Cristin-person-ID: 481250
Person

Akos Samuel Kuttner

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

Resultater Resultater

Deep learning derived input function in dynamic [<sup>18</sup>F]FDG PET imaging of mice.

Kuttner, Samuel; Luppino, Luigi Tommaso; Convert, Laurence; Sarrhini, Otman; Lecomte, Roger; Kampffmeyer, Michael Christian; Sundset, Rune; Jenssen, Robert. 2024, Frontiers in Nuclear Medicine. UIT, UNN, USVitenskapelig artikkel

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
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Utmerkelser

  • 2023 - Best presentation award (AINM 2023)