| 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 | 604 | 2019 |
| Medical image segmentation on GPUs–A comprehensive review E Smistad, TL Falch, M Bozorgi, AC Elster, F Lindseth Medical image analysis 20 (1), 1-18, 2015 | 352 | 2015 |
| Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study RD Rudyanto, S Kerkstra, EM Van Rikxoort, C Fetita, PY Brillet, C Lefevre, ... Medical image analysis 18 (7), 1217-1232, 2014 | 177 | 2014 |
| 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 45 (2), 374-384, 2019 | 131 | 2019 |
| 2D left ventricle segmentation using deep learning E Smistad, A Østvik, L Lovstakken 2017 IEEE International Ultrasonics Symposium (IUS), 1-4, 2017 | 121 | 2017 |
| Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography O Bernard, JG Bosch, B Heyde, M Alessandrini, D Barbosa, ... IEEE transactions on medical imaging 35 (4), 967-977, 2015 | 113 | 2015 |
| 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 | 99 | 2021 |
| Vessel Detection in Ultrasound Images Using Deep Convolutional Neural Networks E Smistad, L Løvstakken 2nd Workshop on Deep Learning in Medical Image Analysis (DLMIA), 30-38, 2016 | 85 | 2016 |
| GPU accelerated segmentation and centerline extraction of tubular structures from medical images E Smistad, AC Elster, F Lindseth International journal of computer assisted radiology and surgery 9 (4), 561-575, 2014 | 79 | 2014 |
| 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, 2020 | 74 | 2020 |
| 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 | 64 | 2021 |
| Airway segmentation and centerline extraction from thoracic CT–comparison of a new method to state of the art commercialized methods PJ Reynisson, M Scali, E Smistad, EF Hofstad, HO Leira, F Lindseth, ... PloS one 10 (12), e0144282, 2015 | 62 | 2015 |
| Highlighting nerves and blood vessels for ultrasound-guided axillary nerve block procedures using neural networks E Smistad, KF Johansen, DH Iversen, I Reinertsen Journal of Medical Imaging 5 (4), 044004-044004, 2018 | 58 | 2018 |
| FAST: framework for heterogeneous medical image computing and visualization E Smistad, M Bozorgi, F Lindseth International Journal of computer assisted radiology and surgery 10, 1811-1822, 2015 | 52 | 2015 |
| Real-Time Automatic Artery Segmentation, Reconstruction and Registration for Ultrasound-Guided Regional Anaesthesia of the Femoral Nerve E Smistad, F Lindseth IEEE Transactions on Medical Imaging 35 (3), 752-761, 2015 | 51 | 2015 |
| Detection of cardiac events in echocardiography using 3D convolutional recurrent neural networks AM Fiorito, A Østvik, E Smistad, S Leclerc, O Bernard, L Lovstakken 2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018 | 48 | 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 | 46 | 2020 |
| Real-time gradient vector flow on GPUs using OpenCL E Smistad, AC Elster, F Lindseth Journal of Real-Time Image Processing 10 (1), 67-74, 2015 | 40 | 2015 |
| Ultrasound speckle reduction using generative adversial networks F Dietrichson, E Smistad, A Østvik, L Lovstakken IEEE International Ultrasonics Symposium (IUS), 2018 | 39 | 2018 |
| 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 | 38 | 2019 |
Lasse LovstakkenProfessor at the Norwegian University of Science and TechnologyDirección de correo verificada de ntnu.no
