Pilot study uses pretrained video encoder features from lung ultrasound to predict 30-day CHF readmission, finding lower-lung views and temporal differences most informative with top MLP F1 of 0.80.
IEEE Transactions on Robotics , author=
2 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
method 1polarities
use method 1representative citing papers
A LiDAR-inertial odometry pipeline supplies deterministic feasible sets as protection levels by linking ICP point-cloud noise to pose uncertainty via a closed-form relation and propagating it with an on-manifold ellipsoidal set-membership filter.
citing papers explorer
-
Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis
Pilot study uses pretrained video encoder features from lung ultrasound to predict 30-day CHF readmission, finding lower-lung views and temporal differences most informative with top MLP F1 of 0.80.
-
Safety-Critical LiDAR-Inertial Odometry with On-Manifold Deterministic Protection Level
A LiDAR-inertial odometry pipeline supplies deterministic feasible sets as protection levels by linking ICP point-cloud noise to pose uncertainty via a closed-form relation and propagating it with an on-manifold ellipsoidal set-membership filter.