| Multimode optical fiber transmission with a deep learning network B Rahmani, D Loterie, G Konstantinou, D Psaltis, C Moser Light: science & applications 7 (1), 69, 2018 | 300 | 2018 |
| Spatiotemporal self-similar fiber laser U Teğin, E Kakkava, B Rahmani, D Psaltis, C Moser Optica 6 (11), 1412-1415, 2019 | 118 | 2019 |
| Roadmap on wavefront shaping and deep imaging in complex media S Gigan, O Katz, HB De Aguiar, ER Andresen, A Aubry, J Bertolotti, ... Journal of Physics: Photonics 4 (4), 042501, 2022 | 99 | 2022 |
| Single-mode output by controlling the spatiotemporal nonlinearities in mode-locked femtosecond multimode fiber lasers U Teğin, B Rahmani, E Kakkava, D Psaltis, C Moser Advanced Photonics 2 (5), 056005-056005, 2020 | 96 | 2020 |
| Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks U Teğin, B Rahmani, E Kakkava, N Borhani, C Moser, D Psaltis Apl Photonics 5 (3), 2020 | 61 | 2020 |
| Imaging through multimode fibers using deep learning: The effects of intensity versus holographic recording of the speckle pattern E Kakkava, B Rahmani, N Borhani, U Teğin, D Loterie, G Konstantinou, ... Optical Fiber Technology 52, 101985, 2019 | 60 | 2019 |
| Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media B Rahmani, D Loterie, E Kakkava, N Borhani, U Teğin, D Psaltis, C Moser Nature Machine Intelligence 2 (7), 403-410, 2020 | 59 | 2020 |
| All-fiber spatiotemporally mode-locked laser with multimode fiber-based filtering U Teğin, B Rahmani, E Kakkava, D Psaltis, C Moser Optics Express 28 (16), 23433-23438, 2020 | 43 | 2020 |
| Phase resonance tuning and multi-band absorption via graphene-covered compound metallic gratings O Hemmatyar, B Rahmani, A Bagheri, A Khavasi IEEE Journal of Quantum Electronics 53 (5), 1-10, 2017 | 28 | 2017 |
| Terahertz quarter wave-plate metasurface polarizer based on arrays of graphene ribbons MR Tavakol, B Rahmani, A Khavasi IEEE Photonics Technology Letters 31 (12), 931-934, 2019 | 27 | 2019 |
| Deep learning-based image classification through a multimode fiber in the presence of wavelength drift E Kakkava, N Borhani, B Rahmani, U Teğin, C Moser, D Psaltis Applied Sciences 10 (11), 3816, 2020 | 25 | 2020 |
| Learning to image and compute with multimode optical fibers B Rahmani, I Oguz, U Tegin, J Hsieh, D Psaltis, C Moser Nanophotonics 11 (6), 1071-1082, 2022 | 22 | 2022 |
| Effect of graphene on the absorption and extraordinary transmission of light in 1-D metallic gratings A Bagheri, B Rahmani, A Khavasi IEEE Journal of Quantum Electronics 53 (3), 1-8, 2017 | 16 | 2017 |
| Wide-band/angle blazed dual-mode metallic groove gratings O Hemmatyar, MA Abbassi, B Rahmani, M Memarian, K Mehrany IEEE Transactions on Antennas and Propagation 69 (1), 379-386, 2020 | 15 | 2020 |
| Effective medium theory for graphene-covered metallic gratings B Rahmani, A Bagheri, A Khavasi, K Mehrany Journal of Optics 18 (10), 105005, 2016 | 14 | 2016 |
| Tunable polarization converter based on one-dimensional graphene metasurfaces MR Tavakol, B Rahmani, A Khavasi JOSA B 35 (10), 2574-2581, 2018 | 13 | 2018 |
| Backpropagation-free training of deep physical neural networks A Momeni, B Rahmani, M Malléjac, P Del Hougne, R Fleury Science 382 (6676), 1297-1303, 2023 | 11 | 2023 |
| Dispersion-managed soliton multimode fiber laser U Teğin, E Kakkava, B Rahmani, D Psaltis, C Moser 2020 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2020 | 10 | 2020 |
| Wavelength independent image classification through a multimode fiber using deep neural networks E Kakkava, N Borhani, B Rahmani, U Teğin, C Moser, D Psaltis The European Conference on Lasers and Electro-Optics, ci_2_1, 2019 | 5 | 2019 |
| Loss minimized data reduction in single-cell tomographic phase microscopy using 3D zernike descriptors P Memmolo, D Pirone, DG Sirico, L Miccio, V Bianco, AB Ayoub, D Psaltis, ... Optics and Lasers in Engineering 160, 107232, 2022 | 4 | 2022 |
Demetri PsaltisEcole Polytechnique Federale de LausanneVerified email at epfl.ch
