most citedA Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy

98 citations · 112 across the 6 of their papers we have counts for

collaborators

7 papers

physics.med-ph20241 cited

Functional Assessment of Cerebral Capillaries using Single Capillary Reporters in Ultrasound Localization Microscopy

Stephen A Lee, Alexis Leconte, Alice Wu +4

The brain's microvascular cerebral capillary network plays a vital role in maintaining neuronal health, yet capillary dynamics are still not well understood due to limitations in e…

eess.IV2024

Towards Transcranial 3D Ultrasound Localization Microscopy of the Nonhuman Primate Brain

Paul Xing, Vincent Perrot, Adan Ulises Dominguez-Vargas +3

Hemodynamic changes occur in stroke and neurodegenerative diseases. Developing imaging techniques allowing the in vivo visualization and quantification of cerebral blood flow would…

physics.med-ph20239 cited

Sparse channel sampling for ultrasound localization microscopy (SPARSE-ULM)

Erwan Hardy, Jonathan Poree, Hatim Belgharbi +3

Ultrasound Localization Microscopy (ULM) has recently enabled the mapping of the cerebral vasculature in vivo with a resolution ten times smaller than the wavelength used, down to…

physics.med-ph20233 cited

Equivalent Time Active Cavitation Imaging

Simon Blais, Jonathan Poree, Gerardo Ramos-Palacios +4

The development of neurologically active drugs faces a challenge in treating brain diseases due to the blood-brain barrier's impermeability. High-intensity focused ultrasound can o…

cs.CV202398 cited

A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy

Léo Milecki, Jonathan Porée, Hatim Belgharbi +6

Ultrasound Localization Microscopy can resolve the microvascular bed down to a few micrometers. To achieve such performance microbubble contrast agents must perfuse the entire micr…

physics.med-ph20231 cited

Ergodic encoding for single-element ultrasound imaging in vivo

Olivier Caron-Grenier, Jonathan Poree, Vincent Perrot +3

Conventional ultrasound imaging relies on the computation of geometric time delay from multiple sensors to detect the position of a scatterer. In this paper, we present Ergodic Rel…