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2021
1 Hu, Jieyu; Olaisen, Sindre Hellum; Smistad, Erik; Dalen, Håvard; Løvstakken, Lasse.
Fully automated left atrium quantification using deep learning. IEEE IUS 2021; 2021-09-11 - 2021-09-16
NTNU Untitled
 
2 Mohajery, Mohammad; Wigen, Morten Smedsrud; Fadnes, Solveig; Pasdeloup, David Francis Pierre; Smistad, Erik; Espeland, Torvald; Salles, Sebastien; Løvstakken, Lasse.
The variation of natural myocardial mechanical wave velocities due to 3D propagation. International Ultrasonics Symposium; 2021-09-11 - 2021-09-16
NTNU UiO Untitled
 
3 Pasdeloup, David Francis Pierre; Olaisen, Sindre Hellum; Østvik, Andreas; Holte, Espen; Grenne, Bjørnar; Sæbo, Sigbjørn; Smistad, Erik; Dalen, Håvard; Løvstakken, Lasse.
Real-time Image Guiding in Echocardiography using Deep Learning. International Ultrasound Symposium; 2021-09-11 - 2021-09-16
NTNU Untitled
 
4 Pedersen, André; Valla, Marit; Bofin, Anna Mary; Perez de Frutos, Javier; Reinertsen, Ingerid; Smistad, Erik.
FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology. IEEE Access 2021 ;Volume 9. p. 1-14
NTNU SINTEF STO Untitled
 
5 Pettersen, HÃ¥kon Neergaard; Sæbø, Sigbjørn; Pasdeloup, David Francis Pierre; Østvik, Andreas Raae; Smistad, Erik; Stølen, Stian Bergseng; Grenne, Bjørnar; Løvstakken, Lasse; Dalen, Håvard; Holte, Espen.
Impact of real-time feedback by deep learning during echocardiography on test-retest variability of left ventricular systolic function measurements.. Høstmøte, Norsk Cardiologisk Selskap; 2021-10-28 - 2021-10-30
NTNU Untitled
 
6 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.
Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography. JACC Cardiovascular Imaging 2021 ;Volume 14.(10) p. 1918-1928
SSHF UiO NTNU OUS STO Untitled
 
7 Smistad, Erik.
FAST: A framework for high-performance medical image computing and visualization. Association for Computing Machinery (ACM) 2021 (ISBN 9781450390330)
NTNU SINTEF Untitled
 
8 Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse.
Annotation Web - An open-source web-based annotation tool for ultrasound images. Proceedings - IEEE Ultrasonics Symposium 2021
NTNU Untitled
 
9 Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse.
Annotation Web - An open-source web-based annotation tool for ultrasound images. IEEE International Ultrasonics Symposium; 2021-09-11 - 2021-09-16
NTNU Untitled
 
10 Smistad, Erik; Østvik, Andreas; Pedersen, Andrè.
Deep learning in real-time ultrasound and digital pathology. Deep Learning Meet Up; 2021-10-22
NTNU Untitled
 
11 Smistad, Erik; Lie, Torgrim; Johansen, Kaj Fredrik.
Real-time segmentation of blood vessels, nerves and bone in ultrasound-guided regional anesthesia using deep learning. Proceedings - IEEE Ultrasonics Symposium 2021
STO NTNU SINTEF Untitled
 
12 Smistad, Erik; Lie, Torgrim; Johansen, Kaj Fredrik.
Real-time segmentation of blood vessels, nerves and bone in ultrasound-guided regional anesthesia using deep learning. IEEE International Ultrasonics Symposium; 2021-09-11 - 2021-09-16
NTNU STO Untitled
 
13 Smistad, Erik; Pedersen, Andrè.
Artificial intelligence in digital pathology. Fall Seminar 2021; 2021-08-18
NTNU Untitled
 
14 Smistad, Erik; Salte, Ivar Mjåland; Dalen, Håvard; Løvstakken, Lasse.
Real-time temporal coherent left ventricle segmentation using convolutional LSTMs. Proceedings - IEEE Ultrasonics Symposium 2021
NTNU Untitled
 
15 Smistad, Erik; Salte, Ivar Mjåland; Dalen, Håvard; Løvstakken, Lasse.
Real-time temporal coherent left ventricle segmentation using convolutional LSTMs. IEEE International Ultrasonics Symposium; 2021-09-11 - 2021-09-16
NTNU Untitled
 
