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  1. Employees

Språkvelger

Norsk

Andreas Østvik

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Andreas Østvik

Researcher
Department of Circulation and Medical Imaging
Faculty of Medicine and Health Sciences

andreas.ostvik@ntnu.no
AHL-senteret, Øya
Google Scholar
About Publications Outreach

About

 

Research Scientist at the Department of Circulation and Medical Imaging financed by Liaison Committee between the Central Norway Regional Health Authority (RHA) and the Norwegian University of Science and Technology (NTNU) . Current research projects involve automatic methods for analysing medical images using machine learning methodology. The main application is cardiac ultrasound imaging, where the goal is to develop good diagnostic tools and improve workflow in the clinic.

 

Research interests

  • Artificial Intelligence with emphasis on deep learning

  • Ultrasound, and other medical imaging modalities
  • Robotics, machine vision and autonomy in medical intervention

Background

Master of Science (MSc) in physics and mathematics with specialization in biophysics and medical technology. Master thesis on the topic of Robot Control in Image-Guided Intervention. PhD within automatic analysis in echocardiography using machine learning. 

Also working as a Senior Research Scientist at SINTEF Digital, Department of Health Research. 

Competencies

  • Deep learning
  • Neural networks

Publications

  • Chronological
  • By category
  • All publications registered in NVA

2026

  • Tveten, Ingrid Elisabeth; Nyberg, John; Grue, Jahn Frederik; Helland, Ragnhild Holden; Melichova, Daniela; Nguyen, Thuy Mi. (2026) Deep learning segmentation and quantification of the left ventricle from the parasternal short axis view. European Heart Journal-Cardiovascular Imaging
    Abstract
  • Yttervoll, Ingrid; Østvik, Andreas; Aadahl, Petter; Mo, Rune; Grenne, Bjørnar Leangen; Kirkeby-Garstad, Idar. (2026) Non-invasive cardiac power measurements in decompensated heart failure in elderly adults: A prospective proof-of-concept study. Physiological Reports
    Academic article
  • Dalen, Havard; Østvik, Andreas; Grenne, Bjørnar. (2026) Unveiling the future: deep learning redefines strain analysis in paediatric cardiology. European Heart Journal
    Academic article

2025

  • Azad, Md Abulkalam; Nyberg, John; Dalen, Håvard; Grenne, Bjørnar Leangen; Løvstakken, Lasse; Østvik, Andreas. (2025) Taming Modern Point Tracking for Speckle Tracking Echocardiography via Impartial Motion. IEEE International Conference on Computer Vision Workshop (ICCVW)
    Abstract
  • Yttervoll, Ingrid; Østvik, Andreas; Nyberg, John; Kirkeby-Garstad, Idar; Jakobsen, Even Olav; Aadahl, Petter. (2025) Echocardiographic Reference Ranges of Myocardial Work Indices from the HUNT4Echo Study. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article
  • Grenne, Bjørnar Leangen; Østvik, Andreas. (2025) Seeing the Invisible With Ultrasomics: Transforming Myocardial Tissue Characterization or Just Another Layer of Complexity?. JACC Cardiovascular Imaging
    Editorial
  • Woelfert, Ada; Mjølstad, Ole Christian; Dale, Ane Cecilie; Salvesen, Øyvind Olav; Lovstakken, Lasse; Dalen, Håvard. (2025) The impact of heart rate on echocardiographic measures of left ventricular function: Novel insights facilitated by deep learning. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article
  • Chernyshov, Artem; Nyberg, John Anders Tomas; Holmstrøm, Vegard; Azad, Md Abulkalam; Grenne, Bjørnar Leangen; Dalen, Håvard. (2025) Low Complexity Point Tracking of the Myocardium in 2D Echocardiography. IEEE Access
    Academic article
  • Tveten, Ingrid Elisabeth; Nyberg, John; Grue, Jahn Frederik; Helland, Ragnhild Holden; Melichova, Daniela; Nguyen, Thuy Mi. (2025) Deep Learning Segmentation and Quantification of the Left Ventricle from the Parasternal Short-Axis View in Echocardiography. Ultrasound in Medicine and Biology
    Academic article
  • Pettersen, Håkon; Sæbø, Sigbjørn; Pasdeloup, David; Smistad, Erik; Olaisen, Sindre Hellum; Østvik, Andreas. (2025) Real-time deep learning-based image guiding and automated left ventricular measurements to reduce test-retest variability. Open heart
    Academic article
  • Jakobsen, Even Olav; Østvik, Andreas; Pasdeloup, David; Smistad, Erik; Nyberg, John; Stølen, Stian Bergseng. (2025) Novel automated quality indicators for echocardiography and their importance for left ventricular strain.
    Other
  • Holmstrøm, Vegard; Smistad, Erik; Østvik, Andreas; Holte, Espen; Stølen, Stian Bergseng; Løvstakken, Lasse. (2025) Deep learning in echocardiography: real-time measurements of left ventricular wall thickness and chamber dimensions in the parasternal long-axis view. European Heart Journal-Cardiovascular Imaging
    Academic article
  • Melichova, Daniela; Nyberg, John; Nguyen, Thuy Mi; Salte, Ivar Mjåland; Brunvand, Harald; Haugaa, Kristina Ingrid Helena Hermann. (2025) Clinical validation of a novel fully automated measurement method for echocardiographic mechanical dispersion using deep learning. European Heart Journal-Cardiovascular Imaging
    Academic article
  • Holmstrøm, Vegard; Smistad, Erik; Grue, Jahn Frederik; Løvstakken, Lasse; Stølen, Stian Bergseng; Dalen, Håvard. (2025) Deep learning in echocardiography: Fully automated B-mode MAPSE measurements in real-time. European Heart Journal-Cardiovascular Imaging
    Academic article
  • Pasdeloup, David; Østvik, Andreas; Smistad, Erik; Nyberg, John; Jakobsen, Even Olav; Grenne, Bjørnar Leangen. (2025) Effect of apical foreshortening and transducer angulation on strain measurements: a quantitative investigation. European Heart Journal-Cardiovascular Imaging
    Abstract
  • Hu, Jieyu; Olaisen, Sindre Hellum; Pasdeloup, David; Vyver, Gilles van de; Østvik, Andreas; Holte, Espen. (2025) A deep learning-based pipeline for large-scale echocardiography data curation and measurements. The European Heart Journal – Digital Health (EHJ-DH)
    Academic article
  • Grenne, Bjørnar Leangen; Østvik, Andreas; Dalen, Håvard; Løvstakken, Lasse. (2025) One strain to rule them all? Inter-vendor variability in global longitudinal strain—progress made, challenges remain. European Heart Journal-Cardiovascular Imaging
    Editorial
  • Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Bøen, Gunn Catrin Fossum; Jakobsen, Even Olav; Langøy, Per Kristian Fahle; Nilsen, Hans Olav. (2025) Real-time guidance and automated measurements using deep learning to improve echocardiographic assessment of left ventricular size and function. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article
  • Holmstrøm, Vegard; Smistad, Erik; Stølen, Stian Bergseng; Holte, Espen; Løvstakken, Lasse; Dalen, Håvard. (2025) Real-Time Global Longitudinal Strain During Echocardiography: A Deep Learning Platform for Improved Workflow. Journal of the American Society of Echocardiography
    Academic article
  • Pasdeloup, David; Østvik, Andreas; Olaisen, Sindre Hellum; Skogvoll, Eirik; Dalen, Havard; Løvstakken, Lasse. (2025) Challenges and Strategies for Deep Learning in Cardiovascular Imaging. JACC Cardiovascular Imaging
    Academic article
  • Vyver, Gilles van de; Måsøy, Svein-Erik; Dalen, Håvard; Grenne, Bjørnar Leangen; Holte, Espen; Olaisen, Sindre Hellum. (2025) Regional Image Quality Scoring for 2-D Echocardiography Using Deep Learning. Ultrasound in Medicine and Biology
    Academic article
  • Sørensen, Kristian; Fadnes, Solveig; Mawad, Wadi; Henry, Matthew; Flade, Hans-Martin; Østvik, Andreas. (2025) Intraventricular Pressure Difference Estimation based on Blood Speckle Tracking - Invasive Validation and Early Clinical Application. European Heart Journal-Cardiovascular Imaging
    Academic article

