A deep learning approach for dog face verification and recognition G Mougeot, D Li, S Jia PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 22 | 2019 |
Automated 3D bio-imaging analysis of nuclear organization by NucleusJ 2.0 T Dubos, A Poulet, C Gonthier-Gueret, G Mougeot, E Vanrobays, Y Li, ... Nucleus 11 (1), 315-329, 2020 | 18 | 2020 |
MidiPGAN: A progressive GAN approach to MIDI generation S Walter, G Mougeot, Y Sun, L Jiang, KM Chao, H Cai 2021 IEEE 24th international conference on computer supported cooperative …, 2021 | 10 | 2021 |
Deep learning–promises for 3D nuclear imaging: a guide for biologists G Mougeot, T Dubos, F Chausse, E Péry, K Graumann, C Tatout, ... Journal of Cell Science 135 (7), jcs258986, 2022 | 7 | 2022 |
The INDEPTH (Impact of Nuclear Domains on Gene Expression and Plant Traits) Academy: a community resource for plant science C Tatout, G Mougeot, G Parry, C Baroux, M Pradillo, D Evans Journal of Experimental Botany 73 (7), 1926-1933, 2022 | 3 | 2022 |
Dense feature pyramid network for cartoon dog parsing J Wan, G Mougeot, X Yang The Visual Computer 36 (10), 2471-2483, 2020 | 2 | 2020 |
A new bio imagery user-friendly tool for automatic morphometry measurement on muscle cell cultures and histological sections A Brun, G Mougeot, P Denis, ML Collin, P Pouchin, C Montaurier, ... Scientific Reports 14 (1), 3108, 2024 | 1 | 2024 |
Deep learning for nuclear image analysis and application to 3D plant nuclei G Mougeot, F Chausse, S Desset, K Graumann ORASIS 2021, 2021 | | 2021 |