231 citations
- Stanford UniversityUS11 papers
- University of California, Los AngelesUS5 papers
- California NanoSystems InstituteUS4 papers
- Carnegie Mellon UniversityUS2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Cornell UniversityUS2 papers
- Harvard UniversityUS2 papers
- Howard Hughes Medical InstituteUS2 papers
- Massachusetts General HospitalUS2 papers
- Neurosciences InstituteUS2 papers
- Rice UniversityUS2 papers
- Seoul National UniversityKR2 papers
9 papers · 1 filter
Autonomous Uncertainty Quantification for Computational Point-of-care Sensors
Artem Goncharov, Rajesh Ghosh, Hyou-Arm Joung +2
Computational point-of-care (POC) sensors enable rapid, low-cost, and accessible diagnostics in emergency, remote and resource-limited areas that lack access to centralized medical…
Diffusiophoretic migration of colloidal particles in sucrose gradients
Antoine Monier, Brielle Byerley, Julien Renaudeau +3
Diffusiophoresis (DP) refers to the migration of particles driven by a solute concentration gradient in a liquid. Observations in the case of molecular neutral solutes are rather s…
EETnet: a CNN for Gaze Detection and Tracking for Smart-Eyewear
Andrea Aspesi, Andrea Simpsi, Aaron Tognoli +3
Event-based cameras are becoming a popular solution for efficient, low-power eye tracking. Due to the sparse and asynchronous nature of event data, they require less processing pow…
Inverse determination of light-matter coupling in disordered systems from transmittance spectra
Thales F. Macedo, Julián Faúndez, Antônio S. Coelho +4
We investigate quantum inverse problems in one-dimensional (1D) electronic disordered systems strongly coupled to optical cavities. More specifically, we consider the Anderson and…
Effect of Performance Feedback Timing on Motor Learning for a Surgical Training Task
Mary Kate Gale, Kailana Baker-Matsuoka, Ilana Nisky +1
Objective: Robot-assisted minimally invasive surgery (RMIS) has become the gold standard for a variety of surgical procedures, but the optimal method of training surgeons for RMIS…
Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI
Oliver Welin Odeback, Arivazhagan Geetha Balasubramanian, Jonas Schollenberger +9
4D Flow Magnetic Resonance Imaging (4D Flow MRI) enables non-invasive quantification of blood flow and hemodynamic parameters. However, its clinical application is limited by low s…