4 papers
Coding-agents can replicate scientific machine learning papers
Atharva Hans, Ilias Bilionis
Scientific machine learning papers typically make computational claims, e.g., that the relative mean square error is less than 5% or that the 95% predictive credible interval cover…
Bayesian Aneurysm Growth Detection via Surface Displacement Modeling
Jorge A. Roa Castro, Abhishek Singh, Atharva Hans +5
Clinical decisions for unruptured intracranial aneurysms depend on detecting growth on follow-up magnetic resonance angiography (MRA). Growth is typically judged from manual 2D dia…
SMURF: Scalable method for unsupervised reconstruction of flow in 4D flow MRI
Atharva Hans, Abhishek Singh, Pavlos Vlachos +1
We introduce SMURF, a scalable and unsupervised machine learning method for simultaneously segmenting vascular geometries and reconstructing velocity fields from 4D flow MRI data.…
Unbalanced optimal transport for stochastic particle tracking
Kairui Hao, Atharva Hans, Pavlos Vlachos +1
Non-invasive flow measurement techniques, such as particle tracking velocimetry, resolve 3D velocity fields by pairing tracer particle positions in successive time steps. These tra…