Publications

Using stochastic simulation modelling to study occupancy levels of decentralised admission avoidance units in Norway Health Systems, vol. 12, pp. 317 331 , (ISSN 2047-6965 2047-6973 ), doi: https://doi.org/10.1080/20476965.2023.2174453 , 2023. Scientific article

Foredrag om ChatGPT 2023. Lecture

Structural geologic modeling and restoration using ensemble Kalman inversion Journal of Structural Geology, vol. 171, (ISSN 0191-8141 1873-1201 ), doi: https://doi.org/10.1016/j.jsg.2023.104868 , 2023. Scientific article

Health Professionals’ Views on the Use of Social Robots with Vulnerable Users: A Scenario-Based Qualitative Study Using Story Dialogue Method pp. 421 428 , doi: https://doi.org/10.1109/RO-MAN57019.2023.10309644 , 2023. Scientific chapter / article / conference article

Sleep cycle-dependent vascular dynamics in male mice and the predicted effects on perivascular cerebrospinal fluid flow and solute transport Nature Communications, vol. 14, (ISSN 2041-1723 ), doi: https://doi.org/10.1038/s41467-023-36643-5 , 2023. Scientific article

Mina Spremic; Jo Eidsvik; Thomas Mejer Hansen; Comparison of Sampling Methods with Local Conditioning to Seismic Data 2023. Lecture

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