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2020
1 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.
Real-Time Automatic Ejection Fraction and Foreshortening Detection Using Deep Learning. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 2020
NTNU SSHF UiO Untitled
 
2019
2 Ekroll, Ingvild Kinn; Avdal, Jørgen; Viggen, Erlend Magnus; Søyland, Annichen; David, Pasdeloup; Smistad, Erik.
Prøv maskinlæringsspillet og se hjertet med ultralyd <3. Ungdommens forskernatt; 2019-09-27
NTNU Untitled
 
3 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.
RU-Net: A Refining Segmentation Network for 2D Echocardiography. IEEE International Ultrasonics Symposium (IUS); 2019-10-06 - 2019-10-09
NTNU Untitled
 
4 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.
RU-Net: A refining segmentation network for 2D echocardiography. Proceedings - IEEE Ultrasonics Symposium 2019 ;Volum 2019-October. s. 1160-1163
NTNU STO Untitled
 
5 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.
Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Transactions on Medical Imaging 2019 ;Volum 38.(9) s. 2198-2210
NTNU STO Untitled
 
6 Leclerc, 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.
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; 2019-07-08 - 2019-07-10
NTNU Untitled
 
7 Løvstakken, Lasse; Østvik, Andreas; Smistad, Erik.
Deep learning for automated anatomical and deformation measurements in echocardiography. Annual congress of the Belgian working group on non-invasive cardiac imaging; 2019-10-24 - 2019-10-26
NTNU Untitled
 
8 Løvstakken, Lasse; Østvik, Andreas; Smistad, Erik.
Deep learning for automated anatomical and deformation measurements in echocardiography. Leuven Meeting on Myocardial Function Imaging; 2019-02-07 - 2019-02-09
NTNU Untitled
 
9 Løvstakken, Lasse; Østvik, Andreas; Smistad, Erik.
Kunstig intelligens for en mer effektiv og treffsikker ekkokardiografi. Kardiologisk høstmøte; 2019-10-24 - 2019-10-26
NTNU Untitled
 
10 Løvstakken, Lasse; Østvik, Andreas; Smistad, Erik.
Machine learning for improved echocardiography. The Artimino Conference on Medical Ultrasound Technology; 2019-06-23 - 2019-06-26
NTNU Untitled
 
11 Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse.
Retraining strategies for improved generalization of deep neural networks. IEEE International Ultrasonics symposium; 2019-10-06 - 2019-10-09
NTNU Untitled
 
12 Smistad, Erik.
Kunstig intelligens i medisinsk bildediagnostikk - muligheter og utfordringer. HEMIT konferansen 2019; 2019-08-19
NTNU Untitled
 
13 Smistad, Erik.
Machine learning and artificial intelligence in medical imaging. Forelesning for NTNU IKOM; 2019-03-04
NTNU Untitled
 
14 Smistad, Erik.
Machine learning in medical imaging. SINTEF Digital Kick off; 2019-01-30
NTNU Untitled
 
15 Smistad, Erik.
Maskiner ser nå bedre enn de beste av oss. Aftenposten [Avis] 2019-11-29
NTNU Untitled
 
16 Smistad, Erik.
Maskinlæring i ultralyd. Ultralydsymposium; 2019-04-03 - 2019-04-05
NTNU Untitled
 
17 Smistad, Erik.
Maskinlæring og kunstig intelligens i medisinsk bildeanalyse. Årsmøte den norske patologforening; 2019-03-07
NTNU Untitled
 
18 Smistad, Erik; Salte, Ivar Mjåland; Østvik, Andreas; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse.
Segmentation of apical long axis, four- and two-chamber views using deep neural networks. IEEE International Ultrasonics Symposium (IUS); 2019-10-06 - 2019-10-10
NTNU Untitled
 
19 Smistad, Erik; Salte, Ivar Mjåland; Østvik, Andreas; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse.
Segmentation of apical long axis, four- and two-chamber views using deep neural networks. Proceedings - IEEE Ultrasonics Symposium 2019 ;Volum 2019-October. s. 8-11
NTNU SINTEF SSHF Untitled
 
20 Smistad, Erik; Østvik, Andreas; Pedersen, André.
High performance neural network inference, streaming, and visualization of medical images using FAST. IEEE Access 2019 ;Volum 7. s. 136310-136321
NTNU SINTEF Untitled
 
