| Automatic and real-time identification of radionuclides in gamma-ray spectra: a new method based on convolutional neural network trained with synthetic data set G Daniel, F Ceraudo, O Limousin, D Maier, A Meuris IEEE Transactions on Nuclear Science 67 (4), 644-653, 2020 | 52 | 2020 |
| Second generation of portable gamma camera based on Caliste CdTe hybrid technology D Maier, C Blondel, C Delisle, O Limousin, J Martignac, A Meuris, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2018 | 21 | 2018 |
| Packed-ensembles for efficient uncertainty estimation O Laurent, A Lafage, E Tartaglione, G Daniel, JM Martinez, A Bursuc, ... arXiv preprint arXiv:2210.09184, 2022 | 15 | 2022 |
| Application of a deep learning algorithm to Compton imaging of radioactive point sources with a single planar CdTe pixelated detector G Daniel, Y Gutierrez, O Limousin Nuclear Engineering and Technology 54 (5), 1747-1753, 2022 | 10 | 2022 |
| Compton imaging reconstruction methods: a comparative performance study of direct back-projection, SOE, a new Bayesian algorithm and a new Compton inversion method applied to … G Daniel, O Limousin, D Maier, A Meuris, F Carrel EPJ Web of Conferences 225, 06006, 2020 | 9 | 2020 |
| Application of adversarial learning for identification of radionuclides in gamma-ray spectra Z Chaouai, G Daniel, JM Martinez, O Limousin, A Benoit-Levy Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2022 | 8 | 2022 |
| Extended sources reconstructions by means of coded mask aperture systems and deep learning algorithm G Daniel, O Limousin Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2021 | 8 | 2021 |
| Artificial gamma ray spectra simulation using generative adversarial networks (GANs) and supervised generative networks (SGNs) FMF de Oliveira, G Daniel, O Limousin Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2023 | 4 | 2023 |
| Energy calibration via correlation using an adaptive mesh refinement D Maier, O Limousin, G Daniel EPJ Web of Conferences 225, 01003, 2020 | 4 | 2020 |
| The Spid-X gamma camera: A miniature gamma ray integral field spectrometer for nuclear industry applications R Le Breton, O Limousin, G Daniel, D Diquelou, Y Gutierrez, JI Hullo, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2023 | 2 | 2023 |
| Deep Learning reconstruction with uncertainty estimation for γ photon interaction in fast scintillator detectors G Daniel, MB Yahiaoui, C Comtat, S Jan, O Kochebina, JM Martinez, ... Engineering Applications of Artificial Intelligence 131, 107876, 2024 | 1 | 2024 |
| Développement et optimisation d’une caméra Compton miniature à masque codé: méthode d’analyse d’un environnement radiatif par spectro-identification et localisation 3D de … G Daniel Université Paris Cité, 2020 | 1 | 2020 |
| Estimation efficace des incertitudes avec Packed-Ensembles O Laurent, A Lafage, E Tartaglione, G Daniel, JM Martinez, A Bursuc, ... ORASIS 2023, 2023 | | 2023 |
| Method and device for identifying atomic species emitting x-or gamma radiation O Limousin, G Daniel, D Maier US Patent App. 17/614,276, 2022 | | 2022 |
| Internship subject: Approximation of PDEs solutions by means of Machine Learning Models G Daniel, S Kokh Propositions de stages 2023 au CEA/STMF 463 (111290), 47, 2022 | | 2022 |
| Deep Learning for Compton image reconstruction with Caliste miniature imaging spectrometer: An innovative approach to enhance detection sensitivity G Daniel, O Limousin, Y Gutierrez ANIMMA 2021-The 7th International Conference on Advancements in Nuclear …, 2021 | | 2021 |
| Artificial Gamma Ray Spectra Simulation Using Generative Neural Networks (GNNs) F Matheus, G Daniel, O Limousin Energy (KeV) 10, 4, 0 | | |
