output
20162024
most citedA Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy

98 citations

6 papers

q-bio.GN20241 cited

The Canadian VirusSeq Data Portal & Duotang: open resources for SARS-CoV-2 viral sequences and genomic epidemiology

Erin E. Gill, Baofeng Jia, Carmen Lia Murall +67

The COVID-19 pandemic led to a large global effort to sequence SARS-CoV-2 genomes from patient samples to track viral evolution and inform public health response. Millions of SARS-…

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-ph2023

Equivalent-Time-Active-Cavitation-Imaging Enables Vascular-Resolution Blood-Brain-Barrier-Opening-Therapy Planning

Samuel Desmarais, Gerardo Ramos-Palacios, Jonathan Poree +4

Linking cavitation and anatomy was found to be important for predictable outcomes in Focused-Ultrasound Blood-Brain-Barrier-Opening and requires high resolution cavitation mapping.…

cs.LG201610 cited

Diet Networks: Thin Parameters for Fat Genomics

Adriana Romero, Pierre Luc Carrier, Akram Erraqabi +7

Learning tasks such as those involving genomic data often poses a serious challenge: the number of input features can be orders of magnitude larger than the number of training exam…