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A variational Bayesian method for similarity learning in non-rigid image registration.

, , , , , , and . CVPR, page 119-128. IEEE, (2022)

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Dense Self-Supervised Learning for Medical Image Segmentation., , , and . CoRR, (2024)Image Registration via Stochastic Gradient Markov Chain Monte Carlo., , , and . UNSURE/GRAIL@MICCAI, volume 12443 of Lecture Notes in Computer Science, page 3-12. Springer, (2020)The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification., , , , , , , , and . PRIME@MICCAI, volume 12928 of Lecture Notes in Computer Science, page 201-211. Springer, (2021)Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty., , , , , , , and . NeurIPS, (2020)Statistical learning for image-based personalization of cardiac models. (Apprentissage statistique pour la personnalisation de modèles cardiaques à partir de données d'imagerie).. University of Nice Sophia Antipolis, France, (2015)Lifted Auto-Context Forests for Brain Tumour Segmentation., , , and . BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 171-183. (2016)Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface., , , , , , , , , and 1 other author(s). UNSURE/GRAIL@MICCAI, volume 12443 of Lecture Notes in Computer Science, page 174-186. Springer, (2020)Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training., , , , , and . STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 186-194. Springer, (2019)Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing., , , , , , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 221-234. Springer, (2019)Spectral Kernels for Probabilistic Analysis and Clustering of Shapes., , and . IPMI, volume 10265 of Lecture Notes in Computer Science, page 67-79. Springer, (2017)