activity
20192026
most citedMachine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks

661 citations · 672 across the 6 of their papers we have counts for

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cs.LG2022

SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification

Michael S. Yao, Allison Chae, Matthew T. MacLean +8

Early diagnosis of Type 2 Diabetes Mellitus (T2DM) is crucial to enable timely therapeutic interventions and lifestyle modifications. As the time available for clinical office visi…