208 citations · 1.7k across the 69 of their papers we have counts for
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A Novel Variational Approach for Multiphoton Microscopy Image Restoration: from PSF Estimation to 3D Deconvolution
Julien Ajdenbaum, Emilie Chouzenoux, Claire Lefort +2
In multi-photon microscopy (MPM), a recent in-vivo fluorescence microscopy system, the task of image restoration can be decomposed into two interlinked inverse problems: firstly, t…
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer
Aymen Sadraoui, Ségolène Martin, Eliott Barbot +4
This paper presents a new approach for classifying 2D histopathology patches using few-shot learning. The method is designed to tackle a significant challenge in histopathology, wh…
A primal-dual data-driven method for computational optical imaging with a photonic lantern
Carlos Santos Garcia, Mathilde Larchevêque, Solal O'Sullivan +4
Optical fibres aim to image in-vivo biological processes. In this context, high spatial resolution and stability to fibre movements are key to enable decision-making processes (e.g…
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density
Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet +1
This paper presents a new method for reconstructing regions of interest (ROI) from a limited number of computed tomography (CT) measurements. Classical model-based iterative recons…
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images -- Extended Version
Corbineau Marie-Caroline, Kouamé Denis, Chouzenoux Emilie +2
Joint deconvolution and segmentation of ultrasound images is a challenging problem in medical imaging. By adopting a hierarchical Bayesian model, we propose an accelerated Markov c…