Navigation

  • Skip to Content
NTNU Home NTNU Home

ntnu.edu

  • Studies
    • Master's programmes in English
    • For exchange students
    • PhD opportunities
    • All programmes of study
    • Courses
    • Financing
    • Language requirements
    • Application process
    • Academic calendar
    • FAQ
  • Research and innovation
    • NTNU research
    • Research excellence
    • Strategic research areas
    • Innovation resources
    • PhD opportunities
  • Life and housing
    • Student in Trondheim
    • Student in Gjøvik
    • Student in Ålesund
    • For researchers
    • Life and housing
  • About NTNU
    • Contact us
    • Faculties and departments
    • Libraries
    • International researcher support
    • Vacancies
    • About NTNU
    • Maps
  1. Employees

Språkvelger

Norsk

Erik Smistad

Download press photo
Download press photo
Foto:

Erik Smistad

Post doc
Department of Circulation and Medical Imaging

erik.smistad@ntnu.no
+4773594469 +4790524585 AHL-senteret, Øya
Twitter Personal webpage GitHub page
About Publications Outreach

About

Working 50% as a post doc at the CIUS project and 50% as a researcher at SINTEF Medical Technology.


Primary research interests

  • Image segmentation
  • Machine learning and neural networks
  • Parallel and GPU processing
  • Ultrasound

If you are interested in the same topics, please don't hesitate to contact me at erik.smistad@ntnu.no.

See my personal webpage www.eriksmistad.no for more information about my research.

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2017

  • Smistad, Erik; Iversen, Daniel Høyer; Leidig, Linda; Bakeng, Janne Beate Lervik; Johansen, Kaj Fredrik; Lindseth, Frank. (2017) Automatic Segmentation and Probe Guidance for Real-Time Assistance of Ultrasound-Guided Femoral Nerve Blocks. Ultrasound in Medicine and Biology
    Academic article

2016

  • Smistad, Erik; Løvstakken, Lasse. (2016) Vessel detection in ultrasound images using deep convolutional neural networks. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Grønli, Thomas; Smistad, Erik; Nyrnes, Siri Ann; Gomez, Alberto; Løvstakken, Lasse. (2016) Reconstruction of In Vivo Flow Velocity Fields Based On a Rapid Ultrasound Image Segmentation and B-spline Regularization Framework. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Smistad, Erik; Lindseth, Frank. (2016) Real-Time Automatic Artery Segmentation, Reconstruction and Registration for Ultrasound-Guided Regional Anaesthesia of the Femoral Nerve. IEEE Transactions on Medical Imaging
    Academic article

2015

  • Smistad, Erik; Elster, Anne C.; Lindseth, Frank. (2015) Real-time gradient vector flow on GPUs using OpenCL. Journal of Real-Time Image Processing
    Academic article
  • Smistad, Erik; Bozorgi, Mohammadmehdi; Lindseth, Frank. (2015) FAST: framework for heterogeneous medical image computing and visualization. International Journal of Computer Assisted Radiology and Surgery
    Academic article
  • Smistad, Erik; Falch, Thomas Løfsgaard; Bozorgi, Mohammadmehdi; Elster, Anne C.; Lindseth, Frank. (2015) Medical image segmentation on GPUs - A comprehensive review. Medical Image Analysis
    Academic literature review
  • Smistad, Erik. (2015) Medical Image Segmentation for Improved Surgical Navigation. Doktoravhandlinger ved NTNU (236)
    Doctoral dissertation

2014

  • Smistad, Erik; Brekken, Reidar; Lindseth, Frank. (2014) A new tube detection filter for abdominal aortic aneurysms. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Smistad, Erik; Elster, Anne C.; Lindseth, Frank. (2014) GPU accelerated segmentation and centerline extraction of tubular structures from medical images. International Journal of Computer Assisted Radiology and Surgery
    Academic article
  • Smistad, Erik; Lindseth, Frank. (2014) Multigrid gradient vector flow computation on the GPU. Journal of Real-Time Image Processing
    Academic article

2012

  • Smistad, Erik; Elster, Anne C.; Lindseth, Frank. (2012) GPU-Based Airway Segmentation and Centerline Extraction for Image Guided Bronchoscopy. NIKT: Norsk IKT-konferanse for forskning og utdanning
    Academic article
  • Smistad, Erik; Elster, Anne C.; Lindseth, Frank. (2012) Real-Time Surface Extraction and Visualization of Medical Images using OpenCL and GPUs. NIKT: Norsk IKT-konferanse for forskning og utdanning
    Academic article