2024

  • Woelfert, Ada; Dale, Ane Cecilie; Mjølstad, Ole Christian; Løvstakken, Lasse; Dalen, Håvard; Østvik, Andreas. (2024) The importance of heart rate on left ventricular global longitudinal strain in echocardiography: novel insights facilitated by automated deep learning methods. European Heart Journal
    Abstract
  • Fermann, Benjamin Strandli; Nyberg, John; Remme, Espen; Grue, Jahn Frederik; Grue, Helén; Håland, Roger. (2024) Cardiac Valve Event Timing in Echocardiography Using Deep Learning and Triplane Recordings. IEEE Journal of Biomedical and Health Informatics
    Academic article
  • Chernyshov, Artem; Grue, Jahn Frederik; Nyberg, John; Grenne, Bjørnar Leangen; Dalen, Håvard; Aase, Svein Arne. (2024) Automated Segmentation and Quantification of the Right Ventricle in 2-D Echocardiography. Ultrasound in Medicine and Biology
    Academic article
  • Grenne, Bjørnar Leangen; Østvik, Andreas. (2024) Kunstig intelliges i ekkokardiografi: Vår nye superassistent?. Hjerteforum
    Academic article
  • Nyberg, John; Østvik, Andreas; Salte, Ivar Mjåland; Olaisen, Sindre Hellum; Karlsen, Sigve; Dahlslett, Thomas. (2024) Deep learning improves test–retest reproducibility of regional strain in echocardiography. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article
  • Azad, Md Abulkalam; Chernyshov, Artem; Nyberg, John Anders Tomas; Tveten, Ingrid Elisabeth; Løvstakken, Lasse; Dalen, Håvard. (2024) EchoTracker: Advancing Myocardial Point Tracking in Echocardiography.
    Academic chapter/article/Conference paper
  • Grenne, Bjørnar Leangen; Østvik, Andreas. (2024) Beyond Years: Is Artificial Intelligence Ready to Predict Biological Age and Cardiovascular Risk Using Echocardiography?. Journal of the American Society of Echocardiography
    Editorial

2023

  • Salte, Ivar Mjåland; Østvik, Andreas; Olaisen, Sindre Hellum; Karlsen, Sigve; Dahlslett, Thomas; Smistad, Erik. (2023) Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study. Journal of the American Society of Echocardiography
    Academic article
  • Nyberg, John; Jakobsen, Even Olav; Østvik, Andreas; Holte, Espen; Stølen, Stian Bergseng; Løvstakken, Lasse. (2023) Echocardiographic Reference Ranges of Global Longitudinal Strain for All Cardiac Chambers Using Guideline-Directed Dedicated Views. JACC Cardiovascular Imaging
    Academic article
  • Salte, Ivar Mjåland; Østvik, Andreas; Olaisen, Sindre Hellum; Karlsen, Sigve; Dahlslett, Thomas; Smistad, Erik. (2023) Response to “Minimal Detectable Change and Reproducibility of Echocardiographic Strain: Implications for Clinical Practice”. Journal of the American Society of Echocardiography
    Reader opinion piece
  • Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Pettersen, Håkon Neergaard; Smistad, Erik; Østvik, Andreas; Olaisen, Sindre Hellum. (2023) Real-time guidance by deep learning of experienced operators to improve the standardization of echocardiographic acquisitions. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article
  • Olaisen, Sindre Hellum; Smistad, Erik; Espeland, Torvald; Hu, Jieyu; Pasdeloup, David Francis Pierre; Østvik, Andreas. (2023) Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases. European Heart Journal-Cardiovascular Imaging
    Academic article
  • Golfetto, Cristiana; Østvik, Andreas; Brandt, Martin Albertsen; Frutos, Javier Perez de; Bø, Lars Eirik; Grøtli, Esten Ingar. (2023) Roboter kan bidra til å avlaste et overbelastet helsevesen. Forskersonen.no
    Popular scientific article
  • Nyberg, John Anders Tomas; Jakobsen, Even Olav; Østvik, Andreas; Holte, Espen; Stølen, Stian; Løvstakken, Lasse. (2023) Determinants of left atrial reservoir strain in a large healthy population. European Heart Journal-Cardiovascular Imaging
    Abstract

2022

  • Smistad, Erik; Østvik, Andreas; Grue, Jahn Frederik; Dalen, Håvard; Løvstakken, Lasse. (2022) Tracking-based mitral annular plane systolic excursion (MAPSE) measurement using deep learning in B-mode ultrasound. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Chernyshov, Artem; Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse. (2022) Segmentation of 2D cardiac ultrasound with deep learning: simpler models for a simple task.
    Academic chapter/article/Conference paper
  • Pasdeloup, David Francis Pierre; Olaisen, Sindre Hellum; Østvik, Andreas; Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Holte, Espen. (2022) Real-Time Echocardiography Guidance for Optimized Apical Standard Views. Ultrasound in Medicine and Biology
    Academic article

