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Factor Analysis of Dynamic PET Images: Beyond Gaussian Noise., , , , , , and . IEEE Trans. Medical Imaging, 38 (9): 2231-2241 (2019)Dynamic and clinical PET data reconstruction: A nonparametric Bayesian approach., , , , , and . ICIP, page 345-349. IEEE, (2013)Bias Reduction for Low-Statistics PET: Maximum Likelihood Reconstruction With a Modified Poisson Distribution., , , , , , and . IEEE Trans. Medical Imaging, 34 (1): 126-136 (2015)Usability of PETSIRD, the PET Raw Data open format of the Emission Tomography Standardization Initiative (ETSI): results from ETSIâ&$\#$128;&$\#$153;s first hackathon, , , , , , , , , and 21 other author(s). Journal of Nuclear Medicine, 65 (supplement 2): 241285--241285 (2024)Unmixing Dynamic Pet Images: Combining Spatial Heterogeneity and Non-gaussian Noise., , , , , and . ICASSP, page 1373-1377. IEEE, (2019)Variational Segmentation of Vector-Valued Images With Gradient Vector Flow., , , , , , and . IEEE Trans. Image Processing, 23 (11): 4773-4785 (2014)4DGVF : segmentation variationnelle pour images 3D multicomposantes., , , , , , and . Traitement du Signal, 31 (1-2): 9-38 (2014)PET Reconstruction of the Posterior Image Probability, Including Multimodal Images., , , , and . IEEE Trans. Med. Imaging, 38 (7): 1643-1654 (2019)A New Method for Volume Segmentation of PET Images, Based on Possibility Theory., , , , , and . IEEE Trans. Medical Imaging, 30 (2): 409-423 (2011)Vector-based active surfaces for segmentation of dynamic PET images., , , , , and . ISBI, page 61-64. IEEE, (2013)