Machine Learning-based Identification of Local Recurrence Regions in Glioblastoma using Postoperative MRI: Implications for Survival Prognostication

• Santiago Cepeda,
• Luigi Tommaso Luppino,
• Ole Solheim,
• Angel Pérez-Núñez,
• Sergio García-García,
• Anna Karlberg,
• Live Eikenes,
• Tomas Zamora,
• Rosario Sarabia,
• Ignacio Arrese,
• Samuel Kuttner

Affiliations

Santiago Cepeda

University Hospital Río Hortega, Deparment of Neurosurgery, Valladolid, Spain

Luigi Tommaso Luppino

UiT Machine Learning Group, Tromsø, Norway

Ole Solheim

St Olavs University Hospital, Deparment of Neurosurgey, Trondheim, Norway

Angel Pérez-Núñez

University Hospital 12 de Octubre, Department of Neurosurgery, Madrid, Spain

Sergio García-García

University Hospital Río Hortega, Deparment of Neurosurgery, Valladolid, Spain

Anna Karlberg

Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, NTNU, Trondheim, Norway

Live Eikenes

Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway

Tomas Zamora

University Hospital Río Hortega, Department of Pathology, Valladolid, Spain

Rosario Sarabia

University Hospital Río Hortega, Deparment of Neurosurgery, Valladolid, Spain

Ignacio Arrese

University Hospital Río Hortega, Deparment of Neurosurgery, Valladolid, Spain

Samuel Kuttner

Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway