selected publications
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academic article
- A framework based on Hidden Markov Trees for multimodal PET/CT image co-segmentation. . 2017
- Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise. Signal Processing. 91:163-175. 2010
- Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas. IEEE Transactions on Automatic Control. 55:338-349. 2010
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conference paper
- MR-based PET attenuation correction through the generation of pseudo-CT data from a single MRI sequence. HAL (Le Centre pour la Communication Scientifique Directe). 2014
- PET/CT image denoising and segmentation based on a multi observation and a multi scale Markov tree model. 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). 1-4. 2013