Andreas Østvik
Om
Forsker ved institutt for sirkulasjon og bildediagnostikk finansiert av CIUS. Pågående prosjekter omhandler automatiske metoder for analyse av medisinske bilder ved hjelp av maskinlæring. Hovedapplikasjonen er hjerteavbildning med ultralyd, hvor målet er å utvikle gode diagnoseverktøy og forbedre arbeidsflyt i klinikken.
Forskningsinteresser
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Ultralyd, og andre medisinske avbildningsmodaliteter
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Kunstig intelligens, med vekt på maskinlæring og dype nevrale nettverk
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Robotikk og maskinsyn i medisinsk intervensjon
Bakgrunn
Utdannet sivilingeniør i fysikk og matematikk med spesialisering innenfor biofysikk og medisinsk teknologi. Masteroppgave innen tema robotkontroll i bildeveiledet intervensjon. Doktorgrad innen
automatisering av analyser i ekkokardiografi ved hjelp av maskinlæring.
Er også ansatt som forsker ved SINTEF Digital, avdeling Helse.
Kompetanseord
Publikasjoner
2023
-
Salte, Ivar Mjåland;
Østvik, Andreas;
Olaisen, Sindre Hellum;
Karlsen, Sigve;
Dahlslett, Thomas;
Smistad, Erik;
Eriksen-Volnes, Torfinn Kirknes;
Brunvand, Harald;
Haugaa, Kristina Ingrid Helena Hermann;
Edvardsen, Thor;
Dalen, Håvard;
Løvstakken, Lasse;
Grenne, Bjørnar Leangen.
(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.
Vitenskapelig artikkel
2022
-
Pasdeloup, David Francis Pierre;
Olaisen, Sindre Hellum;
Østvik, Andreas;
Sæbø, Sigbjørn;
Pettersen, Håkon Neergaard;
Holte, Espen;
Grenne, Bjørnar;
Stølen, Stian Bergseng;
Smistad, Erik;
Aase, Svein Arne;
Dalen, Håvard;
Løvstakken, Lasse.
(2022)
Real-Time Echocardiography Guidance for Optimized Apical Standard Views.
Ultrasound in Medicine and Biology.
volum 49 (1).
Vitenskapelig artikkel
-
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.
Vitenskapelig artikkel
2021
-
Muller, Sebastien;
Abildsnes, Håkon Kvisle;
Østvik, Andreas;
Kragset, Oda;
Gangås, Inger Sofie Hovd;
Birke, Harriet;
Langø, Thomas;
Arum, Carl-Jørgen.
(2021)
Can a Dinosaur Think? Implementation of Artificial Intelligence in Extracorporeal Shock Wave Lithotripsy.
European Urology Open Science.
volum 27.
Vitenskapelig artikkel
-
Salte, Ivar M.;
Østvik, Andreas;
Smistad, Erik;
Melichova, Daniela;
Nguyen, Thuy Mi;
Karlsen, Sigve;
Brunvand, Harald;
Haugaa, Kristina H.;
Edvardsen, Thor;
Løvstakken, Lasse;
Grenne, Bjørnar.
(2021)
Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography.
JACC Cardiovascular Imaging.
volum 14 (10).
Vitenskapelig artikkel
-
Smistad, Erik;
Ãstvik, Andreas;
Løvstakken, Lasse.
(2021)
Annotation Web - An open-source web-based annotation tool for ultrasound images.
Proceedings - IEEE Ultrasonics Symposium.
Vitenskapelig artikkel
-
Østvik, Andreas.
(2021)
Automatic analysis in echocardiography using machine learning.
Norges teknisk-naturvitenskapelige universitet. 2021. ISBN 978-82-326-5982-1.
Doktorgradsavhandling
-
Østvik, Andreas;
Salte, Ivar Mjåland;
Smistad, Erik;
Nguyen, Thuy Mi;
Melichova, Daniela;
Brunvand, Harald;
Haugaa, Kristina;
Edvardsen, Thor;
Grenne, Bjørnar;
Løvstakken, Lasse.
(2021)
Myocardial Function Imaging in Echocardiography Using Deep Learning.