2021

  • Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse. (2021) Annotation Web - An open-source web-based annotation tool for ultrasound images. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Østvik, Andreas; Smistad, Hovedveileder: Lasse Løvstakken Biveileder: Erik. (2021) Automatic analysis in echocardiography using machine learning. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Doctoral dissertation
  • Østvik, Andreas; Salte, Ivar Mjåland; Smistad, Erik; Nguyen, Thuy Mi; Melichova, Daniela; Brunvand, Harald. (2021) Myocardial Function Imaging in Echocardiography Using Deep Learning. IEEE Transactions on Medical Imaging
    Academic article
  • Muller, Sebastien; Abildsnes, Håkon Kvisle; Østvik, Andreas; Kragset, Oda; Gangås, Inger Sofie Hovd; Birke, Harriet. (2021) Can a Dinosaur Think? Implementation of Artificial Intelligence in Extracorporeal Shock Wave Lithotripsy. European Urology Open Science
    Academic article
  • Salte, Ivar M.; Østvik, Andreas; Smistad, Erik; Melichova, Daniela; Nguyen, Thuy Mi; Karlsen, Sigve. (2021) Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography. JACC Cardiovascular Imaging
    Academic article

2020

  • Smistad, Erik; Østvik, Andreas; Salte, Ivar Mjåland; Melichova, Daniela; Nguyen, Thuy Mi; Haugaa, Kristina. (2020) Real-Time Automatic Ejection Fraction and Foreshortening Detection Using Deep Learning. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
    Academic article
  • Leclerc, Sarah; Smistad, Erik; Østvik, Andreas; Cervenansky, Frederic; Espinosa, Florian; Espeland, Torvald. (2020) LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
    Academic article

2019

  • Smistad, Erik; Salte, Ivar Mjåland; Østvik, Andreas; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2019) Segmentation of apical long axis, four- and two-chamber views using deep neural networks. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Leclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Cervenansky, Frederic. (2019) RU-Net: A refining segmentation network for 2D echocardiography. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Smistad, Erik; Østvik, Andreas; Pedersen, André. (2019) High performance neural network inference, streaming, and visualization of medical images using FAST. IEEE Access
    Academic article
  • Leclerc, Sarah; Smistad, Erik; Pedrosa, Joao; Østvik, Andreas; Cervenansky, Frederic; Espinosa, Florian. (2019) Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Transactions on Medical Imaging
    Academic article

2018

  • Østvik, Andreas; Smistad, Erik; Espeland, Torvald; Berg, Erik Andreas Rye; Løvstakken, Lasse. (2018) Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Smistad, Erik; Østvik, Andreas; Salte, Ivar Mjåland; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2018) Fully automatic real-time ejection fraction and MAPSE measurements in 2D echocardiography using deep neural networks. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Dietrichson, Fabian Sødal; Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse. (2018) Ultrasound speckle reduction using generative adversial networks. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Østvik, Andreas; Smistad, Erik; Aase, Svein Arne; Haugen, Bjørn Olav; Løvstakken, Lasse. (2018) Real-time Standard View Classification in Transthoracic Echocardiography using Convolutional Neural Networks. Ultrasound in Medicine and Biology
    Academic article
  • Leclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Espinosa, Florian. (2018) Deep learning applied to multi-structure segmentation in 2D echocardiography: A preliminary investigation of the required database size. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Fiorito, Adrian Meidell; Østvik, Andreas; Smistad, Erik; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2018) Detection of Cardiac Events in Echocardiography using 3D Convolutional Recurrent Neural Networks. Proceedings - IEEE Ultrasonics Symposium
    Academic article

2017

  • Smistad, Erik; Østvik, Andreas; Haugen, Bjørn Olav; Løvstakken, Lasse. (2017) 2D left ventricle segmentation using deep learning. Proceedings - IEEE Ultrasonics Symposium
    Academic article

