Blar i NTNU Open på forfatter "Pedersen, Andre"

Viser treff 1-3 av 3

    • Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation 

      Perez de Frutos, Javier; Pedersen, Andre; Pelanis, Egidijus; Bouget, David Nicolas Jean-Mar; Survarachakan, Shanmugapriya; Langø, Thomas; Elle, Ole Jakob; Lindseth, Frank (Peer reviewed; Journal article, 2023)
      Purpose This study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging. Methods Different training strategies, loss functions, and ...

    • Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting 

      Bouget, David Nicolas Jean-Mar; Alsinan, Demah; Gaitan, Valeria; Helland, Ragnhild Holden; Pedersen, Andre; Solheim, Ole Skeidsvoll; Reinertsen, Ingerid Reime (Peer reviewed; Journal article, 2023)
      For patients suffering from central nervous system tumors, prognosis estimation, treatment decisions, and postoperative assessments are made from the analysis of a set of magnetic resonance (MR) scans. Currently, the lack ...

    • 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 ...