IEEE Transactions on Medical Imaging.
volum 40 (5).
Vitenskapelig artikkel
2020
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Leclerc, Sarah;
Smistad, Erik;
Østvik, Andreas;
Cervenansky, Frederic;
Espinosa, Florian;
Espeland, Torvald;
Berg, Erik Andreas Rye;
Belhamissi, Mourad;
Israilov, Sardor;
Grenier, Thomas;
Lartizien, Carole;
Jodoin, Pierre-Marc;
Løvstakken, Lasse;
Bernard, Olivier.
(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.
volum 67 (12).
Vitenskapelig artikkel
-
Smistad, Erik;
Østvik, Andreas;
Salte, Ivar Mjåland;
Melichova, Daniela;
Nguyen, Thuy Mi;
Haugaa, Kristina;
Brunvand, Harald;
Edvardsen, Thor;
Leclerc, Sarah;
Bernard, Olivier;
Grenne, Bjørnar;
Løvstakken, Lasse.
(2020)
Real-Time Automatic Ejection Fraction and Foreshortening Detection Using Deep Learning.
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
volum 67 (12).
Vitenskapelig artikkel
2019
-
Leclerc, Sarah;
Smistad, Erik;
Grenier, Thomas;
Lartizien, Carole;
Østvik, Andreas;
Cervenansky, Frederic;
Espinosa, Florian;
Espeland, Torvald;
Berg, Erik Andreas Rye;
Jodoin, Pierre-Marc;
Løvstakken, Lasse;
Bernard, Olivier.
(2019)
RU-Net: A refining segmentation network for 2D echocardiography.
Proceedings - IEEE Ultrasonics Symposium.
volum 2019-October.
Vitenskapelig artikkel
-
Leclerc, Sarah;
Smistad, Erik;
Pedrosa, Joao;
Østvik, Andreas;
Cervenansky, Frederic;
Espinosa, Florian;
Espeland, Torvald;
Berg, Erik Andreas Rye;
Jodoin, Pierre-Marc;
Grenier, Thomas;
Lartizien, Carole;
D'Hooge, Jan R M;
Løvstakken, Lasse;
Bernard, Olivier.
(2019)
Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography.
IEEE Transactions on Medical Imaging.
volum 38 (9).
Vitenskapelig artikkel
-
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.
volum 2019-October.
Vitenskapelig artikkel
-
Smistad, Erik;
Østvik, Andreas;
Pedersen, André.
(2019)
High performance neural network inference, streaming, and visualization of medical images using FAST.
IEEE Access.
volum 7.
Vitenskapelig artikkel
2018
-
Dietrichson, Fabian Sødal;
Smistad, Erik;
Østvik, Andreas;
Løvstakken, Lasse.
(2018)
Ultrasound speckle reduction using generative adversial networks.
Proceedings - IEEE Ultrasonics Symposium.
volum 2018-October:8579764.
Vitenskapelig artikkel
-
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.
Vitenskapelig artikkel
-
Leclerc, Sarah;
Smistad, Erik;
Grenier, Thomas;
Lartizien, Carole;
Østvik, Andreas;
Espinosa, Florian;
Jodoin, Pierre-Marc;
Løvstakken, Lasse;
Bernard, Olivier.
(2018)
Deep learning applied to multi-structure segmentation in 2D echocardiography: A preliminary investigation of the required database size.
Proceedings - IEEE Ultrasonics Symposium.
Vitenskapelig artikkel
-
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.
Vitenskapelig artikkel
-
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.
Vitenskapelig artikkel
-
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).
volum 11045 LNCS.
Vitenskapelig artikkel
2017
-
Smistad, Erik;
Østvik, Andreas;
Haugen, Bjørn Olav;
Løvstakken, Lasse.
(2017)
2D left ventricle segmentation using deep learning.
Proceedings - IEEE Ultrasonics Symposium.
