Standardized evaluation of the extent of resection in glioblastoma with automated early post-operative segmentation.
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| Title: | Standardized evaluation of the extent of resection in glioblastoma with automated early post-operative segmentation. |
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| Authors: | Luque L; Computational Radiology and Artificial Intelligence (CRAI), Department of Physics and Computational Radiology, Clinic for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.; Department of Physics, University of Oslo, Oslo, Norway.; Department of Physics and Computational Radiology, Clinic for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway., Skogen K; Department of Radiology, Clinic for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway., MacIntosh BJ; Computational Radiology and Artificial Intelligence (CRAI), Department of Physics and Computational Radiology, Clinic for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.; Department of Physics and Computational Radiology, Clinic for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.; Sandra E Black Centre for Brain Resilience and Recovery, Sunnybrook Research Institute, Toronto, ON, Canada., Emblem KE; Department of Physics and Computational Radiology, Clinic for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway., Larsson C; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.; Department of Neurosurgery, Oslo University Hospital, Oslo, Norway., Bouget D; Department of Health Research, SINTEF Digital, Trondheim, Norway., Helland RH; Department of Health Research, SINTEF Digital, Trondheim, Norway.; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway., Reinertsen I; Department of Health Research, SINTEF Digital, Trondheim, Norway.; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway., Solheim O; Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.; Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway., Schellhorn T; Computational Radiology and Artificial Intelligence (CRAI), Department of Physics and Computational Radiology, Clinic for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.; Department of Radiology, Clinic for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway., Vardal J; Department of Radiology, Clinic for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway., Mireles EEM; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.; Department of Neurosurgery, Oslo University Hospital, Oslo, Norway., Vik-Mo EO; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.; Department of Neurosurgery, Oslo University Hospital, Oslo, Norway., Bjørnerud A; Computational Radiology and Artificial Intelligence (CRAI), Department of Physics and Computational Radiology, Clinic for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.; Department of Physics, University of Oslo, Oslo, Norway.; Department of Physics and Computational Radiology, Clinic for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.; Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway. |
| Source: | Frontiers in radiology [Front Radiol] 2024 May 22; Vol. 4, pp. 1357341. Date of Electronic Publication: 2024 May 22 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 9918367586306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-8740 (Electronic) Linking ISSN: 26738740 NLM ISO Abbreviation: Front Radiol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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