Journal publications

  • Tveten, Ingrid Elisabeth; Nyberg, John; Grue, Jahn Frederik; Helland, Ragnhild Holden; Melichova, Daniela; Nguyen, Thuy Mi. (2026) Deep learning segmentation and quantification of the left ventricle from the parasternal short axis view. European Heart Journal-Cardiovascular Imaging
    Abstract
  • Yttervoll, Ingrid; Østvik, Andreas; Aadahl, Petter; Mo, Rune; Grenne, Bjørnar Leangen; Kirkeby-Garstad, Idar. (2026) Non-invasive cardiac power measurements in decompensated heart failure in elderly adults: A prospective proof-of-concept study. Physiological Reports
    Academic article
  • Dalen, Havard; Østvik, Andreas; Grenne, Bjørnar. (2026) Unveiling the future: deep learning redefines strain analysis in paediatric cardiology. European Heart Journal
    Academic article
  • Azad, Md Abulkalam; Nyberg, John; Dalen, Håvard; Grenne, Bjørnar Leangen; Løvstakken, Lasse; Østvik, Andreas. (2025) Taming Modern Point Tracking for Speckle Tracking Echocardiography via Impartial Motion. IEEE International Conference on Computer Vision Workshop (ICCVW)
    Abstract
  • Yttervoll, Ingrid; Østvik, Andreas; Nyberg, John; Kirkeby-Garstad, Idar; Jakobsen, Even Olav; Aadahl, Petter. (2025) Echocardiographic Reference Ranges of Myocardial Work Indices from the HUNT4Echo Study. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article
  • Grenne, Bjørnar Leangen; Østvik, Andreas. (2025) Seeing the Invisible With Ultrasomics: Transforming Myocardial Tissue Characterization or Just Another Layer of Complexity?. JACC Cardiovascular Imaging
    Editorial
  • Woelfert, Ada; Mjølstad, Ole Christian; Dale, Ane Cecilie; Salvesen, Øyvind Olav; Lovstakken, Lasse; Dalen, Håvard. (2025) The impact of heart rate on echocardiographic measures of left ventricular function: Novel insights facilitated by deep learning. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article
  • Chernyshov, Artem; Nyberg, John Anders Tomas; Holmstrøm, Vegard; Azad, Md Abulkalam; Grenne, Bjørnar Leangen; Dalen, Håvard. (2025) Low Complexity Point Tracking of the Myocardium in 2D Echocardiography. IEEE Access
    Academic article
  • Tveten, Ingrid Elisabeth; Nyberg, John; Grue, Jahn Frederik; Helland, Ragnhild Holden; Melichova, Daniela; Nguyen, Thuy Mi. (2025) Deep Learning Segmentation and Quantification of the Left Ventricle from the Parasternal Short-Axis View in Echocardiography. Ultrasound in Medicine and Biology
    Academic article
  • Pettersen, Håkon; Sæbø, Sigbjørn; Pasdeloup, David; Smistad, Erik; Olaisen, Sindre Hellum; Østvik, Andreas. (2025) Real-time deep learning-based image guiding and automated left ventricular measurements to reduce test-retest variability. Open heart
    Academic article
  • Holmstrøm, Vegard; Smistad, Erik; Østvik, Andreas; Holte, Espen; Stølen, Stian Bergseng; Løvstakken, Lasse. (2025) Deep learning in echocardiography: real-time measurements of left ventricular wall thickness and chamber dimensions in the parasternal long-axis view. European Heart Journal-Cardiovascular Imaging
    Academic article
  • Melichova, Daniela; Nyberg, John; Nguyen, Thuy Mi; Salte, Ivar Mjåland; Brunvand, Harald; Haugaa, Kristina Ingrid Helena Hermann. (2025) Clinical validation of a novel fully automated measurement method for echocardiographic mechanical dispersion using deep learning. European Heart Journal-Cardiovascular Imaging
    Academic article
  • Holmstrøm, Vegard; Smistad, Erik; Grue, Jahn Frederik; Løvstakken, Lasse; Stølen, Stian Bergseng; Dalen, Håvard. (2025) Deep learning in echocardiography: Fully automated B-mode MAPSE measurements in real-time. European Heart Journal-Cardiovascular Imaging
    Academic article
  • Pasdeloup, David; Østvik, Andreas; Smistad, Erik; Nyberg, John; Jakobsen, Even Olav; Grenne, Bjørnar Leangen. (2025) Effect of apical foreshortening and transducer angulation on strain measurements: a quantitative investigation. European Heart Journal-Cardiovascular Imaging
    Abstract
  • Hu, Jieyu; Olaisen, Sindre Hellum; Pasdeloup, David; Vyver, Gilles van de; Østvik, Andreas; Holte, Espen. (2025) A deep learning-based pipeline for large-scale echocardiography data curation and measurements. The European Heart Journal – Digital Health (EHJ-DH)
    Academic article
  • Grenne, Bjørnar Leangen; Østvik, Andreas; Dalen, Håvard; Løvstakken, Lasse. (2025) One strain to rule them all? Inter-vendor variability in global longitudinal strain—progress made, challenges remain. European Heart Journal-Cardiovascular Imaging
    Editorial
  • Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Bøen, Gunn Catrin Fossum; Jakobsen, Even Olav; Langøy, Per Kristian Fahle; Nilsen, Hans Olav. (2025) Real-time guidance and automated measurements using deep learning to improve echocardiographic assessment of left ventricular size and function. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article
  • Holmstrøm, Vegard; Smistad, Erik; Stølen, Stian Bergseng; Holte, Espen; Løvstakken, Lasse; Dalen, Håvard. (2025) Real-Time Global Longitudinal Strain During Echocardiography: A Deep Learning Platform for Improved Workflow. Journal of the American Society of Echocardiography
    Academic article
  • Pasdeloup, David; Østvik, Andreas; Olaisen, Sindre Hellum; Skogvoll, Eirik; Dalen, Havard; Løvstakken, Lasse. (2025) Challenges and Strategies for Deep Learning in Cardiovascular Imaging. JACC Cardiovascular Imaging
    Academic article
  • Vyver, Gilles van de; Måsøy, Svein-Erik; Dalen, Håvard; Grenne, Bjørnar Leangen; Holte, Espen; Olaisen, Sindre Hellum. (2025) Regional Image Quality Scoring for 2-D Echocardiography Using Deep Learning. Ultrasound in Medicine and Biology
    Academic article
  • Sørensen, Kristian; Fadnes, Solveig; Mawad, Wadi; Henry, Matthew; Flade, Hans-Martin; Østvik, Andreas. (2025) Intraventricular Pressure Difference Estimation based on Blood Speckle Tracking - Invasive Validation and Early Clinical Application. European Heart Journal-Cardiovascular Imaging
    Academic article
  • Woelfert, Ada; Dale, Ane Cecilie; Mjølstad, Ole Christian; Løvstakken, Lasse; Dalen, Håvard; Østvik, Andreas. (2024) The importance of heart rate on left ventricular global longitudinal strain in echocardiography: novel insights facilitated by automated deep learning methods. European Heart Journal
    Abstract
  • Fermann, Benjamin Strandli; Nyberg, John; Remme, Espen; Grue, Jahn Frederik; Grue, Helén; Håland, Roger. (2024) Cardiac Valve Event Timing in Echocardiography Using Deep Learning and Triplane Recordings. IEEE Journal of Biomedical and Health Informatics
    Academic article
  • Chernyshov, Artem; Grue, Jahn Frederik; Nyberg, John; Grenne, Bjørnar Leangen; Dalen, Håvard; Aase, Svein Arne. (2024) Automated Segmentation and Quantification of the Right Ventricle in 2-D Echocardiography. Ultrasound in Medicine and Biology
    Academic article
  • Grenne, Bjørnar Leangen; Østvik, Andreas. (2024) Kunstig intelliges i ekkokardiografi: Vår nye superassistent?. Hjerteforum
    Academic article
  • Nyberg, John; Østvik, Andreas; Salte, Ivar Mjåland; Olaisen, Sindre Hellum; Karlsen, Sigve; Dahlslett, Thomas. (2024) Deep learning improves test–retest reproducibility of regional strain in echocardiography. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article
  • Grenne, Bjørnar Leangen; Østvik, Andreas. (2024) Beyond Years: Is Artificial Intelligence Ready to Predict Biological Age and Cardiovascular Risk Using Echocardiography?. Journal of the American Society of Echocardiography
    Editorial
  • Salte, Ivar Mjåland; Østvik, Andreas; Olaisen, Sindre Hellum; Karlsen, Sigve; Dahlslett, Thomas; Smistad, Erik. (2023) Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study. Journal of the American Society of Echocardiography
    Academic article
  • Nyberg, John; Jakobsen, Even Olav; Østvik, Andreas; Holte, Espen; Stølen, Stian Bergseng; Løvstakken, Lasse. (2023) Echocardiographic Reference Ranges of Global Longitudinal Strain for All Cardiac Chambers Using Guideline-Directed Dedicated Views. JACC Cardiovascular Imaging
    Academic article
  • Salte, Ivar Mjåland; Østvik, Andreas; Olaisen, Sindre Hellum; Karlsen, Sigve; Dahlslett, Thomas; Smistad, Erik. (2023) Response to “Minimal Detectable Change and Reproducibility of Echocardiographic Strain: Implications for Clinical Practice”. Journal of the American Society of Echocardiography
    Reader opinion piece
  • Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Pettersen, Håkon Neergaard; Smistad, Erik; Østvik, Andreas; Olaisen, Sindre Hellum. (2023) Real-time guidance by deep learning of experienced operators to improve the standardization of echocardiographic acquisitions. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
    Academic article
  • Olaisen, Sindre Hellum; Smistad, Erik; Espeland, Torvald; Hu, Jieyu; Pasdeloup, David Francis Pierre; Østvik, Andreas. (2023) Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases. European Heart Journal-Cardiovascular Imaging
    Academic article
  • Golfetto, Cristiana; Østvik, Andreas; Brandt, Martin Albertsen; Frutos, Javier Perez de; Bø, Lars Eirik; Grøtli, Esten Ingar. (2023) Roboter kan bidra til å avlaste et overbelastet helsevesen. Forskersonen.no
    Popular scientific article
  • Nyberg, John Anders Tomas; Jakobsen, Even Olav; Østvik, Andreas; Holte, Espen; Stølen, Stian; Løvstakken, Lasse. (2023) Determinants of left atrial reservoir strain in a large healthy population. European Heart Journal-Cardiovascular Imaging
    Abstract
  • Smistad, Erik; Østvik, Andreas; Grue, Jahn Frederik; Dalen, Håvard; Løvstakken, Lasse. (2022) Tracking-based mitral annular plane systolic excursion (MAPSE) measurement using deep learning in B-mode ultrasound. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Pasdeloup, David Francis Pierre; Olaisen, Sindre Hellum; Østvik, Andreas; Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Holte, Espen. (2022) Real-Time Echocardiography Guidance for Optimized Apical Standard Views. Ultrasound in Medicine and Biology
    Academic article
  • Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse. (2021) Annotation Web - An open-source web-based annotation tool for ultrasound images. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Østvik, Andreas; Salte, Ivar Mjåland; Smistad, Erik; Nguyen, Thuy Mi; Melichova, Daniela; Brunvand, Harald. (2021) Myocardial Function Imaging in Echocardiography Using Deep Learning. IEEE Transactions on Medical Imaging
    Academic article
  • Muller, Sebastien; Abildsnes, Håkon Kvisle; Østvik, Andreas; Kragset, Oda; Gangås, Inger Sofie Hovd; Birke, Harriet. (2021) Can a Dinosaur Think? Implementation of Artificial Intelligence in Extracorporeal Shock Wave Lithotripsy. European Urology Open Science
    Academic article
  • Salte, Ivar M.; Østvik, Andreas; Smistad, Erik; Melichova, Daniela; Nguyen, Thuy Mi; Karlsen, Sigve. (2021) Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography. JACC Cardiovascular Imaging
    Academic article
  • Smistad, Erik; Østvik, Andreas; Salte, Ivar Mjåland; Melichova, Daniela; Nguyen, Thuy Mi; Haugaa, Kristina. (2020) Real-Time Automatic Ejection Fraction and Foreshortening Detection Using Deep Learning. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
    Academic article
  • Leclerc, Sarah; Smistad, Erik; Østvik, Andreas; Cervenansky, Frederic; Espinosa, Florian; Espeland, Torvald. (2020) LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
    Academic article
  • Smistad, Erik; Salte, Ivar Mjåland; Østvik, Andreas; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2019) Segmentation of apical long axis, four- and two-chamber views using deep neural networks. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Leclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Cervenansky, Frederic. (2019) RU-Net: A refining segmentation network for 2D echocardiography. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Smistad, Erik; Østvik, Andreas; Pedersen, André. (2019) High performance neural network inference, streaming, and visualization of medical images using FAST. IEEE Access
    Academic article
  • Leclerc, Sarah; Smistad, Erik; Pedrosa, Joao; Østvik, Andreas; Cervenansky, Frederic; Espinosa, Florian. (2019) Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Transactions on Medical Imaging
    Academic article
  • Østvik, Andreas; Smistad, Erik; Espeland, Torvald; Berg, Erik Andreas Rye; Løvstakken, Lasse. (2018) Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Smistad, Erik; Østvik, Andreas; Salte, Ivar Mjåland; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2018) Fully automatic real-time ejection fraction and MAPSE measurements in 2D echocardiography using deep neural networks. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Dietrichson, Fabian Sødal; Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse. (2018) Ultrasound speckle reduction using generative adversial networks. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Østvik, Andreas; Smistad, Erik; Aase, Svein Arne; Haugen, Bjørn Olav; Løvstakken, Lasse. (2018) Real-time Standard View Classification in Transthoracic Echocardiography using Convolutional Neural Networks. Ultrasound in Medicine and Biology
    Academic article
  • Leclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Espinosa, Florian. (2018) Deep learning applied to multi-structure segmentation in 2D echocardiography: A preliminary investigation of the required database size. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Fiorito, Adrian Meidell; Østvik, Andreas; Smistad, Erik; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2018) Detection of Cardiac Events in Echocardiography using 3D Convolutional Recurrent Neural Networks. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Smistad, Erik; Østvik, Andreas; Haugen, Bjørn Olav; Løvstakken, Lasse. (2017) 2D left ventricle segmentation using deep learning. Proceedings - IEEE Ultrasonics Symposium
    Academic article

