| Deep-Learning-Based Automatic Mineral Grain Segmentation and Recognition G Latif, K Bouchard, J Maitre, A Back, LP Bédard Minerals 12 (4), 455, 2022 | 42 | 2022 |
| A framework for microscopic grains segmentation and Classification for Minerals Recognition using hybrid features G Latif, K Bouchard, J Maitre, A Back, LP Bédard Earth Science Informatics, 1-18, 2024 | | 2024 |
| From Rocks to Pixels: A Protocol for Reproducible Mineral Imaging and its Applications in Machine Learning AL Back, LP Bédard, J Maitre, K Bouchard Minerals 14 (1), 51, 2023 | | 2023 |
| QUEMSCAN® simulation improvement in complex microporous material: A case study on nickel laterites A Kanzari, A Back, S Blancher, T Wallmach, V Delarue, M Pierre, T Bui XXX International Mineral Processing Congress 2020, 210, 2021 | | 2021 |
| From Rocks to Pixels: A Comprehensive Framework for Grain Shape Characterization through the Image Analysis of Size, Orientation, and Form Descriptors AL Back, C Kana Tepakbong, LP Bédard, A Barry Frontiers in Earth Science 13, 1508690, 0 | | |
L.Paul BedardProfesseur agrégé, Université du Québec à ChicoutimiVerificeret mail på uqac.ca