3 papers
eess.IV2026
Echo-POSED: Geometric Self-Distillation for Echocardiography Guidance
Elias Stenhede, Edvart Grüner Bjerke, Joanna Sulkowska +4
We introduce Echo-POSED, a self-supervised framework for real-time transthoracic echocardiography (TTE) guidance that recommends probe adjustments directly from 2D ultrasound image…
cs.AI2026
Associations between echocardiographic traits and AI-ECG predictions of heart failure
Elias Stenhede, Eivind Bjørkan Orstad, Torbjørn Omland +2
Artificial intelligence-enabled electrocardiography (AI-ECG) can detect heart failure (HF), including disease not captured by left ventricular ejection fraction (LVEF), but the car…
cs.CV2026
EchoXFlow: A Beamspace Echocardiography Dataset for Cardiac Motion, Flow, and Function
Elias Stenhede, Joanna Sulkowska, Eivind Bjørkan Orstad +2
We introduce EchoXFlow, a clinical echocardiography dataset for learning from ultrasound in its native acquisition geometry rather than from scan-converted Cartesian videos. Existi…