| Resolution enhancement with a task-assisted GAN to guide optical nanoscopy image analysis and acquisition C Bouchard, T Wiesner, A Deschênes, A Bilodeau, B Turcotte, C Gagné, ... Nature Machine Intelligence 5 (8), 830-844, 2023 | 16 | 2023 |
| Addressing annotation and data scarcity when designing machine learning strategies for neurophotonics C Bouchard, R Bernatchez, F Lavoie-Cardinal Neurophotonics 10 (4), 044405-044405, 2023 | 7 | 2023 |
| Automated microscopy image segmentation and analysis with machine learning A Bilodeau, C Bouchard, F Lavoie-Cardinal Fluorescent Microscopy, 349-365, 2021 | 5 | 2021 |
| Understanding the nervous system: lessons from Frontiers in Neurophotonics Y De Koninck, J Alonso, S Bancelin, JC Béïque, E Bélanger, C Bouchard, ... Neurophotonics 11 (1), 014415-014415, 2024 | 2 | 2024 |
| Filtering Pixel Latent Variables for Unmixing Noisy and Undersampled Volumetric Images C Bouchard, A Deschênes, V Boulanger, JM Bellavance, ... arXiv preprint arXiv:2312.05357, 2023 | | 2023 |
| Unmixing Optical Signals from Undersampled Volumetric Measurements by Filtering the Pixel Latent Variables C Bouchard, A Deschênes, V Boulanger, JM Bellavance, J Chabbert, ... arXiv e-prints, arXiv: 2312.05357, 2023 | | 2023 |
| Filtering Pixel Latent Variables for Unmixing Volumetric Images C Bouchard, V Boulanger, F Lavoie-Cardinal, C Gagné CoRR, 2023 | | 2023 |
