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researcher

L. Løvstakken

10 papers hereh-index 7143 citations51 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author8
  • last author1

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • eess.IV6
  • cs.CV4
same name
  • L. Løvstakken — 4 papers, h 35

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedCardiac valve event timing in echocardiography using deep learning and triplane recordings

5 citations · 5 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

eess.IV2026

Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking

Thierry Judge, Nicolas Duchateau, Andreas Østvik +6

Myocardial strain from echocardiography is a key biomarker for cardiac function. Recent deep learning methods show strong performance for myocardial motion tracking but often lack…

eess.IV2026

Deep Learning Strain Estimation: Is Physics-Based Simulation the Solution?

Thierry Judge, Nicolas Duchateau, Andreas Østvik +13

Speckle tracking echocardiography (STE) is the clinical standard for myocardial strain estimation. Despite good performance on global strain (GLS), its accuracy for regional strain…

cs.CV2026

EchoTracker2: Enhancing Myocardial Point Tracking by Modeling Local Motion

Md Abulkalam Azad, Vegard Holmstrøm, John Nyberg +4

Myocardial point tracking (MPT) has recently emerged as a promising direction for motion estimation in echocardiography, driven by advances in general-purpose point tracking method…

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