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
2024
-
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
Vitenskapelig artikkel
2023
-
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
Sammendrag/abstract
-
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
Brev til redaktøren
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2021
-
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
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
Østvik, Andreas.
(2021)
Automatic analysis in echocardiography using machine learning
.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Doktorgradsavhandling
-
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
Vitenskapelig artikkel
2020
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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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
2019
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Smistad, Erik;
Østvik, Andreas;
Pedersen, André.
(2019)
High performance neural network inference, streaming, and visualization of medical images using FAST.
IEEE Access
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
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
Vitenskapelig artikkel
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)
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
-
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
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
-
Dietrichson, Fabian Sødal;
Smistad, Erik;
Østvik, Andreas;
Løvstakken, Lasse.
(2018)
Ultrasound speckle reduction using generative adversial networks.
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
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
-
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
Vitenskapelig artikkel
-
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
Sammendrag/abstract
-
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
Brev til redaktøren
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
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
-
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
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
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
Smistad, Erik;
Østvik, Andreas;
Pedersen, André.
(2019)
High performance neural network inference, streaming, and visualization of medical images using FAST.
IEEE Access
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
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
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)
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
-
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
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
-
Dietrichson, Fabian Sødal;
Smistad, Erik;
Østvik, Andreas;
Løvstakken, Lasse.
(2018)
Ultrasound speckle reduction using generative adversial networks.
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
-
Smistad, Erik;
Østvik, Andreas;
Haugen, Bjørn Olav;
Løvstakken, Lasse.
(2017)
2D left ventricle segmentation using deep learning.
Proceedings - IEEE Ultrasonics Symposium
Vitenskapelig artikkel
Del av bok/rapport
-
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
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Rapport
-
Østvik, Andreas.
(2021)
Automatic analysis in echocardiography using machine learning
.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Doktorgradsavhandling
Formidling
2023
-
Vitenskapelig foredragSørensen, 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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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
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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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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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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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Vitenskapelig foredragHolmstrøm, 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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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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Vitenskapelig foredragPettersen, 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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Vitenskapelig foredragPasdeloup, 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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IntervjuGolfetto, 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 [Internett] 2023-07-11
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IntervjuVåpenstad, 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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Vitenskapelig foredragTveten, 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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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
-
IntervjuØstvik, Andreas. (2023) Kunstig intelligens har blitt hjertelegens "superassistent". Gemini.no Gemini.no [Internett] 2023-07-06
2022
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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
-
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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Vitenskapelig foredragSæbø, 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
-
Vitenskapelig foredragSæbø, 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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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 foredragOlaisen, 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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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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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
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Vitenskapelig foredragØstvik, 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
2021
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Vitenskapelig foredragSmistad, 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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Vitenskapelig foredragSmistad, 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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Vitenskapelig foredragPettersen, 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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Vitenskapelig foredragPettersen, 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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Vitenskapelig foredragØstvik, Andreas. (2021) Reinforcement learning in medical image analysis. PhD Trial lecture 2021-06-15 - 2021-06-15
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Vitenskapelig foredragØstvik, 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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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 foredragLeclerc, 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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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 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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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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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 IEEE International Ultrasonics Symposium (IUS) , Glasgow 2019-10-06 - 2019-10-10
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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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Vitenskapelig foredragØstvik, 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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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 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 foredragLeclerc, 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
2018
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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; Løvstakken, Lasse. (2018) Deep learning for ultrasound image classification and segmentation. Myocardial velocity and deformation imaging , Leuven 2018-02-08 - 2018-02-09
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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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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 UFFC IEEE International Ultrasonics Symposium 2018 , 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 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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Vitenskapelig foredragDietrichson, 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
2017
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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
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Populærvitenskapelig foredragGiskeødegård, 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
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. (2016) BILDER UTEN GRENSER. NTNU, Forskningsdagene Forskningstorget 2016 , Trondheim 2016-09-30 - 2016-10-01