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
Salte, Ivar Mjåland;
Østvik, Andreas;
Olaisen, Sindre Hellum;
Karlsen, Sigve;
Dahlslett, Thomas;
Smistad, Erik;
Eriksen-Volnes, Torfinn Kirknes;
Brunvand, Harald;
Haugaa, Kristina Ingrid Helena Hermann;
Edvardsen, Thor;
Dalen, Håvard;
Løvstakken, Lasse;
Grenne, Bjørnar Leangen.
(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.
Vitenskapelig artikkel
-
Pasdeloup, David Francis Pierre;
Olaisen, Sindre Hellum;
Østvik, Andreas;
Sæbø, Sigbjørn;
Pettersen, Håkon Neergaard;
Holte, Espen;
Grenne, Bjørnar;
Stølen, Stian Bergseng;
Smistad, Erik;
Aase, Svein Arne;
Dalen, Håvard;
Løvstakken, Lasse.
(2022)
Real-Time Echocardiography Guidance for Optimized Apical Standard Views.
Ultrasound in Medicine and Biology.
volum 49 (1).
Vitenskapelig artikkel
-
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.
Vitenskapelig artikkel
-
Muller, Sebastien;
Abildsnes, Håkon Kvisle;
Østvik, Andreas;
Kragset, Oda;
Gangås, Inger Sofie Hovd;
Birke, Harriet;
Langø, Thomas;
Arum, Carl-Jørgen.
(2021)
Can a Dinosaur Think? Implementation of Artificial Intelligence in Extracorporeal Shock Wave Lithotripsy.
European Urology Open Science.
volum 27.
Vitenskapelig artikkel
-
Salte, Ivar M.;
Østvik, Andreas;
Smistad, Erik;
Melichova, Daniela;
Nguyen, Thuy Mi;
Karlsen, Sigve;
Brunvand, Harald;
Haugaa, Kristina H.;
Edvardsen, Thor;
Løvstakken, Lasse;
Grenne, Bjørnar.
(2021)
Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography.
JACC Cardiovascular Imaging.
volum 14 (10).
Vitenskapelig artikkel
-
Smistad, Erik;
Ãstvik, Andreas;
Løvstakken, Lasse.
(2021)
Annotation Web - An open-source web-based annotation tool for ultrasound images.
Proceedings - IEEE Ultrasonics Symposium.
Vitenskapelig artikkel
-
Østvik, Andreas;
Salte, Ivar Mjåland;
Smistad, Erik;
Nguyen, Thuy Mi;
Melichova, Daniela;
Brunvand, Harald;
Haugaa, Kristina;
Edvardsen, Thor;
Grenne, Bjørnar;
Løvstakken, Lasse.
(2021)
Myocardial Function Imaging in Echocardiography Using Deep Learning.
IEEE Transactions on Medical Imaging.
volum 40 (5).
Vitenskapelig artikkel
-
Leclerc, Sarah;
Smistad, Erik;
Østvik, Andreas;
Cervenansky, Frederic;
Espinosa, Florian;
Espeland, Torvald;
Berg, Erik Andreas Rye;
Belhamissi, Mourad;
Israilov, Sardor;
Grenier, Thomas;
Lartizien, Carole;
Jodoin, Pierre-Marc;
Løvstakken, Lasse;
Bernard, Olivier.
(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.
volum 67 (12).
Vitenskapelig artikkel
-
Smistad, Erik;
Østvik, Andreas;
Salte, Ivar Mjåland;
Melichova, Daniela;
Nguyen, Thuy Mi;
Haugaa, Kristina;
Brunvand, Harald;
Edvardsen, Thor;
Leclerc, Sarah;
Bernard, Olivier;
Grenne, Bjørnar;
Løvstakken, Lasse.
(2020)
Real-Time Automatic Ejection Fraction and Foreshortening Detection Using Deep Learning.
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
volum 67 (12).
Vitenskapelig artikkel
-
Leclerc, Sarah;
Smistad, Erik;
Grenier, Thomas;
Lartizien, Carole;
Østvik, Andreas;
Cervenansky, Frederic;
Espinosa, Florian;
Espeland, Torvald;
Berg, Erik Andreas Rye;
Jodoin, Pierre-Marc;
Løvstakken, Lasse;
Bernard, Olivier.
