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Présentation de l'équipe
Dernières entrées
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Raphaëlle Karine Lemaire, Charlotte Raboutet, Thomas Leleu, Cyril Jaudet, Loise Dessoude, et al.. Artificial intelligence solution to accelerate the acquisition of MRI images: Impact on the therapeutic care in oncology in radiology and radiotherapy departments. Cancer/Radiothérapie, 2024, ⟨10.1016/j.canrad.2023.11.004⟩. ⟨hal-04618381⟩
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Benjamin Coupry, Jean Mélou, Antoine Laurent, Baptiste Brument, Pierre Gurdjos, et al.. Stéréophotométrie avec estimation locale de l'éclairage - Application à la reconstruction 3D du patrimoine archéologique. Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP 2024), Jul 2024, Lille, France. à paraître. ⟨hal-04594418⟩
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Natacha Lambert, Daniel Roquet, Matéo Mahaut, Nicolas Bitouzé, Gaël Chételat, et al.. Convolutional Neural Network Application for Brain PET Image Translation to Support Alzheimer's Disease Diagnosis. 2024 2nd International Conference on Computer Graphics and Image Processing (CGIP), Jan 2024, Kyoto, France. pp.139-146, ⟨10.1109/CGIP62525.2024.00033⟩. ⟨hal-04591457⟩
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Jean Mélou, Yvain Quéau, Antoine Laurent, Marjorie Redon, Jean-Denis Durou, et al.. Thin Details Meet Large-Scale 3D-Reconstruction: Photometric Stereo for Cultural Heritage. 1st international conference on artificIAl Intelligence and applied MAthematics for History and Archaeology (IAMAHA 2023), CEPAM; INRIA Côte d'Azur; I3S, Nov 2023, Nice, France. pp.Session 3 : AI-AM FOR MATERIALS OF THE PAST. ⟨hal-04559503⟩
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Baptiste Brument, Robin Bruneau, Yvain Quéau, Jean Mélou, François Lauze, et al.. RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction. IEEE / CVF International Conference on Computer Vision and Pattern Recognition (CVPR 2024), IEEE, Jun 2024, Seattle, United States. pp.5230-5239. ⟨hal-04526751v2⟩