Part of book/report

  • Jakobsen, Even Olav; Østvik, Andreas; Pasdeloup, David; Smistad, Erik; Nyberg, John; Stølen, Stian Bergseng. (2025) Novel automated quality indicators for echocardiography and their importance for left ventricular strain.
    Other
  • Azad, Md Abulkalam; Chernyshov, Artem; Nyberg, John Anders Tomas; Tveten, Ingrid Elisabeth; Løvstakken, Lasse; Dalen, Håvard. (2024) EchoTracker: Advancing Myocardial Point Tracking in Echocardiography.
    Academic chapter/article/Conference paper
  • Chernyshov, Artem; Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse. (2022) Segmentation of 2D cardiac ultrasound with deep learning: simpler models for a simple task.
    Academic chapter/article/Conference paper

Report

  • Østvik, Andreas; Smistad, Hovedveileder: Lasse Løvstakken Biveileder: Erik. (2021) Automatic analysis in echocardiography using machine learning. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Doctoral dissertation

Outreach

2025

  • Interview
    Østvik, Andreas; Simonsen, Michael Chr. A. (2025) Trekkes frem som verdensledende. Dagens medisin Dagens medisin [Journal] 18.09.2025
  • Interview
    Østvik, Andreas; Simonsen, Michael Chr. A. (2025) Norsk KI-forskning trekkes frem som verdensledende. Dagens Medisin Dagens Medisin [Internet] 17.09.2025
  • Academic lecture
    Azad, Md Abulkalam; Østvik, Andreas. (2025) Speckle Tracking Echocardiography using Point Tracking: A Paradigm Shift?. Meeting on Myocardial Function Imaging 2025 , KU Leuven, Belgium 06.02.2025 - 07.02.2025