(2019)
RU-Net: A refining segmentation network for 2D echocardiography.
Proceedings - IEEE Ultrasonics Symposium.
volum 2019-October.
Vitenskapelig artikkel
-
Leclerc, Sarah;
Smistad, Erik;
Pedrosa, Joao;
Østvik, Andreas;
Cervenansky, Frederic;
Espinosa, Florian;
Espeland, Torvald;
Berg, Erik Andreas Rye;
Jodoin, Pierre-Marc;
Grenier, Thomas;
Lartizien, Carole;
D'Hooge, Jan R M;
Løvstakken, Lasse;
Bernard, Olivier.
(2019)
Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography.
IEEE Transactions on Medical Imaging.
volum 38 (9).
Vitenskapelig artikkel
-
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.
volum 2019-October.
Vitenskapelig artikkel
-
Smistad, Erik;
Østvik, Andreas;
Pedersen, André.
(2019)
High performance neural network inference, streaming, and visualization of medical images using FAST.
IEEE Access.
volum 7.
Vitenskapelig artikkel
-
Dietrichson, Fabian Sødal;
Smistad, Erik;
Østvik, Andreas;
Løvstakken, Lasse.
(2018)
Ultrasound speckle reduction using generative adversial networks.
Proceedings - IEEE Ultrasonics Symposium.
volum 2018-October:8579764.
Vitenskapelig artikkel
-
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.
Vitenskapelig artikkel
-
Leclerc, Sarah;
Smistad, Erik;
Grenier, Thomas;
Lartizien, Carole;
Østvik, Andreas;
Espinosa, Florian;
Jodoin, Pierre-Marc;
Løvstakken, Lasse;
Bernard, Olivier.
(2018)
Deep learning applied to multi-structure segmentation in 2D echocardiography: A preliminary investigation of the required database size.
Proceedings - IEEE Ultrasonics Symposium.
Vitenskapelig artikkel
-
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.
Vitenskapelig artikkel
-
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.
Vitenskapelig artikkel
-
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).
volum 11045 LNCS.
Vitenskapelig artikkel
-
Smistad, Erik;
Østvik, Andreas;
Haugen, Bjørn Olav;
Løvstakken, Lasse.
(2017)
2D left ventricle segmentation using deep learning.
Proceedings - IEEE Ultrasonics Symposium.
Vitenskapelig artikkel
Rapport
-
Østvik, Andreas.
(2021)
Automatic analysis in echocardiography using machine learning.
Norges teknisk-naturvitenskapelige universitet. 2021. ISBN 978-82-326-5982-1.
Doktorgradsavhandling
Formidling
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 IUS 2022 . IEEE; Venice. 2022-10-10 - 2022-10-13.
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PosterFermann, Benjamin Strandli; Aase, Svein Arne; Nyberg, John; Grue, Jahn Frederik; Grenne, Bjørnar; Dalen, Håvard; Remme, Espen; Løvstakken, Lasse; Østvik, Andreas. (2022) Cardiac event detection in echocardiography using deep learning and triplane recordings. IEEE 2022 International Ultrasonics Symposium (IUS) . Institue of Electrical and Electronics Engineers (IEEE); Venice. 2022-10-10 - 2022-10-13.
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Vitenskapelig foredragOlaisen, Sindre Hellum; Smistad, Erik; Østvik, Andreas; Hu, Jieyu; Pasdeloup, David Francis Pierre; Stylidis, Michael; Rosner, Assami; Grenne, Bjørnar; Holte, Espen; Løvstakken, Lasse; Dalen, Håvard. (2022) Automatic calculation of left ventricular ejection fraction using artificial intelligence. Kardiologisk høstmøte 2022 . Norsk Cardiologisk Selskap; Fornebu, Oslo. 2022-10-27 - 2022-10-29.
