Erik Smistad
Erik Smistad
Norwegian University of Science and Technology and SINTEF Medical Technology
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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
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
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
2D left ventricle segmentation using deep learning
E Smistad, A Østvik, L Lovstakken
2017 IEEE International Ultrasonics Symposium (IUS), 1-4, 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
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
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
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
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
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
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
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
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
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
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
Real-time Tracking of the Left Ventricle in 3D Ultrasound Using Kalman Filter and Mean Value Coordinates
E Smistad, R Brekken, F Lindseth
Proceedings MICCAI Challenge on Echocardiographic Three-Dimensional …, 2014
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
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
Ultrasound speckle reduction using generative adversial networks
F Dietrichson, E Smistad, A Østvik, L Lovstakken
IEEE International Ultrasonics Symposium (IUS), 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
IEEE International Ultrasonics Symposium (IUS), 2018
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