21 Østvik, Andreas; Bø, Lars Eirik; Smistad, Erik.
EchoBot: An open-source robotic ultrasound system. IPCAI 2019; 2019-06-18 - 2019-06-19
NTNU SINTEF Untitled
 
22 Østvik, Andreas; Bø, Lars Eirik; Smistad, Erik.
EchoBot: An open-source robotic ultrasound system. IPCAI 2019; 2019-06-18 - 2019-06-19
NTNU SINTEF Untitled
 
23 Østvik, Andreas; Salte, Ivar Mjåland; Smistad, Erik; Løvstakken, Lasse.
Adapting deep learning based motion estimation for myocardial function imaging. IEEE International Ultrasonics Symposium (IUS); 2019-10-06 - 2019-10-09
NTNU Untitled
 
24 Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse.
Machine learning in Echocardiography​. Cardiac Imaging Day; 2019-10-17 - 2019-10-18
NTNU SINTEF Untitled
 
2018
25 Dietrichson, Fabian Sødal; Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse.
Ultrasound speckle reduction using generative adversial networks. Proceedings - IEEE Ultrasonics Symposium 2018 ;Volum 2018-October:8579764. s. -
NTNU SINTEF Untitled
 
26 Dietrichson, Fabian Sødal; Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse.
Ultrasound speckle reduction using generative adversial networks. IEEE International Ultrasonics Symposium 2018; 2018-10-22 - 2018-10-25
NTNU Untitled
 
27 Ekroll, Ingvild Kinn; Avdal, Jørgen; Fatemi, Ali; Halvorsrød, Marlene Iversen; Fiorentini, Stefano; Viggen, Erlend Magnus; Smistad, Erik.
Se hjertet ditt med ultralyd. Ungdommens forskernatt; 2018-09-28 - 2018-09-28
NTNU Untitled
 
28 Fiorito, Adrian Meidell; Østvik, Andreas; Smistad, Erik; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse.
Detection of Cardiac Events in Echocardiography using 3D Convolutional Recurrent Neural Networks. IEEE International Ultrasonics Symposium 2018; 2018-10-22 - 2018-10-25
NTNU Untitled
 
29 Fiorito, Adrian Meidell; Østvik, Andreas; Smistad, Erik; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse.
Detection of Cardiac Events in Echocardiography using 3D Convolutional Recurrent Neural Networks. Proceedings - IEEE Ultrasonics Symposium 2018 s. -
NTNU Untitled
 
30 Leclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Espinosa, Florian; Jodoin, Pierre-Marc; Løvstakken, Lasse; Bernard, Olivier.
Deep learning applied to multi-structure segmentation in 2D echocardiography: A preliminary investigation of the required database size. IEEE International Ultrasonics Symposium 2018; 2018-10-22 - 2018-10-25
NTNU Untitled
 
31 Leclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Espinosa, Florian; Jodoin, Pierre-Marc; Løvstakken, Lasse; Bernard, Olivier.
Deep learning applied to multi-structure segmentation in 2D echocardiography: A preliminary investigation of the required database size. Proceedings - IEEE Ultrasonics Symposium 2018 s. -
NTNU Untitled
 
32 Løvstakken, Lasse; Østvik, Andreas; Smistad, Erik.
Machine learning in echocardiography, can we trust it?. EuroEcho; 2018-12-05 - 2018-12-08
NTNU Untitled
 
33 Smistad, Erik.
Automatisk tolkning av ultralydbilder innen anestesi. Ukentlig fagmøte; 2018-08-28
NTNU Untitled
 
34 Smistad, Erik.
Introduction to deep learning with examples from ultrasound imaging. CIUS Fall conference; 2018-11-27
NTNU Untitled
 
35 Smistad, Erik.
Machine learning in medical imaging. Hadean ventures investor event; 2018-11-13
NTNU Untitled
 
36 Smistad, Erik; Johansen, Kaj Fredrik; Iversen, Daniel Høyer; Reinertsen, Ingerid.
Highlighting nerves and blood vessels for ultrasound guided axillary nerve block procedures using neural networks. Journal of Medical Imaging 2018 ;Volum 5.(4) s. -
SINTEF STO Untitled
 
