Publications

The Tien Mai; Mina Spremic; Jo Eidsvik; A pseudo-Bayesian approach for non-linear seismic inversion 2023. Poster

Ingrid Dæhlen; Nils Lid Hjort; Ingrid Hobæk Haff; Accurate bias estimation with applications to focused model selection Scandinavian Journal of Statistics, pp. 1 36 35 , doi: https://doi.org/10.1111/sjos.12696 , 2023. Scientific article

Klara Leffler; Luigi Tommaso Luppino; Samuel Kuttner; Jan Axelsson; Deep learning-based filling of incomplete sinograms from low-cost, long axial field-of-view PET scanners with inter-detector gaps 2023. Scientific lecture

Santiago Cepeda; Luigi Tommaso Luppino; Angel Pérez-Núñez; Ole Skeidsvoll Solheim; Sergio García-García; et al. Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI Cancers, pp. 0 , doi: https://doi.org/10.3390/cancers15061894 , 2023. Scientific article

Fredrik Emil Aspheim; Explainability of deep-learning-derived input function in dynamic PET imaging 2023. Thesis master

Luigi Tommaso Luppino; Machine Learning Research 2023. Lecture popular

Fredrik Emil Aspheim; Luigi Tommaso Luppino; Samuel Kuttner; Deep learning-derived input function in dynamic PET imaging 2023. Lecture

Cheyma Azzouz; Luigi Tommaso Luppino; Samuel Kuttner; Santiago Cepeda; Predicting areas of local recurrence in glioblastoma MRI scans using deep learning 2023. Poster

Luigi Tommaso Luppino; Klara Leffler; Samuel Kuttner; Jan Erik Axelsson; Deep learning-based filling of incomplete sinograms from low-cost, long axial field-of-view PET scanners with inter-detector gaps 2023. Lecture

Santiago Cepeda; Luigi Tommaso Luppino; Ole Skeidsvoll Solheim; Angel Pérez-Núñez; Sergio García-García; et al. Machine Learning-based Identification of Local Recurrence Regions in Glioblastoma using Postoperative MRI: Implications for Survival Prognostication Brain and Spine, doi: https://doi.org/10.1016/j.bas.2023.101960 , 2023. Abstract

Cheyma Azzouz; Luigi Tommaso Luppino; Samuel Kuttner; Kunstig intelligens: Hvordan kan datamaskiner se? 2023. Lecture popular

Santiago Cepeda; Luigi Tommaso Luppino; Marek Wodsinski; Ole Skeidsvoll Solheim; Angel Pérez-Núñez; et al. External evaluation of a machine learning model employing radiomics to identify regions of local recurrence in glioblastoma from postoperative MRI Neuro-Oncology, pp. 195 196 , doi: https://doi.org/10.1093/neuonc/noad179.0741 , 2023. Abstract

Akos Samuel Kuttner; Luigi Tommaso Luppino; Deep learning based input-function in positron emission tomography imaging: The story of an innovation project 2023. Lecture

Robert Jenssen; NLDL - Northern Lights Deep Learning Conference 2023. Media interview

Robert Jenssen; Kristoffer Knutsen Wickstrøm; Ja takk til «krysskulturelle» prosjekter drevet fram av teknologiutvikling Khrono.no, 2023. Article feature

Robert Jenssen; Kristoffer Knutsen Wickstrøm; Hvordan bør fotavtrykket av regjeringens satsing på kunstig intelligens se ut i Nord-Norge i 2030? Nordnorsk Debatt, 2023. Article feature

Leif-Martin Sæther Sunde; Spherical Priors for Bayesian Deep Learning , 2023. Thesis master

Dennis Christensen; A symmetry-based simulation method for Bayesian nonparametric models with binary response data 2023. Poster

Dennis Christensen; A symmetry-based simulation method for Bayesian nonparametric models with binary response data 2023. Scientific lecture

Dennis Christensen; A symmetry-based simulation method for Bayesian nonparametric models with binary response data 2023. Scientific lecture