Blar i NTNU Open på forfatter "Kuttner, Samuel"

Viser treff 1-3 av 3

    • Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI 

      Cepeda, Santiago; Luppino, Luigi Tommaso; Pérez-Núñez, Angel; Solheim, Ole Skeidsvoll; García-García, Sergio; Velasco-Casares, María; Karlberg, Anna Maria; Eikenes, Live; Sarabia, Rosario; Arrese, Ignacio; Zamora, Tomás; Gonzalez, Pedro; Jiménez-Roldán, Luis; Kuttner, Samuel (Peer reviewed; Journal article, 2023)
      The globally accepted surgical strategy in glioblastomas is removing the enhancing tumor. However, the peritumoral region harbors infiltration areas responsible for future tumor recurrence. This study aimed to evaluate a ...

    • Quantitative PET/MR imaging of lung cancer in the presence of artifacts in the MR-based attenuation correction maps 

      Kuttner, Samuel; Lassen, Martin Lyngby; Øen, Silje Kjærnes; Sundset, Rune; Beyer, Thomas; Eikenes, Live (Journal article; Peer reviewed, 2019)
      Background Positron emission tomography (PET)/magnetic resonance (MR) imaging may become increasingly important for assessing tumor therapy response. A prerequisite for quantitative PET/MR imaging is reliable and repeatable ...

    • Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI 

      Hansen, Stine; Kuttner, Samuel; Kampffmeyer, Michael; Markussen, Tom-Vegard; Sundset, Rune; Øen, Silje Kjærnes; Eikenes, Live; Jenssen, Robert (Peer reviewed; Journal article, 2020)
      Tumor segmentation is a crucial but difficult task in treatment planning and follow-up of cancerous patients. The challenge of automating the tumor segmentation has recently received a lot of attention, but the potential ...