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 | 288 | 2015 |
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 | 204 | 2019 |
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 | 138 | 2014 |
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 | 82 | 2015 |
2D left ventricle segmentation using deep learning E Smistad, A Østvik, L Lovstakken 2017 IEEE International Ultrasonics Symposium (IUS), 1-4, 2017 | 76 | 2017 |
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 | 62 | 2014 |
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 | 60 | 2016 |
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 | 58 | 2019 |
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 | 44 | 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 | 39 | 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 (11 …, 2015 | 37 | 2015 |
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 | 29 | 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 | 28 | 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, 2018 | 26 | 2018 |
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 | 21 | 2020 |
Ultrasound speckle reduction using generative adversial networks F Dietrichson, E Smistad, A Østvik, L Lovstakken IEEE International Ultrasonics Symposium (IUS), 2018 | 21 | 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 | 19 | 2018 |
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 | 18 | 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 | 17 | 2019 |
Fast surface extraction and visualization of medical images using OpenCL and GPUs E Smistad, AC Elster, F Lindseth The Joint Workshop on High Performance and Distributed Computing for Medical …, 2011 | 17 | 2011 |