Author

A. Østvik

2 papers indexed here

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Open access Sep 2026

Deep learning for automatic segmentation of the gestational sac and yolk sac from 3D ultrasound in early pregnancy

The feasibility of automated 3D volumetry as a promising alternative to the current standard manual measurement method is supported and could potentially reduce examination time, facilitate new research on early pregnancy development, and in the future reduce the diagnostic uncertainty that leads to prolonged follow-up...

R. H. Helland, E. B. Seljeflot, B. Kahrs et al. · Scientific Reports · 0 citations

#artificial intelligence Preprint Sep 2026

Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking

A state-of-the-art echocardiographic tracking method is extended with persistent memory tokens that share information across sliding windows over full cardiac cycles, supporting more reliable myocardial strain estimation in clinical practice and improving test-retest reproducibility.

Thierry Judge, Nicolas Duchateau, A. Østvik et al. · 0 citations