André Pedersen

Publication Activity (10 Years)

Years Active: 2021-2022
Publications (10 Years): 4

Top Topics

Convolutional Neural Network

Magnetic Resonance

Top Venues

Journal of medical imaging (Bellingham, Wash.)

This page only lists publications with an associated author ORCID identifier.

Publications

Vemund Fredriksen, Svein Ole M Sevle, André Pedersen, Thomas Langø, Gabriel Kiss, Frank Lindseth
Teacher-student approach for lung tumor segmentation from mixed-supervised datasets. PloS one 17 (4) (2022)
David Bouget, Roelant Sjouke Eijgelaar, André Pedersen, Ivar Kommers, Hilko Ardon, Frederik Barkhof, Lorenzo Bello, Mitchel S Berger, Marco Conti Nibali, Julia Furtner, Even Hovig Fyllingen, Shawn Hervey-Jumper, Albert J S Idema, Barbara Kiesel, Alfred Kloet, Emmanuel Mandonnet, Domenique M J Müller, Pierre A J T Robe, Marco Rossi, Lisa M Sagberg, Tommaso Sciortino, Wimar A Van den Brink, Michiel Wagemakers, Georg Widhalm, Marnix G Witte, Aeilko H Zwinderman, Ingerid Reinertsen, Philip C De Witt Hamer, Ole Solheim
Glioblastoma Surgery Imaging-Reporting and Data System: Validation and Performance of the Automated Segmentation Task. Cancers 13 (18) (2021)
Ivar Kommers, David Bouget, André Pedersen, Roelant S Eijgelaar, Hilko Ardon, Frederik Barkhof, Lorenzo Bello, Mitchel S Berger, Marco Conti Nibali, Julia Furtner, Even Hovig Fyllingen, Shawn Hervey-Jumper, Albert J S Idema, Barbara Kiesel, Alfred Kloet, Emmanuel Mandonnet, Domenique M J Müller, Pierre A J T Robe, Marco Rossi, Lisa M Sagberg, Tommaso Sciortino, Wimar A van den Brink, Michiel Wagemakers, Georg Widhalm, Marnix G Witte, Aeilko H Zwinderman, Ingerid Reinertsen, Ole Solheim, Philip C De Witt Hamer
Glioblastoma Surgery Imaging-Reporting and Data System: Standardized Reporting of Tumor Volume, Location, and Resectability Based on Automated Segmentations. Cancers 13 (12) (2021)
David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Johanna Vanel, Ole Solheim, Ingerid Reinertsen
Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architecture. Journal of medical imaging (Bellingham, Wash.) 8 (2) (2021)