Andreas Østvik
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
Publications
2024
-
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
-
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
-
Fermann, Benjamin Strandli;
Nyberg, John;
Remme, Espen;
Grue, Jahn Frederik;
Grue, Helen;
Håland, Roger.
(2024)
Cardiac Valve Event Timing in Echocardiography Using Deep Learning and Triplane Recordings.
IEEE Journal of Biomedical and Health Informatics
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.
Springer
Academic chapter/article/Conference paper
-
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
2023
-
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
-
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
-
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
-
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
-
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
-
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
Letter to the editor
2022
-
Chernyshov, Artem;
Østvik, Andreas;
Smistad, Erik;
Løvstakken, Lasse.
(2022)
Segmentation of 2D cardiac ultrasound with deep learning: simpler models for a simple task.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
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
2021
-
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
-
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
-
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
-
Smistad, Erik;
Ãstvik, Andreas;
Løvstakken, Lasse.
(2021)
Annotation Web - An open-source web-based annotation tool for ultrasound images.
Proceedings - IEEE Ultrasonics Symposium
Academic article
-
Østvik, Andreas.
(2021)
Automatic analysis in echocardiography using machine learning
.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Doctoral dissertation
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
-
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
-
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;
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;
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
2018
-
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
-
Dietrichson, Fabian Sødal;
Smistad, Erik;
Østvik, Andreas;
Løvstakken, Lasse.
(2018)
Ultrasound speckle reduction using generative adversial networks.
Proceedings - IEEE Ultrasonics Symposium
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
-
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
-
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
-
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
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
-
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
-
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
-
Fermann, Benjamin Strandli;
Nyberg, John;
Remme, Espen;
Grue, Jahn Frederik;
Grue, Helen;
Håland, Roger.
(2024)
Cardiac Valve Event Timing in Echocardiography Using Deep Learning and Triplane Recordings.
IEEE Journal of Biomedical and Health Informatics
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
-
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
-
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
-
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
-
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
-
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
-
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
Letter to the editor
-
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
-
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
-
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
-
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
-
Smistad, Erik;
Ãstvik, Andreas;
Løvstakken, Lasse.
(2021)
Annotation Web - An open-source web-based annotation tool for ultrasound images.
Proceedings - IEEE Ultrasonics Symposium
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
-
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
-
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;
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;
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
-
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
-
Dietrichson, Fabian Sødal;
Smistad, Erik;
Østvik, Andreas;
Løvstakken, Lasse.
(2018)
Ultrasound speckle reduction using generative adversial networks.
Proceedings - IEEE Ultrasonics Symposium
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
-
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
-
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
-
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;
Haugen, Bjørn Olav;
Løvstakken, Lasse.
(2017)
2D left ventricle segmentation using deep learning.
Proceedings - IEEE Ultrasonics Symposium
Academic article
Part of book/report
-
Azad, Md Abulkalam;
Chernyshov, Artem;
Nyberg, John Anders Tomas;
Tveten, Ingrid Elisabeth;
Løvstakken, Lasse;
Dalen, Håvard.
(2024)
EchoTracker: Advancing Myocardial Point Tracking in Echocardiography.
Springer
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.
IEEE conference proceedings
Academic chapter/article/Conference paper
Report
-
Østvik, Andreas.