Journal publications

  • Smistad, Erik; Iversen, Daniel Høyer; Leidig, Linda; Bakeng, Janne Beate Lervik; Johansen, Kaj Fredrik; Lindseth, Frank. (2017) Automatic Segmentation and Probe Guidance for Real-Time Assistance of Ultrasound-Guided Femoral Nerve Blocks. Ultrasound in Medicine and Biology
    Academic article
  • Smistad, Erik; Løvstakken, Lasse. (2016) Vessel detection in ultrasound images using deep convolutional neural networks. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Grønli, Thomas; Smistad, Erik; Nyrnes, Siri Ann; Gomez, Alberto; Løvstakken, Lasse. (2016) Reconstruction of In Vivo Flow Velocity Fields Based On a Rapid Ultrasound Image Segmentation and B-spline Regularization Framework. Proceedings - IEEE Ultrasonics Symposium
    Academic article
  • Smistad, Erik; Lindseth, Frank. (2016) Real-Time Automatic Artery Segmentation, Reconstruction and Registration for Ultrasound-Guided Regional Anaesthesia of the Femoral Nerve. IEEE Transactions on Medical Imaging
    Academic article
  • Smistad, Erik; Elster, Anne C.; Lindseth, Frank. (2015) Real-time gradient vector flow on GPUs using OpenCL. Journal of Real-Time Image Processing
    Academic article
  • Smistad, Erik; Bozorgi, Mohammadmehdi; Lindseth, Frank. (2015) FAST: framework for heterogeneous medical image computing and visualization. International Journal of Computer Assisted Radiology and Surgery
    Academic article
  • Smistad, Erik; Falch, Thomas Løfsgaard; Bozorgi, Mohammadmehdi; Elster, Anne C.; Lindseth, Frank. (2015) Medical image segmentation on GPUs - A comprehensive review. Medical Image Analysis
    Academic literature review
  • Smistad, Erik; Brekken, Reidar; Lindseth, Frank. (2014) A new tube detection filter for abdominal aortic aneurysms. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Smistad, Erik; Elster, Anne C.; Lindseth, Frank. (2014) GPU accelerated segmentation and centerline extraction of tubular structures from medical images. International Journal of Computer Assisted Radiology and Surgery
    Academic article
  • Smistad, Erik; Lindseth, Frank. (2014) Multigrid gradient vector flow computation on the GPU. Journal of Real-Time Image Processing
    Academic article
  • Smistad, Erik; Elster, Anne C.; Lindseth, Frank. (2012) GPU-Based Airway Segmentation and Centerline Extraction for Image Guided Bronchoscopy. NIKT: Norsk IKT-konferanse for forskning og utdanning
    Academic article
  • Smistad, Erik; Elster, Anne C.; Lindseth, Frank. (2012) Real-Time Surface Extraction and Visualization of Medical Images using OpenCL and GPUs. NIKT: Norsk IKT-konferanse for forskning og utdanning
    Academic article

Report

  • Smistad, Erik. (2015) Medical Image Segmentation for Improved Surgical Navigation. Doktoravhandlinger ved NTNU (236)
    Doctoral dissertation

Outreach

2014

  • Academic lecture
    Smistad, Erik; Lindseth, Frank. (2014) Real-time Tracking of the Left Ventricle in 3D Ultrasound Using Kalman Filter and Mean Value Coordinates. Proceedings MICCAI Challenge on Echocardiographic Three-Dimensional Ultrasound Segmentation (CETUS) , Boston 2014-09-14 - 2014-09-18

NTNU – Norwegian University of Science and Technology

  • For employees
  • |
  • For students
  • |
  • Intranet
  • |
  • Blackboard

Studies

  • Master's programmes in English
  • For exchange students
  • PhD opportunities
  • Courses
  • Career development
  • Continuing education
  • Application process

News

  • NTNU News
  • Vacancies

About NTNU

  • About the university
  • Libraries
  • NTNU's strategy
  • Research excellence
  • Strategic research areas
  • Organizational chart

Contact

  • Contact NTNU
  • Employees
  • Find experts
  • Press contacts
  • Researcher support
  • Maps

NTNU in three cities

  • NTNU in Gjøvik
  • NTNU in Trondheim
  • NTNU in Ålesund

About this website

  • Use of cookies
  • Accessibility statement
  • Privacy policy
  • Editorial responsibility
Facebook Instagram Linkedin Snapchat Tiktok Youtube
Sign In
NTNU logo