Cristin-person-ID: 481250
Person

Akos Samuel Kuttner

  • Stilling:
    Førsteamanuensis
    ved Institutt for fysikk og teknologi ved UiT Norges arktiske universitet

Resultater Resultater

External evaluation of a machine learning model employing radiomics to identify regions of local recurrence in glioblastoma from postoperative MRI.

Cepeda, Santiago; Luppino, Luigi Tommaso; Wodsinski, Marek; Solheim, Ole Skeidsvoll; Pérez-Núñez, Angel; García-García, Sergio; Karlberg, Anna Maria; Eikenes, Live; Zamora, Tomás; Sarabia, Rosario mfl.. 2023, Neuro-Oncology. UIT, NTNUSammendrag/abstract

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

Cepeda, Santiago; Luppino, Luigi Tommaso; Solheim, Ole Skeidsvoll; Pérez-Núñez, Angel; García-García, Sergio; Karlberg, Anna Maria; Eikenes, Live; Zamora, Tomás; Sarabia, Rosario; Arrese, Ignacio mfl.. 2023, Brain and Spine. UIT, NTNU, HORSammendrag/abstract

Kunstig intelligens: Hvordan kan datamaskiner se?

Azzouz, Cheyma; Luppino, Luigi Tommaso; Kuttner, Samuel. 2023, Inspirasjonsdag 2023. UITPopulærvitenskapelig foredrag

Predicting areas of local recurrence in glioblastoma MRI scans using deep learning.

Azzouz, Cheyma; Luppino, Luigi Tommaso; Kuttner, Samuel; Cepeda, Santiago. 2023, Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2023. UIT, HORPoster

Deep learning-based filling of incomplete sinograms from low-cost, long axial field-of-view PET scanners with inter-detector gaps.

Luppino, Luigi Tommaso; Leffler, Klara; Kuttner, Samuel; Axelsson, Jan Erik. 2023, Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2023. UIT, UMUFaglig foredrag
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Utmerkelser

  • 2023 - Best presentation award (AINM 2023)