John C. Marshall

most citedReplacing the Framingham-based equation for prediction of cardiovascular disease risk and adverse outcome by using artificial intelligence and retinal imaging

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

nucl-ex2025

First Measurement of $π^{+}$ -Ar and $p$ -Ar Total Inelastic Cross Sections in the Sub-GeV Energy Regime with ProtoDUNE-SP Data

DUNE Collaboration, S. Abbaslu, F. Abd Alrahman +1346

The ProtoDUNE-SP detector, a kiloton-scale prototype for the Deep Underground Neutrino Experiment (DUNE) far detector, is the largest liquid argon time projection chamber built to…

hep-ex2025

Identification of low-energy kaons in the ProtoDUNE-SP detector

DUNE Collaboration, S. Abbaslu, F. Abd Alrahman +1343

The Deep Underground Neutrino Experiment (DUNE) is a next-generation neutrino experiment with a rich physics program that includes searches for the hypothetical phenomenon of proto…

eess.IV2022★ 1 cited

Replacing the Framingham-based equation for prediction of cardiovascular disease risk and adverse outcome by using artificial intelligence and retinal imaging

Ehsan Vaghefi, David Squirrell, Songyang An +2

Purpose: To create and evaluate the accuracy of an artificial intelligence Deep learning platform (ORAiCLE) capable of using only retinal fundus images to predict both an individua…

First Measurement of π+-Ar and p-Ar Total Inelastic Cross Sections in the Sub-GeV Energy Regime with ProtoDUNE-SP Data

Identification of low-energy kaons in the ProtoDUNE-SP detector

Replacing the Framingham-based equation for prediction of cardiovascular disease risk and adverse outcome by using artificial intelligence and retinal imaging

First Measurement of $π^{+}$ -Ar and $p$ -Ar Total Inelastic Cross Sections in the Sub-GeV Energy Regime with ProtoDUNE-SP Data