16 Smistad, Erik; Steinsland, Erik Nikolai; Løvstakken, Lasse.
Real-time 3D left ventricle segmentation and ejection fraction using deep learning. IEEE International Ultrasonics Symposium; 2021-09-11 - 2021-09-16
NTNU Untitled
 
17 Smistad, Erik; Steinsland, Erik Nikolai; Løvstakken, Lasse.
Real-time 3D left ventricle segmentation and ejection fraction using deep learning. Proceedings - IEEE Ultrasonics Symposium 2021
NTNU Untitled
 
18 Østvik, Andreas; Salte, Ivar Mjåland; Smistad, Erik; Nguyen, Thuy Mi; Melichova, Daniela; Brunvand, Harald; Haugaa, Kristina; Edvardsen, Thor; Grenne, Bjørnar; Løvstakken, Lasse.
Myocardial Function Imaging in Echocardiography Using Deep Learning. IEEE Transactions on Medical Imaging 2021 ;Volume 40.(5) p. 1340-1351
NTNU SSHF UiO Untitled
 
2020
19 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.
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 2020 ;Volume 67.(12)
NTNU STO Untitled
 
20 Pasdeloup, David Francis Pierre; Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse; Dalen, Håvard; Olaisen, Sindre Hellum; Grønli, Thomas.
Automatic Apical Standard Views extraction from 3D ultrasound volumes using Deep Learning. Virtual IEEE IUS Symposium; 2020-09-06 - 2020-09-11
NTNU Untitled
 
21 Smistad, Erik.
Eksempler og utfordringer i maskinlæringsbasert bildeanalyse innen ultralyd, CT, MR og digital patologi. Medisinsk bildebehandling og maskinlæring; 2020-10-12
NTNU Untitled
 
22 Smistad, Erik.
Treff nerven med ultralyd og kunstig intelligens. forskning.no 2020
NTNU Untitled
 
23 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 ;Volume 67.(12) p. 2595-2604
NTNU OUS SINTEF SSHF STO UiO Untitled
 
2019
24 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
 
25 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
 
26 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 ;Volume 2019-October. p. 1160-1163
NTNU STO Untitled
 
27 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 ;Volume 38.(9) p. 2198-2210
NTNU STO Untitled
 
28 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
 
29 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
 
30 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
 
31 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
 
32 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
 
33 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
 
34 Smistad, Erik.
Kunstig intelligens i medisinsk bildediagnostikk - muligheter og utfordringer. HEMIT konferansen 2019; 2019-08-19
NTNU Untitled
 
35 Smistad, Erik.
Machine learning and artificial intelligence in medical imaging. Forelesning for NTNU IKOM; 2019-03-04
NTNU Untitled
 
36 Smistad, Erik.
Machine learning in medical imaging. SINTEF Digital Kick off; 2019-01-30
NTNU Untitled
 
37 Smistad, Erik.
Maskiner ser nå bedre enn de beste av oss. Aftenposten [Newspaper] 2019-11-29
NTNU Untitled
 
38 Smistad, Erik.
Maskinlæring i ultralyd. Ultralydsymposium; 2019-04-03 - 2019-04-05
NTNU Untitled
 
39 Smistad, Erik.
Maskinlæring og kunstig intelligens i medisinsk bildeanalyse. Årsmøte den norske patologforening; 2019-03-07
NTNU Untitled
 
40 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
 
41 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 ;Volume 2019-October. p. 8-11
NTNU SINTEF SSHF Untitled
 
42 Smistad, Erik; Østvik, Andreas; Pedersen, André.
High performance neural network inference, streaming, and visualization of medical images using FAST. IEEE Access 2019 ;Volume 7. p. 136310-136321
NTNU SINTEF Untitled
 
43 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
 
44 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
 
45 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
 
46 Østvik, Andreas; Smistad, Erik; Løvstakken, Lasse.
Machine learning in Echocardiography​. Cardiac Imaging Day; 2019-10-17 - 2019-10-18
NTNU SINTEF Untitled
 
2018
47 Dietrichson, Fabian Sødal; Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse.
Ultrasound speckle reduction using generative adversial networks. Proceedings - IEEE Ultrasonics Symposium 2018 ;Volume 2018-October:8579764. p. -
NTNU SINTEF Untitled
 
48 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
 
49 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
 
50 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 p. -
NTNU Untitled
 
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