34 citations · 114 across the 9 of their papers we have counts for
9 papers
Efficient Convolutional Forward Model for Passive Acoustic Mapping and Temporal Monitoring
Tatiana Gelvez-Barrera, Barbara Nicolas, Bruno Gilles +2
Passive acoustic mapping (PAM) is a key imaging technique for characterizing cavitation activity in therapeutic ultrasound applications. Recent model-based beamforming algorithms o…
Time-Domain Linear Model-based Framework for Passive Acoustic Mapping of Cavitation Activity
Tatiana Gelvez-Barrera, Barbara Nicolas, Denis Kouamé +2
Passive acoustic mapping enables the spatial mapping and temporal monitoring of cavitation activity, playing a crucial role in therapeutic ultrasound applications. Most conventiona…
Super-resolution of 4D flow MRI through inverse problem explicit solving
Aurélien de Turenne, Rémi Cart-Lamy, Denis Kouamé
Four-dimensional Flow MRI enables non-invasive, time-resolved imaging of blood flow in three spatial dimensions, offering valuable insights into complex hemodynamics. However, its…
A Weighted Hankel Approach and Cramér-Rao Bound Analysis for Quantitative Acoustic Microscopy Imaging
Lorena Leon, Jonathan Mamou, Denis Kouamé +1
Quantitative acoustic microscopy (QAM) is a cutting-edge imaging modality that leverages very high-frequency ultrasound to characterize the acoustic and mechanical properties of bi…
DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration
Sayantan Dutta, Adrian Basarab, Bertrand Georgeot +1
This paper presents a deep neural network called DIVA unfolding a baseline adaptive denoising algorithm (De-QuIP), relying on the theory of quantum many-body physics. Furthermore,…
A Novel Image Denoising Algorithm Using Concepts of Quantum Many-Body Theory
Sayantan Dutta, Adrian Basarab, Bertrand Georgeot +1
Sparse representation of real-life images is a very effective approach in imaging applications, such as denoising. In recent years, with the growth of computing power, data-driven…
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops
Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit +3
Missing data is a recurrent problem in remote sensing, mainly due to cloud coverage for multispectral images and acquisition problems. This can be a critical issue for crop monitor…
Image Denoising Inspired by Quantum Many-Body physics
Sayantan Dutta, Adrian Basarab, Bertrand Georgeot +1
Decomposing an image through Fourier, DCT or wavelet transforms is still a common approach in digital image processing, in number of applications such as denoising. In this context…
Plug-and-Play Quantum Adaptive Denoiser for Deconvolving Poisson Noisy Images
Sayantan Dutta, Adrian Basarab, Bertrand Georgeot +1
A new Plug-and-Play (PnP) alternating direction of multipliers (ADMM) scheme is proposed in this paper, by embedding a recently introduced adaptive denoiser using the Schroedinger…