2024

  • Lecture
    Vyver, Gilles van de; Måsøy, Svein-Erik; Dalen, Håvard; Grenne, Bjørnar Leangen; Holte, Espen; Olaisen, Sindre Hellum. (2024) Regional quality estimation for echocardiography using deep learning. International Ultrasonics Symposium , Taipei, Taiwan 22.09.2024 - 26.09.2024
  • Poster
    Vyver, Gilles van de; Måsøy, Svein-Erik; Dalen, Håvard; Grenne, Bjørnar Leangen; Holte, Espen; Olaisen, Sindre Hellum. (2024) Regional quality estimation for echocardiography using deep LEARNING. 27th. International Conference On Medical Image Computing and computer Assisted Intervention , Marrakesh, Morocco 06.10.2024 - 10.10.2024
  • Academic lecture
    Pasdeloup, David Francis Pierre; Dalen, Håvard; Løvstakken, Lasse; Østvik, Andreas; Olaisen, Sindre Hellum. (2024) Challenges and Opportunities in end-to-end Dep Learning for Echocardiography. Leuven Meeting on Myocardial Function Imaging 08.02.2024 - 09.02.2024
  • Poster
    Holmstrøm, Vegard; Smistad, Erik; Nyberg, John; Østvik, Andreas; Holte, Espen; Løvstakken, Lasse. (2024) Deep Learning for Fully Automated Echocardiographic Measurements of Left Ventricular Wall Thickness and Chamber Dimensions in the Parasternal Long-Axis View. ESC Congress 2024 , London 30.08.2024 - 02.09.2024
  • Poster
    Tveten, Ingrid; Nyberg, John; Grue, Jahn Frederik; Grenne, Bjørnar; Dalen, Håvard; Løvstakken, Lasse. (2024) Myocardial contraction patterns in heart failure – opportunities for new diagnostic markers. Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2024 , Brekstad 18.09.2024 - 20.09.2024
  • Academic lecture
    Holmstrøm, Vegard; Smistad, Erik; Østvik, Andreas; Holte, Espen; Løvstakken, Lasse; Dalen, Håvard. (2024) Real-Time Analysis of Left Ventricular Global Longitudinal Strain Using Deep Learning. Leuven Meeting on Myocardial Function Imaging 2024 , Leuven 08.02.2024 - 09.02.2024
  • Poster
    Holmstrøm, Vegard; Smistad, Erik; Stølen, Stian Bergseng; Løvstakken, Lasse; Dalen, Håvard; Holte, Espen. (2024) Improving Time-Efficiency and Accuracy in Echocardiography: Real-Time Automated Measurements of Left Ventricular Global Longitudinal Strain using Deep Learning. ESC Congress 2024 , London 30.08.2024 - 02.09.2024
  • Poster
    Nyberg, John; Østvik, Andreas; Salte, Ivar Mjåland; Olaisen, Sindre Hellum; Karlsen, Sigve; Dahlslett, Thomas. (2024) Improved reproducibility of regional longitudinal strain in echocardiography by deep learning. ESC Congress 2024 30.08.2024 - 02.09.2024
  • Academic lecture
    Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Bøen, Gunn Catrin Fossum; Jakobsen, Even Olav; Langøy, Per Kristian Fahle; Nilsen, Hans Olav. (2024) The effect of deep learning guidance and automated measurements on the reproducibility of left ventricular ejection fraction and global longitudinal strain in breast cancer patients receiving trastuzumab. Kardiologisk Høstmøte , Oslo 24.10.2024 - 26.10.2024
  • Academic lecture
    Yttervoll, Ingrid; Østvik, Andreas; Aadahl, Petter; Mo, Rune; Grenne, Bjørnar Leangen; Kirkeby-Garstad, Idar. (2024) Echocardiographic estimation of cardiovascular energy transfer in patients with heart failure: an explorative study. EuroEcho Imaging 2024 , Berlin 11.12.2024 - 13.12.2024
  • Poster
    Holmstrøm, Vegard; Smistad, Erik; Østvik, Andreas; Holte, Espen; Stølen, Stian Bergseng; Løvstakken, Lasse. (2024) Deep learning in Echocardiography: Real-Time Measurements of Left Ventricular Wall Thickness and Chamber Dimensions in the Parasternal Long-Axis View. EuroEcho-Imaging , Berlin 11.12.2024 - 13.12.2024
  • Poster
    Holmstrøm, Vegard; Smistad, Erik; Grue, Jahn Frederik; Løvstakken, Lasse; Stølen, Stian Bergseng; Dalen, Håvard. (2024) Deep Learning in Echocardiography: Fully Automated B-Mode MAPSE measurements in Real-Time. EuroEcho-Imaging , Berlin 11.12.2024 - 13.12.2024
  • Interview
    Østvik, Andreas. (2024) Månedens prosjekt april 2024. Helse-midt.no Helse-midt.no [Internet] 25.04.2024
  • Poster
    Helland, Ragnhild Holden; Seljeflot, Eline Bragedatter; Kahrs, Birgitte Heiberg; Østvik, Andreas. (2024) Deep Learning for Automatic Segmentation of Trophoblast Tissue and Gestational Sac in Early Pregnancy 3D Ultrasound. PRESIMAL Autumn research school 2024 , Brekstad 18.09.2024 - 20.09.2024

2023

  • Interview
    Østvik, Andreas. (2023) Kunstig intelligens har blitt hjertelegens "superassistent". Gemini.no Gemini.no [Internet] 06.07.2023
  • Poster
    Nyberg, John; Jakobsen, Even Olav; Østvik, Andreas; Holte, Espen; Stølen, Stian; Løvstakken, Lasse. (2023) Determinants of left atrial reservoir strain in a large healthy population. EACVI 2023 , Barcelona 10.05.2023 - 12.05.2023
  • Poster
    Nyberg, John; Jakobsen, Even Olav; Østvik, Andreas; Holte, Espen; Stølen, Stian; Løvstakken, Lasse. (2023) Left atrial strain in a large healthy population. Nordic Cardiac Imaging , Stockholm 25.04.2023 - 26.04.2023
  • Academic lecture
    Tveten, Ingrid Elisabeth; Nyberg, John; Grue, Jahn Frederik; Dalen, Håvard; Løvstakken, Lasse; Grenne, Bjørnar Leangen. (2023) Deep Learning-Based Functional Measurements from Parasternal Short-Axis in Echocardiography are Related to Hypertension and Left Ventricle Ejection Fraction. Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2023 , Sommarøy 13.09.2023 - 15.09.2023
  • Academic lecture
    Sørensen, Kristian; Fadnes, Solveig; Flade, Hans-Martin; Kirkeby-Garstad, Idar; Østvik, Andreas; Henry, Matthew. (2023) Assessment of Diastolic Suction by Blood Speckle Tracking; Invasive Validation and Clinical Application. 8th World Congress of Pediatric Cardiology and Cardiac Surgery , Washington DC 27.08.2023 - 01.09.2023
  • Interview
    Våpenstad, Cecilie; Østvik, Andreas. (2023) Fastleger skal lære seg å bruke bærbart UL-apprat; hovedpulsåra dypt inne i kroppen til pasienten. NRK 1 Midtnytt NRK 1 Midtnytt [TV] 29.08.2023
  • Poster
    Sørensen, Kristian; Fadnes, Solveig; Flade, Hans-Martin; Kirkeby-Garstad, Idar; Østvik, Andreas; Henry, Matthew. (2023) Assessment of Diastolic Suction by Blood Speckle Tracking; Invasive Validation and Clinical Application. 8th World Congress of Pediatric Cardiology and Cardiac Surgery , Washington DC 27.08.2023 - 01.09.2023
  • Academic lecture
    Holmstrøm, Vegard; Smistad, Erik; Nyberg, John; Østvik, Andreas; Holte, Espen; Løvstakken, Lasse. (2023) Deep Learning for Automated Analyses in the PLAX View. Norsk Cardiologisk Selskap Kardiologisk høstmøte 2023 26.10.2023 - 28.10.2023
  • Academic lecture
    Pettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Smistad, Erik; Østvik, Andreas; Olaisen, Sindre Hellum. (2023) The Impact of Real-time Guiding by Deep Learning on Inter-operator Variability of Left Ventricular Function Measurements. Høstmøte, Norsk Cardiologisk Selskap , Scandic Fornebu, Martin Lingesvei 2,1364, Fornebu 26.10.2023 - 28.10.2023
  • Poster
    Pettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Olaisen, Sindre Hellum; Østvik, Andreas; Bøen, Gunn Catrin Fossum. (2023) The impact of real-time guiding by deep learning on test-retest variability of automated left ventricular systolic function measurements. EACVI , Barcelona 10.05.2023 - 12.05.2023
  • Academic lecture
    Pasdeloup, David Francis Pierre; Østvik, Andreas; Olaisen, Sindre Hellum; Skogvoll, Eirik; Dalen, Håvard; Løvstakken, Lasse. (2023) Automated measurements with AI: the gap between proof-of-concept and clinical use. Artimino Ultrasound Conference 11.06.2023 - 14.06.2023
  • Poster
    Olaisen, Sindre Hellum; Espeland, Torvald; Smistad, Erik; Hu, Jieyu; Pasdeloup, David Francis Pierre; Østvik, Andreas. (2023) Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence reduces time-consumption and inter-observer variability. EACVI , Barcelona 10.05.2023 - 12.05.2023
  • Poster
    Chernyshov, Artem; Grue, Jahn Frederik; Nyberg, John; Østvik, Andreas; Vyver, Gilles Van De; Smistad, Erik. (2023) Automated segmentation and quantification of the right ventricle in 2D echocardiography. IEEE International Ultrasonics Symposium 2023 , Montreal 03.09.2023 - 08.09.2023