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PosterPasdeloup, David Francis Pierre; Sæbø, Sigbjørn; Olaisen, Sindre Hellum; Pettersen, Håkon Neergaard; Østvik, Andreas; Holte, Espen; Grenne, Bjørnar; Stølen, Stian Bergseng; Smistad, Erik; Dalen, Håvard; Løvstakken, Lasse. (2022) Real-Time Echocardiography Guidance for Optimized Apical Standard Views. IEEE International Ultrasound Symposium . IEEE; 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; Grenne, Bjørnar; Stølen, Stian Bergseng; Smistad, Erik; Dalen, Håvard; Løvstakken, Lasse. (2022) Real-Time Echocardiography Guidance for Optimized Apical Standard Views. PRESIMAL Autumn Research School ; 2022-09-14 - 2022-09-16.
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Vitenskapelig foredragSmistad, 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.
-
Vitenskapelig foredragSæbø, Sigbjørn; Pettersen, Håkon Neergaard; Østvik, Andreas; Pasdeloup, David Francis Pierre; Smistad, Erik; Stølen, Stian Bergseng; Grenne, Bjørnar; Løvstakken, Lasse; Holte, Espen; Dalen, Håvard. (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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Vitenskapelig foredragSæbø, Sigbjørn; Pettersen, Håkon Neergaard; Østvik, Andreas; Smistad, Erik; Pasdeloup, David Francis Pierre; Grenne, Bjørnar; Stølen, Stian Bergseng; Løvstakken, Lasse; Holte, Espen; Dalen, Håvard. (2022) Automated analyses and real-time guiding by deep learning to reduce variability of global longitudinal strain. CIUS Fall Conference 2022 . CIUS; Trondheim. 2022-11-09.
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Vitenskapelig foredragØstvik, Andreas; Grenne, Bjørnar. (2022) Artificial intelligence for automatic measurements of left ventricular strain in echocardiography. Myocardial Function Imaging 2022 . Department of Cardiovascular Sciences, KU Leuven; Leuven. 2022-02-10 - 2022-02-12.
2021
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PosterPasdeloup, David Francis Pierre; Olaisen, Sindre Hellum; Ãstvik, Andreas; Holte, Espen; Grenne, Bjørnar; Sæbo, Sigbjørn; Smistad, Erik; Dalen, Håvard; Løvstakken, Lasse. (2021) Real-time Image Guiding in Echocardiography using Deep Learning. International Ultrasound Symposium ; 2021-09-11 - 2021-09-16.
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Vitenskapelig foredragPettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Stølen, Stian; Grenne, Bjørnar; Løvstakken, Lasse; Dalen, Håvard; Holte, Espen. (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 . Centre for Innovative Ultrasound Solutions; Trondheim. 2021-12-07 - 2021-12-08.
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Vitenskapelig foredragPettersen, Håkon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Stølen, Stian; Grenne, Bjørnar; Løvstakken, Lasse; Dalen, Håvard; Holte, Espen. (2021) The impact of real-time feedback by deep learning during echocardiography on test-retest variability of left ventricular systolic function measurements. EuroEcho 2021 . European Society of Cardiology; Berlin. 2021-12-09 - 2021-12-11.
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Vitenskapelig foredragSmistad, Erik; Ãstvik, Andreas; Løvstakken, Lasse. (2021) Annotation Web - An open-source web-based annotation tool for ultrasound images. IEEE International Ultrasonics Symposium . IEEE; 2021-09-11 - 2021-09-16.
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Vitenskapelig foredragSmistad, Erik; Ãstvik, Andreas; Pedersen, Andrè. (2021) Deep learning in real-time ultrasound and digital pathology. Deep Learning Meet Up . Oslo University Hospital; 2021-10-22.
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Vitenskapelig foredragØstvik, Andreas. (2021) Automatic analysis in echocardiography using machine learning. PhD Defence ; Trondheim. 2021-06-15 - 2021-06-15.
