| The muse hubble ultra deep field survey-i. survey description, data reduction, and source detection R Bacon, S Conseil, D Mary, J Brinchmann, M Shepherd, M Akhlaghi, ... Astronomy & Astrophysics 608, A1, 2017 | 340 | 2017 |
| Extended Lyman α haloes around individual high-redshift galaxies revealed by MUSE L Wisotzki, R Bacon, J Blaizot, J Brinchmann, EC Herenz, J Schaye, ... Astronomy & Astrophysics 587, A98, 2016 | 321 | 2016 |
| sEMG time–frequency features for hand movements classification S Karheily, A Moukadem, JB Courbot, DO Abdeslam Expert Systems with Applications 210, 118282, 2022 | 17 | 2022 |
| Optimizing sample illumination scanning in transmission tomographic diffractive microscopy AM Taddese, N Verrier, M Debailleul, JB Courbot, O Haeberlé Applied optics 60 (6), 1694-1704, 2021 | 14 | 2021 |
| A fast homotopy algorithm for gridless sparse recovery JB Courbot, B Colicchio Inverse Problems 37 (2), 025002, 2021 | 14 | 2021 |
| Versatile transmission/reflection tomographic diffractive microscopy approach L Foucault, N Verrier, M Debailleul, JB Courbot, B Colicchio, B Simon, ... JOSA A 36 (11), C18-C27, 2019 | 13 | 2019 |
| Pairwise Markov fields for segmentation in astronomical hyperspectral images JB Courbot, V Mazet, E Monfrini, C Collet Signal Processing 163, 41-48, 2019 | 12 | 2019 |
| Vertebra segmentation based on two-step refinement JB Courbot, E Rust, E Monfrini, C Collet Journal of computational surgery 4, 1-22, 2016 | 11 | 2016 |
| Multimodal image reconstruction from tomographic diffraction microscopy data R Abbessi, N Verrier, AM Taddese, S Laroche, M Debailleul, M Lo, ... Journal of Microscopy 288 (3), 193-206, 2022 | 10 | 2022 |
| Unsupervised image segmentation with Gaussian pairwise Markov fields H Gangloff, JB Courbot, E Monfrini, C Collet Computational statistics & data analysis 158, 107178, 2021 | 10 | 2021 |
| Sparse analysis for mesoscale convective systems tracking JB Courbot, V Duval, B Legras Signal Processing: Image Communication 85, 115854, 2020 | 9 | 2020 |
| Oriented triplet Markov fields JB Courbot, E Monfrini, V Mazet, C Collet Pattern Recognition Letters 103, 16-22, 2018 | 9 | 2018 |
| Extended faint source detection in astronomical hyperspectral images JB Courbot, V Mazet, E Monfrini, C Collet Signal Processing 135, 274-283, 2017 | 9 | 2017 |
| Time-frequency Features for sEMG Signals Classification. S Karheily, A Moukadem, JB Courbot, DO Abdeslam BIOSIGNALS, 244-249, 2020 | 6 | 2020 |
| Triplet Markov trees for image segmentation JB Courbot, E Monfrini, V Mazet, C Collet 2018 IEEE Statistical Signal Processing Workshop (SSP), 233-237, 2018 | 4 | 2018 |
| 2-step robust vertebra segmentation JB Courbot, E Rust, E Monfrini, C Collet 2015 International Conference on Image Processing Theory, Tools and …, 2015 | 4 | 2015 |
| Optimizing sample illumination scanning for reflection and 4Pi tomographic diffractive microscopy AM Taddese, N Verrier, M Debailleul, JB Courbot, O Haeberlé Applied Optics 60 (25), 7745-7753, 2021 | 3 | 2021 |
| Unsupervised image segmentation with spatial triplet Markov trees H Gangloff, JB Courbot, E Monfrini, C Collet ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 3 | 2021 |
| Boosting the Sliding Frank-Wolfe solver for 3D deconvolution JB Courbot, B Colicchio arXiv preprint arXiv:2009.05473, 2020 | 3 | 2020 |
| Oriented triplet Markov fields for hyperspectral image segmentation JB Courbot, E Monfrini, V Mazet, C Collet 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2016 | 3 | 2016 |
