| DeconvolutionLab2: An open-source software for deconvolution microscopy D Sage, L Donati, F Soulez, D Fortun, G Schmit, A Seitz, R Guiet, ... Methods 115, 28-41, 2017 | 705 | 2017 |
| DeepImageJ: A user-friendly environment to run deep learning models in ImageJ E Gómez-de-Mariscal, C García-López-de-Haro, W Ouyang, L Donati, ... Nature methods 18 (10), 1192-1195, 2021 | 262 | 2021 |
| CryoGAN: A new reconstruction paradigm for single-particle cryo-EM via deep adversarial learning H Gupta, MT McCann, L Donati, M Unser IEEE Transactions on Computational Imaging 7, 759-774, 2021 | 118 | 2021 |
| Pocket guide to solve inverse problems with GlobalBioIm E Soubies, F Soulez, MT McCann, T Pham, L Donati, T Debarre, D Sage, ... Inverse Problems 35 (10), 104006, 2019 | 54 | 2019 |
| Compressed sensing for STEM tomography L Donati, M Nilchian, S Trépout, C Messaoudi, S Marco, M Unser Ultramicroscopy 179, 47-56, 2017 | 39 | 2017 |
| GlobalBioIm: A unifying computational framework for solving inverse problems M Unser, E Soubies, F Soulez, M McCann, L Donati Computational Optical Sensing and Imaging, CTu1B. 1, 2017 | 29 | 2017 |
| Joint angular refinement and reconstruction for single-particle cryo-em M Zehni, L Donati, E Soubies, Z Zhao, M Unser IEEE Transactions on Image Processing 29, 6151-6163, 2020 | 21 | 2020 |
| Fast multiscale reconstruction for Cryo-EM L Donati, M Nilchian, COS Sorzano, M Unser Journal of structural biology 204 (3), 543-554, 2018 | 16 | 2018 |
| A practical guide to supervised deep learning for bioimage analysis: challenges and good practices V Uhlmann, L Donati, D Sage IEEE Signal Processing Magazine 39 (2), 73-86, 2022 | 12 | 2022 |
| Inner-Loop Free ADMM for Cryo-EM L Donati, E Soubies, M Unser ISBI 2019-IEEE International Symposium on Biomedical Imaging, 2019 | 8 | 2019 |
| DeepImageJ: A user-friendly plugin to run deep learning models in ImageJ. bioRxiv E Gómez-de Mariscal, C García-López-de Haro, L Donati, M Unser, ... jan 1, 799270, 2019 | 7 | 2019 |
| DeepImageJ: a user-friendly plugin to run deep learning models in ImageJ. bioRxiv, 799270 E Gómez-de-Mariscal, C García-López-de-Haro, L Donati, M Unser, ... | 6 | 2019 |
| Learning to recover orientations from projections in single-particle cryo-EM J Banjac, L Donati, M Defferrard arXiv preprint arXiv:2104.06237, 2021 | 4 | 2021 |
| DeepImageJ: A user-friendly plugin to run deep learning models in ImageJ bioRxiv 2019, 799270 E Gómez-de-Mariscal, C García-López-de-Haro, L Donati, M Unser, ... Publisher Full Text, 0 | 4 | |
| DeepImageJ: a user-friendly plugin to run deep learning models in Image E Gómez-de-Mariscal, C Garcıa-López-de-Haro, L Donati J. bioRxiv, 1-13, 2019 | 3 | 2019 |
| Reconstruction methods for cryo-electron microscopy: From model-based to data-driven L Donati PhD Thesis, Fac. Sci. Eng. Tech. Program Elec. Eng., EPFL, Lausanne, Switzerland, 2020 | 2 | 2020 |
| Compressed sensing for dose reduction in stem tomography L Donati, M Nilchian, M Unser, S Trepout, C Messaoudi, S Marcoy 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 23-27, 2017 | 1 | 2017 |
| Random Beam Scanning Transmission Electron Microscopy and Compressive Sensing as Tools for Drastic Electron Dose Reduction in Electron Tomography S Trepout, M Nilchian, C Messaoudi, L Donati, M Unser, S Marco European Microscopy Congress 2016: Proceedings, 41-42, 2016 | 1 | 2016 |
| User-friendly Building of Reconstruction Algorithms with GlobalBioIm L Donati, E Soubies, M Unser Quantitative BioImaging Conference 2020, 2020 | | 2020 |
| Joint density map and continuous angular refinement in cryo-electron microscopy M Zehni, L Donati, E Soubies, ZJ Zhao, MN Do, M Unser Electronic Imaging 31, 1-5, 2019 | | 2019 |
Michael UnserProfessor, Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), SwitzerlandVerified email at epfl.ch
