| Analysis of human brain structure reveals that the brain “types” typical of males are also typical of females, and vice versa D Joel, A Persico, M Salhov, Z Berman, S Oligschläger, I Meilijson, ... Frontiers in human neuroscience 12, 399, 2018 | 87 | 2018 |
| Multi-view diffusion maps O Lindenbaum, A Yeredor, M Salhov, A Averbuch Information Fusion 55, 127-149, 2020 | 84 | 2020 |
| Application of MR morphologic, diffusion tensor, and perfusion imaging in the classification of brain tumors using machine learning scheme S Shrot, M Salhov, N Dvorski, E Konen, A Averbuch, C Hoffmann Neuroradiology 61, 757-765, 2019 | 53 | 2019 |
| Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate E Rubinstein, M Salhov, M Nidam-Leshem, V White, S Golan, J Baniel, ... Medical image analysis 55, 27-40, 2019 | 28 | 2019 |
| Gaussian bandwidth selection for manifold learning and classification O Lindenbaum, M Salhov, A Yeredor, A Averbuch Data mining and knowledge discovery 34 (6), 1676-1712, 2020 | 25 | 2020 |
| Approximately-isometric diffusion maps M Salhov, A Bermanis, G Wolf, A Averbuch Applied and Computational Harmonic Analysis 38 (3), 399-419, 2015 | 21 | 2015 |
| Multi-view kernel consensus for data analysis M Salhov, O Lindenbaum, Y Aizenbud, A Silberschatz, Y Shkolnisky, ... Applied and Computational Harmonic Analysis 49 (1), 208-228, 2020 | 19* | 2020 |
| L0-sparse canonical correlation analysis O Lindenbaum, M Salhov, A Averbuch, Y Kluger International Conference on Learning Representations, 2021 | 15 | 2021 |
| Learning coupled embedding using multiview diffusion maps O Lindenbaum, A Yeredor, M Salhov Latent Variable Analysis and Signal Separation: 12th International …, 2015 | 15 | 2015 |
| Patch-to-tensor embedding M Salhov, G Wolf, A Averbuch Applied and Computational Harmonic Analysis 33 (2), 182-203, 2012 | 13 | 2012 |
| Image inpainting using directional wavelet packets originating from polynomial splines A Averbuch, P Neittaanmäki, V Zheludev, M Salhov, J Hauser Signal Processing: Image Communication 97, 116334, 2021 | 11 | 2021 |
| Measure-based diffusion grid construction and high-dimensional data discretization A Bermanis, M Salhov, G Wolf, A Averbuch Applied and Computational Harmonic Analysis 40 (2), 207-228, 2016 | 8 | 2016 |
| Kernel scaling for manifold learning and classification O Lindenbaum, M Salhov, A Yeredor, A Averbuch arXiv preprint arXiv:1707.01093, 2017 | 7 | 2017 |
| A carrier-grade wireless lan network implementation [application notes] A Adler, M Salhov IEEE Microwave Magazine 9 (4), 108-119, 2008 | 7 | 2008 |
| A robust maximum likelihood multiuser detector in the presence of signature uncertainties M Salhov, A Wiesel, YC Eldar 2004 12th European Signal Processing Conference, 185-188, 2004 | 7 | 2004 |
| An hybrid denoising algorithm based on directional wavelet packets A Averbuch, P Neittaanmäki, V Zheludev, M Salhov, J Hauser Multidimensional Systems and Signal Processing 33 (4), 1151-1183, 2022 | 6 | 2022 |
| Coupling BM3D with directional wavelet packets for image denoising A Averbuch, P Neittaanmaki, V Zheludev, M Salhov, J Hauser arXiv preprint arXiv:2008.11595, 2020 | 6 | 2020 |
| -based Sparse Canonical Correlation Analysis O Lindenbaum, M Salhov, A Averbuch, Y Kluger arXiv preprint arXiv:2010.05620, 2020 | 4 | 2020 |
| Incomplete pivoted qr-based dimensionality reduction A Bermanis, A Rotbart, M Salhov, A Averbuch arXiv preprint arXiv:1607.03456, 2016 | 4 | 2016 |
| A subgradient solution to structured robust least squares problems M Salhov IEEE Transactions on Signal Processing 58 (9), 4761-4770, 2010 | 4 | 2010 |