37 Smistad, Erik; Østvik, Andreas; Salte, Ivar Mjåland; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse.
Fully automatic real-time ejection fraction and MAPSE measurements in 2D echocardiography using deep neural networks. IEEE International Ultrasonics Symposium 2018; 2018-10-22 - 2018-10-25
NTNU Untitled
 
38 Smistad, Erik; Østvik, Andreas; Salte, Ivar Mjåland; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse.
Fully automatic real-time ejection fraction and MAPSE measurements in 2D echocardiography using deep neural networks. Proceedings - IEEE Ultrasonics Symposium 2018 s. -
NTNU SINTEF SSHF Untitled
 
39 Østvik, Andreas; Smistad, Erik; Aase, Svein Arne; Haugen, Bjørn Olav; Løvstakken, Lasse.
Real-time Standard View Classification in Transthoracic Echocardiography using Convolutional Neural Networks. Ultrasound in Medicine and Biology 2018 s. -
NTNU SINTEF Untitled
 
40 Østvik, Andreas; Smistad, Erik; Espeland, Torvald; Berg, Erik Andreas Rye; Løvstakken, Lasse.
Automatic functional imaging in echocardiography using deep learning based segmentation and flow estimation. IEEE International Ultrasonics Symposium 2018; 2018-10-22 - 2018-10-25
NTNU Untitled
 
41 Østvik, Andreas; Smistad, Erik; Espeland, Torvald; Berg, Erik Andreas Rye; Løvstakken, Lasse.
Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. MICCAI 2018, 4th Workshop on Deep Learning in Medical Image Analysis (DLMIA); 2018-09-16 - 2018-09-20
NTNU Untitled
 
42 Østvik, Andreas; Smistad, Erik; Espeland, Torvald; Berg, Erik Andreas Rye; Løvstakken, Lasse.
Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. Lecture Notes in Computer Science (LNCS) 2018 ;Volum 11045 LNCS. s. 309-316
NTNU SINTEF STO Untitled
 
43 Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse.
Deep learning for ultrasound image classification and segmentation. Myocardial velocity and deformation imaging; 2018-02-08 - 2018-02-09
NTNU Untitled
 
2017
44 Giskeødegård, 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; Wigen, Morten Smedsrud; Østvik, Andreas; Ekroll, Ingvild Kinn.
DE VERDIFULLE BILDENE. Forskningstorget 2017; 2017-09-22 - 2017-09-23
NTNU Untitled
 
45 Lindseth, Frank; Hallan, Marte Nordrik; Tønnessen, Martin Schiller; Smistad, Erik; Våpenstad, Cecilie.
MIIP: A web-based platform for medical image interpretation training and evaluation focusing on ultrasound. Progress in Biomedical Optics and Imaging 2017 ;Volum 10138.
NTNU SINTEF Untitled
 
46 Smistad, Erik; Iversen, Daniel Høyer; Leidig, Linda; Bakeng, Janne Beate Lervik; Johansen, Kaj Fredrik; Lindseth, Frank.
Automatic Segmentation and Probe Guidance for Real-Time Assistance of Ultrasound-Guided Femoral Nerve Blocks. Ultrasound in Medicine and Biology 2017 ;Volum 43.(1) s. 218-226
NTNU SINTEF STO Untitled
 
47 Smistad, Erik; Østvik, Andreas; Haugen, Bjørn Olav; Løvstakken, Lasse.
2D Left ventricle segmentation using deep learning. International Ultrasonics Symposium (IUS); 2017-09-06 - 2017-09-09
NTNU Untitled
 
48 Smistad, Erik; Østvik, Andreas; Haugen, Bjørn Olav; Løvstakken, Lasse.
2D left ventricle segmentation using deep learning. Proceedings - IEEE Ultrasonics Symposium 2017 s. 1-4
NTNU Untitled
 
49 Østvik, Andreas; Smistad, Erik; Aase, Svein Arne; Haugen, Bjørn Olav; Løvstakken, Lasse.
Real-Time Classification of Standard Cardiac Views in Echocardiography using Neural Networks. IEEE International Ultrasonics Symposium; 2017-09-06 - 2017-09-09
NTNU Untitled
 
50 Østvik, Andreas; Smistad, Erik; Aase, Svein Arne; Haugen, Bjørn Olav; Løvstakken, Lasse.
Real-time classification of standard cardiac views in echocardiography using neural networks. Proceedings - IEEE Ultrasonics Symposium 2017 s. 1-1
NTNU Untitled
 
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