Regularization with optimal space-time priors

TA Bubba, T Heikkilä, D Labate, L Ratti - arXiv preprint arXiv:2405.06337, 2024 - arxiv.org
We propose a variational regularization approach based on cylindrical shearlets to deal with
dynamic imaging problems, with dynamic tomography as guiding example. The idea is that …

Bayesian Nonparametrics and Biostatistics: The Case of PET Imaging

MD Fall - The International Journal of Biostatistics, 2019 - degruyter.com
Biostatistic applications often require to collect and analyze a massive amount of data.
Hence, it has become necessary to consider new statistical paradigms that perform well in …

Voxel-Based Lesion-Symptom Mapping: A Nonparametric Bayesian Approach

MD Fall, E Lavau, P Auzou - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
The study of brain-injured patients (or lesion-based analysis) is a powerful paradigm for
investigating structure-function relationships using neuroimaging techniques. Voxel-based …

Apports méthodologiques basés sur la parcimonie pour les problèmes inverses

A Fraysse - 2017 - hal.science
Les activités de recherche présentées dans cette habilitation sont portées par les méthodes
temps-fréquence et leur apport méthodologique au traitement du signal et de l'image, plus …