(2021)
Automatic analysis in echocardiography using machine learning
.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Doctoral dissertation
Outreach
2024
-
PosterHolmstrøm, 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. European Society of Cardiology ESC Congress 2024 , London 2024-08-30 - 2024-09-02
-
Academic lectureTveten, Ingrid; Nyberg, John; Grue, Jahn Frederik; Grenne, Bjørnar; Dalen, Håvard; Løvstakken, Lasse. (2024) Myocardial contraction patterns in heart failure – opportunities for new diagnostic markers. PRESIMAL, NORA Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2024 , Brekstad 2024-09-18 - 2024-09-20
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Academic lecturePasdeloup, 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 2024-02-08 - 2024-02-09
-
InterviewØstvik, Andreas. (2024) Månedens prosjekt april 2024. Helse-midt.no Helse-midt.no [Internet] 2024-04-25
-
Academic lectureHolmstrøm, Vegard; Smistad, Erik; Østvik, Andreas; Holte, Espen; Løvstakken, Lasse; Dalen, Håvard. (2024) Real-Time Analysis of Left Ventricular Global Longitudinal Strain Using Deep Learning. Katholieke Universiteit Leuven Leuven Meeting on Myocardial Function Imaging 2024 , Leuven 2024-02-08 - 2024-02-09
-
PosterHolmstrøm, 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. European Society of Cardiology ESC Congress 2024 , London 2024-08-30 - 2024-09-02
-
PosterHelland, 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, Mohn Medical Image and Visualization Centre (MMIV) PRESIMAL Autumn research school 2024 , Brekstad 2024-09-18 - 2024-09-20
-
PosterHolmstrøm, 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. European Society of Cardiology EuroEcho-Imaging , Berlin 2024-12-11 - 2024-12-13
-
PosterHolmstrøm, 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. European Society of Cardiology EuroEcho-Imaging , Berlin 2024-12-11 - 2024-12-13
-
Academic lectureSæbø, Sigbjørn; Pettersen, Håkon Neergaard; Bøen, Gunn Catrin Fossum; Jakobsen, Even Olav; Langøy, Per Kristian; 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. Norsk Cardiologisk Selskap Kardiologisk Høstmøte , Oslo 2024-10-24 - 2024-10-26
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Academic lectureYttervoll, 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. European Society of Cardiology EuroEcho Imaging 2024 , Berlin 2024-12-11 - 2024-12-13
-
Lecturevan de Vyver, Gilles; Måsøy, Svein-Erik; Dalen, Håvard; Grenne, Bjørnar Leangen; Holte, Espen; Olaisen, Sindre Hellum. (2024) Regional quality estimation for echocardiography using deep learning. IEEE International Ultrasonics Symposium , Taipei, Taiwan 2024-09-22 - 2024-09-26
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Postervan de Vyver, Gilles; Måsøy, Svein-Erik; Dalen, Håvard; Grenne, Bjørnar Leangen; Holte, Espen; Olaisen, Sindre Hellum. (2024) Regional quality estimation for echocardiography using deep LEARNING. MICCAI 2024 27th. International Conference On Medical Image Computing and computer Assisted Intervention , Marrakesh, Morocco 2024-10-06 - 2024-10-10
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PosterNyberg, 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 2024-08-30 - 2024-09-02
2023
-
InterviewØstvik, Andreas. (2023) Kunstig intelligens har blitt hjertelegens "superassistent". Gemini.no Gemini.no [Internet] 2023-07-06
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InterviewGolfetto, Cristiana; Østvik, Andreas; Brandt, Martin Albertsen; de frutos, Javier Pérez; Bø, Lars Eirik; Grøtli, Esten Ingar. (2023) Roboter kan bidra til å avlaste et overbelastet helsevesen. Forskersonen.no Forskersonen.no [Internet] 2023-07-11
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Academic lectureTveten, 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. PRESIMAL, NORA Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2023 , Sommarøy 2023-09-13 - 2023-09-15
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Academic lecturePasdeloup, 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 2023-06-11 - 2023-06-14
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PosterPettersen, 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 EACVI , Barcelona 2023-05-10 - 2023-05-12
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Academic lecturePettersen, 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. Norsk Cardiologisk Selskap, Den Norske Legeforening Høstmøte, Norsk Cardiologisk Selskap , Scandic Fornebu, Martin Lingesvei 2,1364, Fornebu 2023-10-26 - 2023-10-28
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Academic lectureHolmstrøm, 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 2023-10-26 - 2023-10-28
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PosterChernyshov, Artem; Grue, Jahn Frederik; Nyberg, John; Østvik, Andreas; Van De Vyver, Gilles; Smistad, Erik. (2023) Automated segmentation and quantification of the right ventricle in 2D echocardiography. IEEE IEEE International Ultrasonics Symposium 2023 , Montreal 2023-09-03 - 2023-09-08
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InterviewVåpenstad, 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] 2023-08-29
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Academic lectureSørensen, 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. WCPCCS 2023 8th World Congress of Pediatric Cardiology and Cardiac Surgery , Washington DC 2023-08-27 - 2023-09-01