2022

  • Academic lecture
    Smistad, Erik; Østvik, Andreas; Grue, Jahn Frederik; Dalen, Håvard; Løvstakken, Lasse. (2022) Tracking-based mitral annular plane systolic excursion (MAPSE) measurement using deep learning in B-mode ultrasound. IEEE International Ultrasonics Symposium 2022 10.10.2022 - 13.10.2022
  • Poster
    Chernyshov, Artem; Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse. (2022) Segmentation of 2D cardiac ultrasound with deep learning: simpler models for a simple task. IEEE IUS 2022 , Venice 10.10.2022 - 13.10.2022
  • Academic lecture
    Østvik, Andreas; Grenne, Bjørnar. (2022) Artificial intelligence for automatic measurements of left ventricular strain in echocardiography. Myocardial Function Imaging 2022 , Leuven 10.02.2022 - 12.02.2022
  • Academic lecture
    Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Østvik, Andreas; Pasdeloup, David Francis Pierre; Smistad, Erik; Stølen, Stian Bergseng. (2022) Automated analyses and real-time guiding by deep learning to reduce test-retest variability of global longitudinal strain. ESC 2022 , Barcelona 25.08.2022 - 29.08.2022
  • Academic lecture
    Sæbø, Sigbjørn; Pettersen, Håkon Neergaard; Østvik, Andreas; Smistad, Erik; Pasdeloup, David Francis Pierre; Grenne, Bjørnar. (2022) Automated analyses and real-time guiding by deep learning to reduce variability of global longitudinal strain. CIUS Fall Conference 2022 , Trondheim 09.11.2022 -
  • Academic lecture
    Olaisen, Sindre Hellum; Smistad, Erik; Østvik, Andreas; Hu, Jieyu; Pasdeloup, David Francis Pierre; Stylidis, Michael. (2022) Automatic calculation of left ventricular ejection fraction using artificial intelligence. Kardiologisk høstmøte 2022 , Fornebu, Oslo 27.10.2022 - 29.10.2022
  • Poster
    Fermann, Benjamin Strandli; Aase, Svein Arne; Nyberg, John; Grue, Jahn Frederik; Grenne, Bjørnar; Dalen, Håvard. (2022) Cardiac event detection in echocardiography using deep learning and triplane recordings. IEEE 2022 International Ultrasonics Symposium (IUS) , Venice 10.10.2022 - 13.10.2022
  • Poster
    Pasdeloup, David Francis Pierre; Sæbø, Sigbjørn; Olaisen, Sindre Hellum; Pettersen, Håkon Neergaard; Østvik, Andreas; Holte, Espen. (2022) Real-Time Echocardiography Guidance for Optimized Apical Standard Views. PRESIMAL Autumn Research School 14.09.2022 - 16.09.2022
  • Poster
    Pasdeloup, David Francis Pierre; Sæbø, Sigbjørn; Olaisen, Sindre Hellum; Pettersen, Håkon Neergaard; Østvik, Andreas; Holte, Espen. (2022) Real-Time Echocardiography Guidance for Optimized Apical Standard Views. IEEE International Ultrasound Symposium 10.10.2022 - 13.10.2022

2021

  • Academic lecture
    Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse. (2021) Annotation Web - An open-source web-based annotation tool for ultrasound images. IEEE International Ultrasonics Symposium 11.09.2021 - 16.09.2021
  • Academic lecture
    Smistad, Erik; Østvik, Andreas; Pedersen, Andrè. (2021) Deep learning in real-time ultrasound and digital pathology. Deep Learning Meet Up 22.10.2021 -
  • Academic lecture
    Pettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Stølen, Stian Bergseng. (2021) The impact of real-time feedback by deep learning during echocardiography on test-retest variability of left ventricular systolic function measurements. EuroEcho 2021 , Berlin 09.12.2021 - 11.12.2021
  • Academic lecture
    Pettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Stølen, Stian Bergseng. (2021) Impact of real-time feedback by deep learning during echocardiography on test-retest variability of left ventricular systolic function measurements. CIUS Fall Conference 2021 , Trondheim 07.12.2021 - 08.12.2021
  • Academic lecture
    Østvik, Andreas. (2021) Reinforcement learning in medical image analysis. PhD Trial lecture 15.06.2021 - 15.06.2021
  • Academic lecture
    Østvik, Andreas. (2021) Automatic analysis in echocardiography using machine learning. PhD Defence , Trondheim 15.06.2021 - 15.06.2021
  • Poster
    Pasdeloup, David Francis Pierre; Olaisen, Sindre Hellum; Østvik, Andreas; Holte, Espen; Grenne, Bjørnar; Sæbo, Sigbjørn. (2021) Real-time Image Guiding in Echocardiography using Deep Learning. International Ultrasound Symposium 11.09.2021 - 16.09.2021

2020

  • Poster
    Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse; Dalen, Håvard; Olaisen, Sindre Hellum. (2020) Automatic Apical Standard Views extraction from 3D ultrasound volumes using Deep Learning. Virtual IEEE IUS Symposium 06.09.2020 - 11.09.2020

