| Deep learning for segmentation using an open large-scale dataset in 2D echocardiography S Leclerc, E Smistad, J Pedrosa, A Østvik, F Cervenansky, F Espinosa, ... IEEE transactions on medical imaging 38 (9), 2198-2210, 2019 | 358 | 2019 |
| 2D left ventricle segmentation using deep learning E Smistad, A Østvik 2017 IEEE international ultrasonics symposium (IUS), 1-4, 2017 | 104 | 2017 |
| Real-Time Standard View Classification in Transthoracic Echocardiography Using Convolutional Neural Networks A Østvik, E Smistad, SA Aase, BO Haugen, L Lovstakken Ultrasound in medicine & biology, 2018 | 88 | 2018 |
| Artificial intelligence for automatic measurement of left ventricular strain in echocardiography IM Salte, A Østvik, E Smistad, D Melichova, TM Nguyen, S Karlsen, ... Cardiovascular Imaging 14 (10), 1918-1928, 2021 | 49 | 2021 |
| Real-time automatic ejection fraction and foreshortening detection using deep learning E Smistad, A Østvik, IM Salte, D Melichova, TM Nguyen, K Haugaa, ... IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67 …, 2020 | 48 | 2020 |
| Detection of Cardiac Events in Echocardiography Using 3D Convolutional Recurrent Neural Networks A Meidell Fiorito, A Østvik, E Smistad, S Leclerc, O Bernard, L Lovstakken 2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018 | 33 | 2018 |
| Myocardial function imaging in echocardiography using deep learning A Østvik, IM Salte, E Smistad, TM Nguyen, D Melichova, H Brunvand, ... ieee transactions on medical imaging 40 (5), 1340-1351, 2021 | 31 | 2021 |
| Ultrasound speckle reduction using generative adversial networks F Dietrichson, E Smistad, A Ostvik, L Lovstakken 2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018 | 30 | 2018 |
| Fully automatic real-time ejection fraction and MAPSE measurements in 2D echocardiography using deep neural networks E Smistad, A Østvik, IM Salte, S Leclerc, O Bernard, L Lovstakken 2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018 | 29 | 2018 |
| LU-Net: a multistage attention network to improve the robustness of segmentation of left ventricular structures in 2-D echocardiography S Leclerc, E Smistad, A Østvik, F Cervenansky, F Espinosa, T Espeland, ... IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67 …, 2020 | 28 | 2020 |
| RU-Net: A refining segmentation network for 2D echocardiography S Leclerc, E Smistad, T Grenier, C Lartizien, A Ostvik, F Cervenansky, ... 2019 IEEE International Ultrasonics Symposium (IUS), 1160-1163, 2019 | 28 | 2019 |
| Automatic myocardial strain imaging in echocardiography using deep learning A Østvik, E Smistad, T Espeland, EAR Berg, L Lovstakken International Workshop on Deep Learning in Medical Image Analysis, 309-316, 2018 | 24 | 2018 |
| High performance neural network inference, streaming, and visualization of medical images using FAST E Smistad, A Østvik, A Pedersen Ieee Access 7, 136310-136321, 2019 | 21 | 2019 |
| Segmentation of apical long axis, four-and two-chamber views using deep neural networks E Smistad, IM Salte, A Østvik, S Leclerc, O Bernard, L Lovstakken 2019 IEEE International Ultrasonics Symposium (IUS), 8-11, 2019 | 17 | 2019 |
| Deep learning applied to Multi-Structure segmentation in 2D echocardiography: A preliminary investigation of the required database size S Leclerc, E Smistad, T Grenier, C Lartizien, A Ostvik, F Espinosa, ... 2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018 | 15 | 2018 |
| Can a dinosaur think? Implementation of artificial intelligence in extracorporeal shock wave lithotripsy S Muller, H Abildsnes, A Østvik, O Kragset, I Gangås, H Birke, T Langø, ... European Urology Open Science 27, 33-42, 2021 | 12 | 2021 |
| 545 Deep learning/artificial intelligence for automatic measurement of global longitudinal strain by echocardiography IM Salte, A Oestvik, E Smistad, D Melichova, TM Nguyen, H Brunvand, ... European Heart Journal-Cardiovascular Imaging 21 (Supplement_1), jez319. 279, 2020 | 6 | 2020 |
| Deep learning segmentation in 2D echocardiography using the camus dataset: Automatic assessment of the anatomical shape validity S Leclerc, E Smistad, A Østvik, F Cervenansky, F Espinosa, T Espeland, ... arXiv preprint arXiv:1908.02994, 2019 | 6 | 2019 |
| Annotation Web-An open-source web-based annotation tool for ultrasound images E Smistad, A Østvik, L Løvstakken 2021 IEEE International Ultrasonics Symposium (IUS), 1-4, 2021 | 5 | 2021 |
| EchoBot: An open-source robotic ultrasound system A Østvik, LE Bø, E Smistad IPCAI 2019, 2019 | 5 | 2019 |
Erik SmistadNorwegian University of Science and Technology and SINTEF Medical Technology在 ntnu.no 的电子邮件经过验证