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PosterSørensen, 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. WCPCCS 2023 8th World Congress of Pediatric Cardiology and Cardiac Surgery , Washington DC 2023-08-27 - 2023-09-01
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PosterNyberg, 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 2023-04-25 - 2023-04-26
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PosterNyberg, John; Jakobsen, Even Olav; Østvik, Andreas; Holte, Espen; Stølen, Stian; Løvstakken, Lasse. (2023) Determinants of left atrial reservoir strain in a large healthy population. European Society of Cardiology EACVI 2023 , Barcelona 2023-05-10 - 2023-05-12
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PosterOlaisen, 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 EACVI , Barcelona 2023-05-10 - 2023-05-12
2022
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PosterChernyshov, Artem; Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse. (2022) Segmentation of 2D cardiac ultrasound with deep learning: simpler models for a simple task. IEEE IEEE IUS 2022 , Venice 2022-10-10 - 2022-10-13
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Academic lectureOlaisen, 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. Norsk Cardiologisk Selskap Kardiologisk høstmøte 2022 , Fornebu, Oslo 2022-10-27 - 2022-10-29
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Academic lectureSæbø, 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 CIUS Fall Conference 2022 , Trondheim 2022-11-09 -
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Academic lectureSæbø, 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 2022-08-25 - 2022-08-29
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Academic lectureSmistad, 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 2022-10-10 - 2022-10-13
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PosterPasdeloup, 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 IEEE International Ultrasound Symposium 2022-10-10 - 2022-10-13
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Academic lectureØstvik, Andreas; Grenne, Bjørnar. (2022) Artificial intelligence for automatic measurements of left ventricular strain in echocardiography. Department of Cardiovascular Sciences, KU Leuven Myocardial Function Imaging 2022 , Leuven 2022-02-10 - 2022-02-12
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PosterPasdeloup, 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 2022-09-14 - 2022-09-16
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PosterFermann, 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. Institue of Electrical and Electronics Engineers (IEEE) IEEE 2022 International Ultrasonics Symposium (IUS) , Venice 2022-10-10 - 2022-10-13
2021
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Academic lectureSmistad, Erik; Ãstvik, Andreas; Løvstakken, Lasse. (2021) Annotation Web - An open-source web-based annotation tool for ultrasound images. IEEE IEEE International Ultrasonics Symposium 2021-09-11 - 2021-09-16
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PosterPasdeloup, David Francis Pierre; Olaisen, Sindre Hellum; Ãstvik, Andreas; Holte, Espen; Grenne, Bjørnar; Sæbo, Sigbjørn. (2021) Real-time Image Guiding in Echocardiography using Deep Learning. International Ultrasound Symposium 2021-09-11 - 2021-09-16
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Academic lectureSmistad, Erik; Ãstvik, Andreas; Pedersen, Andrè. (2021) Deep learning in real-time ultrasound and digital pathology. Oslo University Hospital Deep Learning Meet Up 2021-10-22 -
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Academic lecturePettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Stølen, Stian. (2021) The impact of real-time feedback by deep learning during echocardiography on test-retest variability of left ventricular systolic function measurements . European Society of Cardiology EuroEcho 2021 , Berlin 2021-12-09 - 2021-12-11
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Academic lecturePettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Stølen, Stian. (2021) Impact of real-time feedback by deep learning during echocardiography on test-retest variability of left ventricular systolic function measurements. Centre for Innovative Ultrasound Solutions CIUS Fall Conference 2021 , Trondheim 2021-12-07 - 2021-12-08
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Academic lectureØstvik, Andreas. (2021) Reinforcement learning in medical image analysis. PhD Trial lecture 2021-06-15 - 2021-06-15
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Academic lectureØstvik, Andreas. (2021) Automatic analysis in echocardiography using machine learning . PhD Defence , Trondheim 2021-06-15 - 2021-06-15
2020
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PosterPasdeloup, 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 2020-09-06 - 2020-09-11
2019
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Academic lectureLeclerc, 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 2019-10-06 - 2019-10-09
