Introduction à l'imagerie biomédicale, Master 2 MMA, Université Paris Cité
Dates 2024 pour le projet :- Rapport : au plus tard le xx décembre- Transparents de la présentation au format pdf : Analyse d'articles :Pattern-Theoretic Characterization of Biological Growth,Ulf Grenander, Anuj Srivastava, and Sanjay Saini, IEEE TMI, 2007IMODAL: creating learnable user-defined deformation models, Leander Lacroix, Benjamin Charlier, Alain Trouvé, Barbara Gris 2021** Functional Currents : a new mathematical tool to model and analyse functional shapes, Nicolas Charon, and Alain Trouvé, Journal of mathematical imaging and vision - Springer, 2014Double diffeomorphism: combining morphometry and structural connectivity analysis, Pietro Gori et al., IEEE Transactions on Medical Imaging, 2018 Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles, Pietro Gori et al., IEEE Transactions on Medical Imaging, 2016Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing, Islem Rekik et al., Medical Image Analysis, 2016** A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations, Jean-Baptiste Schiratti et al., Journal of Machine Learning Research 18, 2017Wavelet-Based Multiscale Initial Flow For Improved Atlas Estimation in LDDMM, Fleur Gaudfernau et al., SPIE Medical Imaging, 2023Model-Driven Harmonic Parameterization of the Cortical Surface: HIP-HOP, Guillaume Auzias et al., IEEE Transactions on Medical Imaging, 2013A Reaction-Diffusion Model of Human Brain Development, Julien Lefèvre, and Jean-François Mangin, PLoS computational biology, 2010SPANOL (SPectral ANalysis Of Lobes): A spectral clustering framework for individual and group parcellation of cortical surfaces in lobes, J Lefèvre et al., Frontiers in Brain Imaging Methods, 2018Robust retinal vessel segmentation via locally adaptive derivative frames in orientation scores. J. Zhang et al., IEEE transactions on medical imaging, 2016Fuzzy c-means clustering with spatial information for image segmentation, Keh-Shih Chuang et al, Computerized Medical Imaging and Graphics, 2016 (l'étude de cet article sera accompagnée d'un rappel sur les méthodes k-means et d'une implémentation et démonstration du modèle) Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration, B.T. Thomas Yeo et al., IEEE Trans Med Imaging. 2010U-Net: Convolutional Networks for Biomedical Image Segmentation, O. Ronneberger, P. Fischer, and T. Brox, MICCAI 2015 de paire avec Attention U-Net: Learning Where to Look for the Pancreas, Ozan Oktay et al., 2018CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction, Léo Lebrat et al., Neurips 2021