• 
  Pierre Rougé, Nicolas Passat, Odyssée Merveille. U-Net en cascade utilisant une fonction de perte topologique pour la segmentation du réseau vasculaire cérébral. Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2023, Paris, France. ⟨hal-03929832⟩
• 
  Philippe Quétin, Nicolas Leboucq, Charlotte Boyer, Françoise Crozier, Philippe Delachartre, et al.. On punctate white matter lesions in preterm infants: Is ultrasound diagnosis feasible?. European Journal of Paediatric Neurology, 2024, 49 (March), pp.120-128. ⟨10.1016/j.ejpn.2024.02.014⟩. ⟨hal-04498465⟩
• 
  Elise Peter, Le Duy Do, Salem Hannoun, Sergio Muñiz-Castrillo, Alberto Vogrig, et al.. Cerebellar Ataxia With Anti-DNER Antibodies. Neurology Neuroimmunology & Neuroinflammation, 2022, 9 (5), ⟨10.1212/NXI.0000000000200018⟩. ⟨hal-04543623⟩
• 
  Laurent Pierot, Saleh Lamin, Xavier Barreau, Ansgar Berlis, Elisa Ciceri, et al.. Coating (Coating to Optimize Aneurysm Treatment in the New Flow Diverter Generation) study. The first randomized controlled trial evaluating a coated flow diverter (p64 MW HPC): study design. Journal of Neurointerventional Surgery, 2023, 15 (7), pp.684-688. ⟨10.1136/neurintsurg-2022-018969⟩. ⟨hal-04542446⟩
• 
  S. Knippenberg, G. Fabre, S. Osella, Florent Di Meo, M. Paloncýová, et al.. Atomistic Picture of Fluorescent Probes with Hydrocarbon Tails in Lipid Bilayer Membranes: An Investigation of Selective Affinities and Fluorescent Anisotropies in Different Environmental Phases. Langmuir, 2018, 34 (30), pp.9072 - 9084. ⟨10.1021/acs.langmuir.8b01164⟩. ⟨hal-01911270⟩
• 
  Benoit Freiche. Intégration hiérarchique de données d’imagerie cardiaque par apprentissage automatique. Imagerie médicale. Université Claude Bernard Lyon 1, 2023. Français. ⟨NNT : ⟩. ⟨tel-04540460⟩
• 
  Nicolas Duchateau. Atlas statistiques et apprentissage de représentations pour la caractérisation de la fonction cardiaque à l’échelle de populations. Imagerie médicale. Université Claude Bernard Lyon 1, 2023. ⟨tel-04540429⟩
• 
  Marc Robini, Lihui Wang, Yue-Min Zhu. THE APPEALS OF QUADRATIC MAJORIZATION-MINIMIZATION. Journal of Global Optimization, 2024, ⟨10.1007/s10898-023-01361-1⟩. ⟨ujm-04539351⟩
• 
  Séréna Hariga, Jérémy E Cohen, Nicolas Ducros. Joint Reconstruction and Spectral Unmixing from Single-Pixel Acquisitions. 2024. ⟨hal-04539349⟩
• 
  Shunchao Guo, Qijian Chen, Li Wang, Lihui Wang, Yue-Min Zhu. nnUnetFormer: An Automatic Method Based on nnUnet and Transformer for Brain Tumor Segmentation with Multimodal MR Images. Physics in Medicine and Biology, 2023, 68 (24), pp.245012. ⟨10.1088/1361-6560/ad0c8d⟩. ⟨hal-04537537⟩
• 
  Thomas Maitre, Elie Bretin, Romain Phan, Nicolas Ducros, Michaël Sdika. Dynamic Single-Pixel Imaging on an Extended Field of View without Warping the Patterns. 2024. ⟨hal-04533981⟩
• 
  Vincent Cottin, Philippe Bonniaud, Jacques Cadranel, Bruno Crestani, Stéphane Jouneau, et al.. French practical guidelines for the diagnosis and management of idiopathic pulmonary fibrosis – 2021 update. Full-length version. Respiratory Medicine and Research, 2023, 83, pp.100948. ⟨10.1016/j.resmer.2022.100948⟩. ⟨hal-04087431⟩
• 
  Slim Hachicha, Célia Le, Valentine Wargnier-Dauchelle, Michaël Sdika. Robust Unsupervised Image to Template Registration Without Image Similarity Loss. Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, IABM, Feb 2024, Grenoble, France. ⟨hal-04531824⟩
• 
  Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika. Construction et apprentissage sous contraintes de réseaux monotones pour une classification interprétable et la détection d'anomalies. Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2024, Grenoble, France. ⟨hal-04531799⟩
• 
  Julia Puig, Denis Friboulet, Hang Jung Ling, François Varray, Jonathan Porée, et al.. Boosting Cardiac Color Doppler Frame Rates with Deep Learning. 2024. ⟨hal-04495325⟩
• 
  Andrew King, Nicolas Duchateau. Conclusions. AI and Big Data in Cardiology, Springer International Publishing, pp.201-203, 2023, ⟨10.1007/978-3-031-05071-8_11⟩. ⟨hal-04212071⟩
• 
  Nicolas Duchateau, Oscar Camara, Rafael Sebastian, Andrew King. Analysis of Non-imaging Data. AI and Big Data in Cardiology, Springer International Publishing, pp.183-200, 2023, ⟨10.1007/978-3-031-05071-8_10⟩. ⟨hal-04212070⟩
• 
  Buntheng Ly, Mihaela Pop, Hubert Cochet, Nicolas Duchateau, Declan O’regan, et al.. Outcome Prediction. AI and Big Data in Cardiology : A Practical Guide, Springer International Publishing, pp.105-133, 2023, 978-3-031-05070-1. ⟨10.1007/978-3-031-05071-8_6⟩. ⟨hal-04212068⟩
• 
  Daniel Rueckert, Moritz Knolle, Nicolas Duchateau, Reza Razavi, Georgios Kaissis. Diagnosis. AI and Big Data in Cardiology, Springer International Publishing, pp.85-103, 2023, ⟨10.1007/978-3-031-05071-8_5⟩. ⟨hal-04212059⟩
• 
  Pierre-Marc Jodoin, Nicolas Duchateau, Christian Desrosiers. From Machine Learning to Deep Learning. AI and Big Data in Cardiology, Springer International Publishing, pp.35-56, 2023, ⟨10.1007/978-3-031-05071-8_3⟩. ⟨hal-04212050⟩

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