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PosterØstvik, Andreas; Salte, Ivar Mjåland; Smistad, Erik; Løvstakken, Lasse. (2019) Adapting deep learning based motion estimation for myocardial function imaging. IEEE IEEE International Ultrasonics Symposium (IUS) , Glasgow 2019-10-06 - 2019-10-09
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Academic lectureØstvik, Andreas; Smistad, Erik; Løvstakken, Lasse. (2019) Machine learning in Echocardiography. Haukeland universitetssjukehus Cardiac Imaging Day , Bergen 2019-10-17 - 2019-10-18
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Academic lectureLøvstakken, 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 2019-10-24 - 2019-10-26
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Academic lectureLøvstakken, Lasse; Østvik, Andreas; Smistad, Erik. (2019) Deep learning for automated anatomical and deformation measurements in echocardiography. Leuven Meeting on Myocardial Function Imaging 2019-02-07 - 2019-02-09
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Academic lectureLøvstakken, Lasse; Østvik, Andreas; Smistad, Erik. (2019) Machine learning for improved echocardiography. The Artimino Conference on Medical Ultrasound Technology , Nijmegen 2019-06-23 - 2019-06-26
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Academic lectureLeclerc, 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 2019-07-08 - 2019-07-10
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Academic lecturePasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse. (2019) Retraining strategies for improved generalization of deep neural networks. IEEE International Ultrasonics symposium , Glasgow 2019-10-06 - 2019-10-09
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Academic lectureLøvstakken, Lasse; Østvik, Andreas; Smistad, Erik. (2019) Kunstig intelligens for en mer effektiv og treffsikker ekkokardiografi. Kardiologisk høstmøte 2019-10-24 - 2019-10-26
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Academic lectureSmistad, 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 IEEE International Ultrasonics Symposium (IUS) , Glasgow 2019-10-06 - 2019-10-10
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Academic lectureØstvik, Andreas; Bø, Lars Eirik; Smistad, Erik. (2019) EchoBot: An open-source robotic ultrasound system. IPCAI 2019 , Rennes 2019-06-18 - 2019-06-19
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PosterØstvik, Andreas; Bø, Lars Eirik; Smistad, Erik. (2019) EchoBot: An open-source robotic ultrasound system. IPCAI 2019 , Rennes 2019-06-18 - 2019-06-19
2018
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Academic lectureLøvstakken, Lasse; Østvik, Andreas; Smistad, Erik. (2018) Machine learning in echocardiography, can we trust it?. EuroEcho , Milano 2018-12-05 - 2018-12-08
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Academic lectureSmistad, 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 IEEE International Ultrasonics Symposium 2018 , Kobe 2018-10-22 - 2018-10-25
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Academic lectureDietrichson, Fabian Sødal; Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse. (2018) Ultrasound speckle reduction using generative adversial networks. IEEE IEEE International Ultrasonics Symposium 2018 , Kobe 2018-10-22 - 2018-10-25
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PosterLeclerc, 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 UFFC IEEE International Ultrasonics Symposium 2018 , Kobe 2018-10-22 - 2018-10-25
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Academic lectureØstvik, 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 UFFC IEEE International Ultrasonics Symposium 2018 , Kobe 2018-10-22 - 2018-10-25
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PosterFiorito, 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 UFFC IEEE International Ultrasonics Symposium 2018 , Kobe 2018-10-22 - 2018-10-25
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PosterØstvik, 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 2018-09-16 - 2018-09-20
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Academic lectureØstvik, Andreas; Smistad, Erik; Løvstakken, Lasse. (2018) Deep learning for ultrasound image classification and segmentation. Myocardial velocity and deformation imaging , Leuven 2018-02-08 - 2018-02-09
2017
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Popular scientific lectureGiskeødegård, Guro F.; Bathen, Tone Frost; Sjøbakk, Torill Eidhammer; Grinde, Maria Tunset; Hill, Deborah Katherine; Madssen, Torfinn Støve. (2017) DE VERDIFULLE BILDENE. NTNU, Forskningsdagene Forskningstorget 2017 , Trondheim 2017-09-22 - 2017-09-23
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PosterØstvik, 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 2017-09-06 - 2017-09-09
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PosterSmistad, Erik; Østvik, Andreas; Haugen, Bjørn Olav; Løvstakken, Lasse. (2017) 2D Left ventricle segmentation using deep learning. International Ultrasonics Symposium (IUS) , Washington DC 2017-09-06 - 2017-09-09
2016
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Popular scientific lectureSjøbakk, Torill Anita Eidhammer; Haukaas, Tonje Husby; Bathen, Tone Frost; Moestue, Siver Andreas; Selnæs, Kirsten Margrete; Øen, Silje Kjærnes. (2016) BILDER UTEN GRENSER. NTNU, Forskningsdagene Forskningstorget 2016 , Trondheim 2016-09-30 - 2016-10-01