Effect of the degree of LAD stenosis on "competitive flow" and flow field characteristics in LIMA-to-LAD bypass surgery. - Abigail Swillens; Marloes De Witte; Håvard Nordgaard; Lasse Løvstakken; Denis Van Loo; Bram Trachet; Jan A. Vierendeels; Patrick Segers (Medical Biol. Eng. Comput., 2012)

Accuracy of Carotid Strain Estimates From Ultrasonic Wall Tracking: A Study Based on Multiphysics Simulations and In Vivo Data. - Abigail Swillens; Gianluca De Santis; Joris Degroote; Lasse Løvstakken; Jan A. Vierendeels; Patrick Segers (IEEE Trans. Medical Imaging, 2012)

Coherent Plane Wave Compounding for Very High Frame Rate Ultrasonography of Rapidly Moving Targets. - Bastien Denarie; Thor Andreas Tangen; Ingvild Kinn Ekroll; Natale Rolim; Hans Torp; Tore Bjastad; Lasse Løvstakken (IEEE Trans. Medical Imaging, 2013)

Model-Based Correction of Velocity Measurements in Navigated 3-D Ultrasound Imaging During Neurosurgical Interventions. - Daniel Høyer Iversen; Frank Lindseth; Geirmund Unsgård; Hans Torp; Lasse Løvstakken (IEEE Trans. Medical Imaging, 2013)

Live ultrasound-based particle visualization of blood flow in the heart. - Paolo Angelelli; Sten Roar Snare; Helwig Hauser; Siri Ann Nyrnes; Lasse Løvstakken; Stefan Bruckner (SCCG, 2014)

Vessel Detection in Ultrasound Images Using Deep Convolutional Neural Networks. - Erik Smistad; Lasse Løvstakken (LABELS/DLMIA@MICCAI, 2016)

Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. - Andreas Østvik; Erik Smistad; Torvald Espeland; Erik Andreas Rye Berg; Lasse Løvstakken (DLMIA/ML-CDS@MICCAI, 2018)

Automatic intraoperative estimation of blood flow direction during neurosurgical interventions. - Daniel Høyer Iversen; Lasse Løvstakken; Geirmund Unsgård; Ingerid Reinertsen (Int. J. Comput. Assist. Radiol. Surg., 2018)

4-D Intracardiac Ultrasound Vector Flow Imaging-Feasibility and Comparison to Phase-Contrast MRI. - Morten Smedsrud Wigen; Solveig Fadnes; Alfonso Rodriguez-Molares; Tore Bjastad; Marius Eriksen; Knut Haakon Stensath; Asbjorn Stoylen; Lasse Løvstakken (IEEE Trans. Medical Imaging, 2018)

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. - Sarah Leclerc; Erik Smistad; João Pedrosa; Andreas Østvik; Frederic Cervenansky; Florian Espinosa; Torvald Espeland; Erik Andreas Rye Berg; Pierre-Marc Jodoin; Thomas Grenier; Carole Lartizien; Jan D'hooge; et al. (IEEE Trans. Medical Imaging, 2019)

LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. - Sarah Leclerc; Erik Smistad; Andreas Østvik; Frederic Cervenansky; Florian Espinosa; Torvald Espeland; Erik Andreas Rye Berg; Thomas Grenier; Carole Lartizien; Pierre-Marc Jodoin; Lasse Løvstakken; Olivier Bernard 001 (CoRR, 2020)

Myocardial Function Imaging in Echocardiography Using Deep Learning. - Andreas Østvik; Ivar Mjåland Salte; Erik Smistad; Thuy Mi Nguyen; Daniela Melichova; Harald Brunvand; Kristina Haugaa; Thor Edvardsen; Bjørnar Leangen Grenne; Lasse Løvstakken (IEEE Trans. Medical Imaging, 2021)

Comparison of ultrasound vector flow imaging and CFD simulations with PIV measurements of flow in a left ventricular outflow trackt phantom - Implications for clinical use and in silico studies. - Paul Roger Leinan; Thomas Grønli; Paal Skjetne; Morten Smedsrud Wigen; Stig Urheim; Lasse Løvstakken; Sigrid K. Dahl (Comput. Biol. Medicine, 2022)

Towards Robust Cardiac Segmentation using Graph Convolutional Networks. - Gilles Van De Vyver; Sarina Thomas; Guy Ben-Yosef; Sindre Hellum Olaisen; Håvard Dalen; Lasse Løvstakken; Erik Smistad (CoRR, 2023)

EchoTracker: Advancing Myocardial Point Tracking in Echocardiography. - Md Abulkalam Azad; Artem Chernyshov; John Nyberg; Ingrid Tveten; Lasse Løvstakken; Håvard Dalen; Bjørnar Leangen Grenne; Andreas Østvik (MICCAI (4), 2024)

Toward Robust Cardiac Segmentation Using Graph Convolutional Networks. - Gilles Van De Vyver; Sarina Thomas; Guy Ben-Yosef; Sindre Hellum Olaisen; Håvard Dalen; Lasse Løvstakken; Erik Smistad (IEEE Access, 2024)

Deep Learning for Automated Egg Maturation Prediction of Atlantic Salmon Using Ultrasound Imaging. - Yasin Yari; Ingun Næve; Per Helge Bergtun; Asle Hammerdal; Svein-Erik Måsøy; Marco Marien Voormolen; Lasse Løvstakken (IEEE Access, 2024)

Regional quality estimation for echocardiography using deep learning. - Gilles Van De Vyver; Svein-Erik Måsøy; Håvard Dalen; Bjørnar Leangen Grenne; Espen Holte; Sindre Hellum Olaisen; John Nyberg; Andreas Østvik; Lasse Løvstakken; Erik Smistad (CoRR, 2024)

Cardiac Valve Event Timing in Echocardiography Using Deep Learning and Triplane Recordings. - Benjamin Strandli Fermann; John Nyberg; Espen W. Remme; Jahn Frederik Grue; Helén Grue; Roger Håland; Lasse Løvstakken; Håvard Dalen; Bjørnar Leangen Grenne; Svein Arne Aase; Sten Roar Snare; Andreas Østvik (IEEE J. Biomed. Health Informatics, 2024)

Generative augmentations for improved cardiac ultrasound segmentation using diffusion models. - Gilles Van De Vyver; Aksel Try Lenz; Erik Smistad; Sindre Hellum Olaisen; Bjørnar Leangen Grenne; Espen Holte; Håvard Dalen; Lasse Løvstakken (CoRR, 2025)

Low Complexity Point Tracking of the Myocardium in 2D Echocardiography. - Artem Chernyshov; John Nyberg; Vegard Holmstrøm; Md Abulkalam Azad; Bjørnar Leangen Grenne; Håvard Dalen; Svein Arne Aase; Lasse Løvstakken; Andreas Østvik (CoRR, 2025)

Taming Modern Point Tracking for Speckle Tracking Echocardiography via Impartial Motion. - Md Abulkalam Azad; John Nyberg; Håvard Dalen; Bjørnar Leangen Grenne; Lasse Løvstakken; Andreas Østvik (CoRR, 2025)