• 
  Jeanne Malet, Philippe Querre, Simon Papine-Paktoris, Samy Blusseau, Santiago Velasco-Forero. Aerosol characterization on noisy surfaces by deep-learning methods. EAC2024 - The European Aerosol Conference, Aug 2024, Tampere, Finland. ⟨hal-04875162⟩
• 
  Mehran Mohammadi, Santiago Velasco-Forero, François Willot, Mateus Sangalli, Jesus Angulo. Choquet Capacity networks for random point process classification. International Conference on Continuum Models and Discrete Systems, Jun 2023, Paris, France. pp.229-241, ⟨10.1007/978-3-031-58665-1_18⟩. ⟨hal-04250560v3⟩
• 
  Lucas Monteiro Fernandes, Philipp Rieder, Matthias Neumann, Aude Mulard, Henry Proudhon, et al.. Effect of crystallographic twins on the elasto-plastic response of polycrystals. Proceedings of the 14th International Symposium on Continuum Models and Discrete Systems, Paris, France – 26-30 June 2023, Jun 2023, Paris, France. pp.89-103, ⟨10.1007/978-3-031-58665-1_7⟩. ⟨hal-04385959⟩
• 
  Xiaohu Liu, Thérèse Baldeweck, Pierre Dupuis, Thomas Bornschloegl, Etienne Decencière, et al.. Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information. Image Analysis & Stereology, 2024, 43 (3), pp.259-275. ⟨10.5566/ias.3406⟩. ⟨hal-04842444⟩
• 
  Romain Vo, Julie Escoda, Caroline Vienne, Etienne Decencière. Plug-and-play learned proximal trajectory for 3D sparse-view X-ray computed tomography. Lecture Notes in Computer Science, 15093, pp.221-238, 2025, Computer Vision – ECCV 2024, ⟨10.1007/978-3-031-72761-0_13⟩. ⟨hal-04842406⟩

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