• Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks 

      Helland, Ragnhild Holden; Ferles, Alexandros; Pedersen, Andre; Kommers, Ivar; Ardon, Hilko; Barkhof, Frederik; Bello, Lorenzo; Berger, Mitchel S.; Dunås, Tora; Nibali, Marco Conti; Furtner, Julia; Hervey-Jumper, Shawn; Idema, Albert J. S.; Kiesel, Barbara; Tewari, Rishi Nandoe; Mandonnet, Emmanuel; Müller, Domenique M. J.; Robe, Pierre A.; Rossi, Marco; Sagberg, Lisa Millgård; Sciortino, Tommaso; Aalders, Tom; Wagemakers, Michiel; Widhalm, Georg; Witte, Marnix G.; Zwinderman, Aeilko H.; Majewska, Paulina Luiza; Jakola, Asgeir Store; Solheim, Ole Skeidsvoll; Hamer, Philip C. De Witt; Reinertsen, Ingerid; Eijgelaar, Roelant S.; Bouget, David Nicolas Jean-Marie (Peer reviewed; Journal article, 2023)
      Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images ...