| Deep-STORM: super-resolution single-molecule microscopy by deep learning E Nehme, LE Weiss, T Michaeli, Y Shechtman Optica 5 (4), 458-464, 2018 | 592 | 2018 |
| Democratising deep learning for microscopy with ZeroCostDL4Mic L von Chamier, RF Laine, J Jukkala, C Spahn, D Krentzel, E Nehme, ... Nature communications 12 (1), 2276, 2021 | 434* | 2021 |
| DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning E Nehme, D Freedman, R Gordon, B Ferdman, LE Weiss, O Alalouf, ... Nature methods 17 (7), 734-740, 2020 | 287 | 2020 |
| Single-particle diffusion characterization by deep learning N Granik, LE Weiss, E Nehme, M Levin, M Chein, E Perlson, Y Roichman, ... Biophysical journal 117 (2), 185-192, 2019 | 168 | 2019 |
| Learning optimal wavefront shaping for multi-channel imaging E Nehme, B Ferdman, LE Weiss, T Naor, D Freedman, T Michaeli, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (7), 2179-2192, 2021 | 42* | 2021 |
| VIPR: vectorial implementation of phase retrieval for fast and accurate microscopic pixel-wise pupil estimation B Ferdman, E Nehme, LE Weiss, R Orange, O Alalouf, Y Shechtman Optics express 28 (7), 10179-10198, 2020 | 36 | 2020 |
| 3D printable diffractive optical elements by liquid immersion R Orange-Kedem, E Nehme, LE Weiss, B Ferdman, O Alalouf, ... Nature communications 12 (1), 3067, 2021 | 29 | 2021 |
| Herna ́ ndez-Pe ́ rez, S L Von Chamier, RF Laine, J Jukkala, C Spahn, D Krentzel, E Nehme, ... Mattila, PK, Karinou, E. et al, 2021 | 21 | 2021 |
| Roadmap on deep learning for microscopy G Volpe, C Wählby, L Tian, M Hecht, A Yakimovich, K Monakhova, ... ArXiv, 2023 | 14 | 2023 |
| Microscopic scan-free surface profiling over extended axial ranges by point-spread-function engineering R Gordon-Soffer, LE Weiss, R Eshel, B Ferdman, E Nehme, M Bercovici, ... Science Advances 6 (44), eabc0332, 2020 | 10 | 2020 |
| Automated analysis of fluorescence kinetics in single-molecule localization microscopy data reveals protein stoichiometry A Saguy, TN Baldering, LE Weiss, E Nehme, C Karathanasis, MS Dietz, ... The Journal of Physical Chemistry B 125 (22), 5716-5721, 2021 | 8 | 2021 |
| Uncertainty quantification via neural posterior principal components E Nehme, O Yair, T Michaeli Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Learning optimal multicolor PSF design for 3D pairwise distance estimation O Goldenberg, B Ferdman, E Nehme, YS Ezra, Y Shechtman Intelligent Computing 2022, 0004, 2022 | 3 | 2022 |
| Deep-ROCS: from speckle patterns to superior-resolved images by deep learning in rotating coherent scattering microscopy A Saguy, F Jünger, A Peleg, B Ferdman, E Nehme, A Rohrbach, ... Optics Express 29 (15), 23877-23887, 2021 | 3 | 2021 |
| Quantifying cell-cycle-dependent chromatin dynamics during interphase by live 3D tracking T Naor, Y Nogin, E Nehme, B Ferdman, LE Weiss, O Alalouf, ... Iscience 25 (5), 2022 | 2 | 2022 |
| Deep learning for dense and multicolor localization microscopy (Conference Presentation) E Nehme, E Hershko, LE Weiss, T Michaeli, Y Shechtman Single Molecule Spectroscopy and Superresolution Imaging XII 10884, 108840R, 2019 | 2 | 2019 |
| Large-FOV 3D localization microscopy by spatially variant point spread function generation D Xiao, R Kedem Orange, N Opatovski, A Parizat, E Nehme, O Alalouf, ... Science Advances 10 (10), eadj3656, 2024 | 1 | 2024 |
| Depth-enhanced high-throughput microscopy by compact PSF engineering N Opatovski, E Nehme, N Zoref, I Barzilai, R Orange Kedem, B Ferdman, ... Nature Communications 15 (1), 4861, 2024 | | 2024 |
| Hierarchical Uncertainty Exploration via Feedforward Posterior Trees E Nehme, R Mulayoff, T Michaeli arXiv preprint arXiv:2405.15719, 2024 | | 2024 |
| Uncertainty Visualization via Low-Dimensional Posterior Projections O Yair, E Nehme, T Michaeli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Yoav ShechtmanAssociate Professor, Technion - Israel Institute of TechnologyVerified email at bm.technion.ac.il
