Instrumentation for positron emission tomography (PET) imaging has experienced
tremendous improvements in performance over the past 60 years since it was first conceived …

Abstract Machine learning approaches to medical image synthesis have shown outstanding
performance, but often do not convey uncertainty information. In this chapter, we survey …

Motivation Analysis of volatile organic compounds (VOCs) in exhaled breath by proton
transfer reaction time-of-flight mass spectrometry (PTR-TOF-MS) is of increasing interest for …

Segmentation of video with dynamic background is an important research topic in image
analysis and computer vision domains. In this paper, we present a novel recursive Bayesian …

In PET image reconstruction, it would be useful to obtain the entire posterior probability
distribution of the image, because it allows for both estimating image intensity and assessing …

We continue studies of the uncertainty quantification problem in emission tomographies
such as PET or SPECT when additional multimodal data (eg, anatomical MRI images) are …

Le Shot Noise est un processus aléatoire qui permet notamment de modéliser fidèlement le
nombre d'occurrences des interactions entre particules physiques et leurs détecteurs …

The analysis of Volatile Organic Compounds (VOCs) in exhaled breath is a promising non-
invasive approach in medicine for early diagnosis, phenotyping, disease and treatment …

In this paper, we address the problem of emission tomography spatial reconstruction in three
dimensions following a Bayesian nonparametric approach. Our model makes use of a …

Most iterative PET reconstruction methods are based on formulating a function relating the
observed acquired data to the unknown emission image. The reconstructed image …