Publications

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

Kristin Skeide Fuglerud; Digitale fortellinger og videre utvikling og utprøving av ROSA-løsning 2023. Lecture

Juan Carlos Torrado Vidal; Use of SCERTS as assessment tool in the context of the ROSa project 2023. Lecture

Kristin Skeide Fuglerud; ROSa - Robotstøttet læring for barn med autisme 2023. Lecture

Tomás Fernando Varnet Pérez; Guido Biele; Arnoldo Frigessi; Kristin Romvig Øvergaard; Synthetic data for unidentified Bayesian multiple bias models an application to ADHD interventions for academic achievement 2023. Poster

Martin Jullum; Deteksjon av hvitvasking 2023. Lecture

Martin Jullum; Why AI needs maths and stats -- lessons from working in a CS field 2023. Lecture

Martin Jullum; ML in AML - Machine Learning for Anti Money Laundering 2023. Lecture

Martin Jullum; Kjersti Aas; Anders Løland; Annabelle Alice Redelmeier; A ridiculously simple approach to counterfactual explanations 2023. Scientific lecture

Martin Jullum; Kjersti Aas; Anders Løland; Annabelle Alice Redelmeier; A ridiculously simple approach to counterfactual explanations 2023. Scientific lecture