2017 |
| Kernel-based detection of defects on semiconductor wafers M Zontak, I Cohen 2009 IEEE international workshop on machine learning for signal processing, 1-6, 2009 | 10 | 2009 |
| Learning-based regularization for cardiac strain analysis with ability for domain adaptation A Lu, N Parajuli, M Zontak, J Stendahl, K Ta, Z Liu, N Boutagy, GS Jeng, ... arXiv preprint arXiv:1807.04807, 2018 | 9 | 2018 |
| International Conference on Medical Image Computing and Computer-Assisted Intervention N Parajuli, A Lu, JC Stendahl, M Zontak, N Boutagy, I Alkhalil, M Eberle, ... | 9 | 2017 |
| Dictionary learning-based spatiotemporal regularization for 3D dense speckle tracking A Lu, M Zontak, N Parajuli, JC Stendahl, N Boutagy, M Eberle, ... Medical Imaging 2017: Ultrasonic Imaging and Tomography 10139, 17-24, 2017 | 7 | 2017 |
| Negative sampling algorithm for enhanced image classification O Nir, M Zontak, TC Burns, A Singhal, L Zhang, I Ofer, A Levi, H Sabo, ... US Patent App. 16/831,105, 2021 | 6* | 2021 |
| Speeding up 3D speckle tracking using PatchMatch M Zontak, M O'Donnell Medical Imaging 2016: Image Processing 9784, 1031-1037, 2016 | 4 | 2016 |
| Semi supervised animated character recognition in video O Nir, M Zontak, TC Burns, A Singhal, L Zhang, I Ofer, A Levi, H Sabo, ... US Patent App. 16/831,353, 2021 | 3* | 2021 |
| Semi supervised target recognition in video NIR Oron, M Zontak, TC Burns, A Singhal, L Zhang, I Ofer, A Levi, H Sabo, ... US Patent 11,823,453, 2023 | 1 | 2023 |
Michal IraniProfessor of Computer Science, Weizmann InstituteVerified email at weizmann.ac.il