2019

  • Academic lecture
    Løvstakken, Lasse; Østvik, Andreas; Smistad, Erik. (2019) Kunstig intelligens for en mer effektiv og treffsikker ekkokardiografi. Kardiologisk høstmøte 24.10.2019 - 26.10.2019
  • Academic lecture
    Leclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Cervenansky, Frederic. (2019) RU-Net: A Refining Segmentation Network for 2D Echocardiography. IEEE International Ultrasonics Symposium (IUS) , Glasgow 06.10.2019 - 09.10.2019
  • Academic lecture
    Østvik, Andreas; Bø, Lars Eirik; Smistad, Erik. (2019) EchoBot: An open-source robotic ultrasound system. IPCAI 2019 , Rennes 18.06.2019 - 19.06.2019
  • Poster
    Østvik, Andreas; Bø, Lars Eirik; Smistad, Erik. (2019) EchoBot: An open-source robotic ultrasound system. IPCAI 2019 , Rennes 18.06.2019 - 19.06.2019
  • Academic lecture
    Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse. (2019) Machine learning in Echocardiography​. Cardiac Imaging Day , Bergen 17.10.2019 - 18.10.2019
  • Poster
    Østvik, Andreas; Salte, Ivar Mjåland; Smistad, Erik; Løvstakken, Lasse. (2019) Adapting deep learning based motion estimation for myocardial function imaging. IEEE International Ultrasonics Symposium (IUS) , Glasgow 06.10.2019 - 09.10.2019
  • Academic lecture
    Løvstakken, Lasse; Østvik, Andreas; Smistad, Erik. (2019) Deep learning for automated anatomical and deformation measurements in echocardiography. Annual congress of the Belgian working group on non-invasive cardiac imaging , Brüssel 24.10.2019 - 26.10.2019
  • Academic lecture
    Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse. (2019) Retraining strategies for improved generalization of deep neural networks. IEEE International Ultrasonics symposium , Glasgow 06.10.2019 - 09.10.2019
  • Academic lecture
    Løvstakken, Lasse; Østvik, Andreas; Smistad, Erik. (2019) Deep learning for automated anatomical and deformation measurements in echocardiography. Leuven Meeting on Myocardial Function Imaging 07.02.2019 - 09.02.2019
  • Academic lecture
    Løvstakken, Lasse; Østvik, Andreas; Smistad, Erik. (2019) Machine learning for improved echocardiography. The Artimino Conference on Medical Ultrasound Technology , Nijmegen 23.06.2019 - 26.06.2019
  • Academic lecture
    Leclerc, Sarah; Smistad, Erik; Østvik, Andreas; Cervenansky, Frederic; Espinosa, Florian; Espeland, Torvald. (2019) Deep Learning Segmentation in 2D echocardiography using the CAMUS dataset : Automatic Assessment of the Anatomical Shape Validity. International Conference on Medical Imaging with Deep Learning , London 08.07.2019 - 10.07.2019
  • Academic lecture
    Smistad, Erik; Salte, Ivar Mjåland; Østvik, Andreas; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2019) Segmentation of apical long axis, four- and two-chamber views using deep neural networks. IEEE International Ultrasonics Symposium (IUS) , Glasgow 06.10.2019 - 10.10.2019

2018

  • Poster
    Østvik, Andreas; Smistad, Erik; Espeland, Torvald; Berg, Erik Andreas Rye; Løvstakken, Lasse. (2018) Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. MICCAI 2018, 4th Workshop on Deep Learning in Medical Image Analysis (DLMIA) , Granada 16.09.2018 - 20.09.2018
  • Academic lecture
    Smistad, Erik; Østvik, Andreas; Salte, Ivar Mjåland; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2018) Fully automatic real-time ejection fraction and MAPSE measurements in 2D echocardiography using deep neural networks. IEEE International Ultrasonics Symposium 2018 , Kobe 22.10.2018 - 25.10.2018
  • Academic lecture
    Dietrichson, Fabian Sødal; Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse. (2018) Ultrasound speckle reduction using generative adversial networks. IEEE International Ultrasonics Symposium 2018 , Kobe 22.10.2018 - 25.10.2018
  • Academic lecture
    Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse. (2018) Deep learning for ultrasound image classification and segmentation. Myocardial velocity and deformation imaging , Leuven 08.02.2018 - 09.02.2018
  • Academic lecture
    Østvik, Andreas; Smistad, Erik; Espeland, Torvald; Berg, Erik Andreas Rye; Løvstakken, Lasse. (2018) Automatic functional imaging in echocardiography using deep learning based segmentation and flow estimation. IEEE International Ultrasonics Symposium 2018 , Kobe 22.10.2018 - 25.10.2018
  • Academic lecture
    Løvstakken, Lasse; Østvik, Andreas; Smistad, Erik. (2018) Machine learning in echocardiography, can we trust it?. EuroEcho , Milano 05.12.2018 - 08.12.2018
  • Poster
    Fiorito, Adrian Meidell; Østvik, Andreas; Smistad, Erik; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2018) Detection of Cardiac Events in Echocardiography using 3D Convolutional Recurrent Neural Networks. IEEE International Ultrasonics Symposium 2018 , Kobe 22.10.2018 - 25.10.2018
  • Poster
    Leclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Espinosa, Florian. (2018) Deep learning applied to multi-structure segmentation in 2D echocardiography: A preliminary investigation of the required database size. IEEE International Ultrasonics Symposium 2018 , Kobe 22.10.2018 - 25.10.2018

2017

  • Poster
    Østvik, Andreas; Smistad, Erik; Aase, Svein Arne; Haugen, Bjørn Olav; Løvstakken, Lasse. (2017) Real-Time Classification of Standard Cardiac Views in Echocardiography using Neural Networks. IEEE International Ultrasonics Symposium , Washington DC 06.09.2017 - 09.09.2017
  • Lecture
    Giskeødegård, Guro F.; Bathen, Tone Frost; Sjøbakk, Torill Eidhammer; Grinde, Maria Tunset; Hill, Deborah Katherine; Madssen, Torfinn Støve. (2017) DE VERDIFULLE BILDENE. Forskningstorget 2017 , Trondheim 22.09.2017 - 23.09.2017
  • Poster
    Smistad, Erik; Østvik, Andreas; Haugen, Bjørn Olav; Løvstakken, Lasse. (2017) 2D Left ventricle segmentation using deep learning. International Ultrasonics Symposium (IUS) , Washington DC 06.09.2017 - 09.09.2017

2016

  • Lecture
    Sjøbakk, Torill Anita Eidhammer; Haukaas, Tonje Husby; Bathen, Tone Frost; Moestue, Siver Andreas; Selnæs, Kirsten Margrete; Øen, Silje Kjærnes. (2016) BILDER UTEN GRENSER. Forskningstorget 2016 , Trondheim 30.09.2016 - 01.10.2016

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