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Vitenskapelig foredragØstvik, Andreas. (2021) Reinforcement learning in medical image analysis. PhD Trial lecture ; 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; Grønli, Thomas. (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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Vitenskapelig foredragLeclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Cervenansky, Frederic; Espinosa, Florian; Espeland, Torvald; Berg, Erik Andreas Rye; Jodoin, Pierre-Marc; Løvstakken, Lasse; Bernard, Olivier. (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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Vitenskapelig foredragLeclerc, Sarah; Smistad, Erik; Østvik, Andreas; Cervenansky, Frederic; Espinosa, Florian; Espeland, Torvald; Berg, Erik Andreas Rye; Jodoin, Pierre-Marc; Grenier, Thomas; Lartizien, Carole; Løvstakken, Lasse; Bernard, Olivier. (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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Vitenskapelig foredragLøvstakken, 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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Vitenskapelig foredragLøvstakken, 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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Vitenskapelig foredragLøvstakken, 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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Vitenskapelig foredragLøvstakken, 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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Vitenskapelig foredragPasdeloup, 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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Vitenskapelig foredragSmistad, 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) . IEEE; Glasgow. 2019-10-06 - 2019-10-10.
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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.
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Vitenskapelig foredragØstvik, 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; Salte, Ivar Mjåland; Smistad, Erik; Løvstakken, Lasse. (2019) Adapting deep learning based motion estimation for myocardial function imaging. IEEE International Ultrasonics Symposium (IUS) . IEEE; Glasgow. 2019-10-06 - 2019-10-09.
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Vitenskapelig foredragØstvik, Andreas; Smistad, Erik; Løvstakken, Lasse. (2019) Machine learning in Echocardiography. Cardiac Imaging Day . Haukeland universitetssjukehus; Bergen. 2019-10-17 - 2019-10-18.
2018
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Vitenskapelig foredragDietrichson, Fabian Sødal; Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse. (2018) Ultrasound speckle reduction using generative adversial networks. IEEE International Ultrasonics Symposium 2018 . IEEE; 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 International Ultrasonics Symposium 2018 . IEEE UFFC; Kobe. 2018-10-22 - 2018-10-25.
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PosterLeclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Espinosa, Florian; Jodoin, Pierre-Marc; Løvstakken, Lasse; Bernard, Olivier. (2018) Deep learning applied to multi-structure segmentation in 2D echocardiography: A preliminary investigation of the required database size. IEEE International Ultrasonics Symposium 2018 . IEEE UFFC; Kobe. 2018-10-22 - 2018-10-25.
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Vitenskapelig foredragLøvstakken, 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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Vitenskapelig foredragSmistad, 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 . IEEE; 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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Vitenskapelig foredragØstvik, 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 . IEEE UFFC; Kobe. 2018-10-22 - 2018-10-25.
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Vitenskapelig foredragØstvik, 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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Populærvitenskapelig foredragGiskeødegård, Guro F.; Bathen, Tone Frost; Sjøbakk, Torill Eidhammer; Grinde, Maria Tunset; Hill, Deborah Katherine; Madssen, Torfinn Støve; Billdal, Daniel Chen; Andreassen, Maren Marie Sjaastad; Berger, Hester Rijkje; Andreassen, Trygve; Sunoqrot, Mohammed; Rise, Henning Hoel; Avdal, Jørgen; Fatemi, Ali; Torp, Hans; Saxhaug, Lars Mølgaard; Rodriguez-Molares, Alfonso; Grønli, Thomas; Smistad, Erik. (2017) DE VERDIFULLE BILDENE. Forskningstorget 2017 . NTNU, Forskningsdagene; Trondheim. 2017-09-22 - 2017-09-23.
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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.
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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.
2016
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Populærvitenskapelig foredragSjøbakk, Torill Anita Eidhammer; Haukaas, Tonje Husby; Bathen, Tone Frost; Moestue, Siver Andreas; Selnæs, Kirsten Margrete; Øen, Silje Kjærnes; Giskeødegård, Guro F.; Sandsmark, Elise; Grinde, Maria Tunset; Hill, Deborah Katherine; Euceda, Leslie R.; Andersen, Maria Karoline; Kim, Eugene; Cebulla, Jana; Esmaeili, Morteza; Stensjøen, Anne Line; Williamson, Kari; Ekroll, Ingvild Kinn; Wigen, Morten Smedsrud. (2016) BILDER UTEN GRENSER. Forskningstorget 2016 . NTNU, Forskningsdagene; Trondheim. 2016-09-30 - 2016-10-01.