| DiffuserCam: lensless single-exposure 3D imaging N Antipa, G Kuo, R Heckel, B Mildenhall, E Bostan, R Ng, L Waller Optica 5 (1), 1-9, 2018 | 406 | 2018 |
| Physics-based learned design: optimized coded-illumination for quantitative phase imaging MR Kellman, E Bostan, NA Repina, L Waller IEEE Transactions on Computational Imaging 5 (3), 344-353, 2019 | 131 | 2019 |
| Combined multi-plane phase retrieval and super-resolution optical fluctuation imaging for 4D cell microscopy A Descloux, KS Grußmayer, E Bostan, T Lukes, A Bouwens, A Sharipov, ... Nature Photonics 12 (3), 165-172, 2018 | 101 | 2018 |
| Deep phase decoder: self-calibrating phase microscopy with an untrained deep neural network E Bostan, R Heckel, M Chen, M Kellman, L Waller Optica 7 (6), 559-562, 2020 | 90 | 2020 |
| Memory-efficient learning for large-scale computational imaging M Kellman, K Zhang, E Markley, J Tamir, E Bostan, M Lustig, L Waller IEEE Transactions on Computational Imaging 6, 1403-1414, 2020 | 55 | 2020 |
| Data-driven design for fourier ptychographic microscopy M Kellman, E Bostan, M Chen, L Waller 2019 IEEE International Conference on Computational Photography (ICCP), 1-8, 2019 | 55 | 2019 |
| Wavelet shrinkage with consistent cycle spinning generalizes total variation denoising U Kamilov, E Bostan, M Unser IEEE Signal Processing Letters, 19 (4), 187-190, 2012 | 49 | 2012 |
| Video from stills: Lensless imaging with rolling shutter N Antipa, P Oare, E Bostan, R Ng, L Waller 2019 IEEE International Conference on Computational Photography (ICCP), 1-8, 2019 | 44 | 2019 |
| Sparse Stochastic Processes and Discretization of Linear Inverse Problems E Bostan, US Kamilov, M Nilchian, M Unser IEEE Transactions on Image Processing, 22 (7), 2699-2710, 2013 | 42 | 2013 |
| A practical inverse-problem approach to digital holographic reconstruction A Bourquard, N Pavillon, E Bostan, C Depeursinge, M Unser Optics Express, 21 (3), 3417-3433, 2013 | 40 | 2013 |
| Variational Phase Imaging Using the Transport-of-Intensity Equation E Bostan, E Froustey, M Nilchian, D Sage, M Unser IEEE Transactions on Image Processing 25 (2), 807-8017, 2016 | 33 | 2016 |
| Phase retrieval by using transport-of-intensity equation and differential interference contrast microscopy E Bostan, E Froustey, B Rappaz, E Shaffer, D Sage, M Unser IEEE International Conference on Image Processing (ICIP), 3939-3943, 2014 | 27 | 2014 |
| Bayesian estimation for continuous-time sparse stochastic processes A Amini, U Kamilov, E Bostan, M Unser IEEE Transactions on Signal Processing, 61 (4), 907-920, 2012 | 27 | 2012 |
| Bayesian Denoising: From MAP to MMSE Using Consistent Cycle Spinning A Kazerouni, U Kamilov, E Bostan, M Unser IEEE Signal Processing Letters, 20 (3), 249-252, 2013 | 24 | 2013 |
| Variations of intracellular density during the cell cycle arise from tip-growth regulation in fission yeast PD Odermatt, TP Miettinen, J Lemière, JH Kang, E Bostan, SR Manalis, ... Elife 10, e64901, 2021 | 23 | 2021 |
| Accelerated Wirtinger flow for multiplexed Fourier ptychographic microscopy E Bostan, M Soltanolkotabi, D Ren, L Waller 2018 25th IEEE International Conference on Image Processing (ICIP), 3823-3827, 2018 | 20 | 2018 |
| Learning-based image reconstruction via parallel proximal algorithm E Bostan, US Kamilov, L Waller IEEE Signal Processing Letters 25 (7), 989-993, 2018 | 19 | 2018 |
| Wavelet statistics of sparse and self-similar images J Fageot, E Bostan, M Unser SIAM Journal on Imaging Sciences 8 (4), 2951-2975, 2015 | 18 | 2015 |
| Learning convex regularizers for optimal Bayesian denoising HQ Nguyen, E Bostan, M Unser IEEE Transactions on Signal Processing 66 (4), 1093-1105, 2017 | 15 | 2017 |
| Improved Variational Denoising of Flow Fields with Application to Phase-Contrast MRI Data E Bostan, S Lefkimmiatis, O Vardoulis, N Stergiopulos, M Unser IEEE Signal Processing Letters 22 (6), 762-766, 2015 | 15 | 2015 |
Michael UnserProfessor, Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), SwitzerlandAdresse e-mail validée de epfl.ch
