Mathieu Pernot

This paper introduces a sparse deconvolution framework to enhance resolution in ultrafast power Doppler ultrasound imaging, improving microvascular and functional brain imaging without contrast agents.

SVD-SN2N improves denoising of SVD-filtered ultrasound images by converting multiplicative speckle to additive noise, enhancing SNR and vessel resolution without requiring clean references or raw data.

This paper introduces MS-SVD, a multi-stage SVD framework for ultrafast CEUS imaging that improves microbubble detection and vascular contrast by separating nonlinear signals from tissue clutter.

This study uses 3D ULM with Row-Column Arrays to image and quantify microvascular flow in mouse brains, differentiating arterial and venous subgraphs and extracting vascular metrics across 66 classes.

This paper introduces HAM-SVD, a method for ultrafast ultrasound imaging of gas vesicles that improves signal-to-background ratio compared to existing techniques.