Luigi Tommaso Luppino

Harald Lykke Joakimsen; Iver Martinsen; Luigi Tommaso Luppino; Andrew McDonald; Scott Hosking; et al. Interrogating Sea Ice Predictability with Gradients IEEE Geoscience and Remote Sensing Letters, pp. 1 5 4 , doi: https://doi.org/10.1109/LGRS.2024.3366308 , 2024. Scientific article

Samuel Kuttner; Luigi Tommaso Luppino; Laurence Convert; Otman Sarrhini; Roger Lecomte; et al. Deep learning derived input function in dynamic [¹⁸F]FDG PET imaging of mice Frontiers in Nuclear Medicine, pp. 0 , doi: https://doi.org/10.3389/fnume.2024.1372379 , 2024. Scientific article

Robert Jenssen; Luigi Tommaso Luppino; Mark Andrew Girolami; Iver Martinsen; Harald Lykke Joakimsen; Rune Endresen Ytreberg; Midt i skitværet spår de bedre og raskere værmelding 2024. Media interview

Lars Uebbing; Harald Lykke Joakimsen; Luigi Tommaso Luppino; Iver Martinsen; Andrew McDonald; et al. Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting 2024. Poster

Fredrik Emil Aspheim; Samuel Kuttner; Luigi Tommaso Luppino; Rune Sundset; Michael Christian Kampffmeyer; et al. Deep learning derived input-function in dynamic PET-imaging 2023. 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

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

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

Luigi Tommaso Luppino; Machine Learning Research 2023. Lecture popular

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

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

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

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

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

Fredrik Emil Aspheim; Luigi Tommaso Luppino; Michael Christian Kampffmeyer; Robert Jenssen; Rune Sundset; et al. Interpretable deep learning model for input function estimation in small-animal 18F-FDG PET imaging 2023. Scientific lecture

Harald Lykke Joakimsen; Iver Martinsen; Luigi Tommaso Luppino; Robert Jenssen; "Explainable" IceNet with backpropagated gradients 2023. Poster

Luigi Tommaso Luppino; Mads Adrian Hansen; Michael Kampffmeyer; Filippo Maria Bianchi; Gabriele Moser; et al. Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images IEEE Transactions on Neural Networks and Learning Systems, pp. 13 , doi: https://doi.org/10.1109/TNNLS.2022.3172183 , 2022. Scientific article

Samuel Kuttner; Luigi Tommaso Luppino; Kristoffer Wickstrøm; Nils Thomas Doherty Midtbø; Seyed Esmaeil Dorraji; et al. Deep learning derived input function in dynamic 18F-FDG PET imaging of mice 2022. Scientific lecture

Jørgen Andreas Agersborg; Luigi Tommaso Luppino; Stian Normann Anfinsen; Jane Uhd Jepsen; Toward Targeted Change Detection with Heterogeneous Remote Sensing Images for Forest Mortality Mapping Canadian Journal of Remote Sensing (CJRS), pp. 826 848 , doi: https://doi.org/10.1080/07038992.2022.2135497 , 2022. Scientific article

Luigi Tommaso Luppino; Michael Kampffmeyer; Filippo Maria Bianchi; Gabriele Moser; Sebastiano Bruno Serpico; et al. Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection IEEE Transactions on Geoscience and Remote Sensing, pp. 22 , doi: https://doi.org/10.1109/TGRS.2021.3056196 , 2021. Scientific article

Ahcene Boubekki; Jonas Nordhaug Myhre; Luigi Tommaso Luppino; Karl Øyvind Mikalsen; Arthur Revhaug; et al. Clinically relevant features for predicting the severity of surgical site infections IEEE journal of biomedical and health informatics, (ISSN 2168-2194 2168-2208 ), doi: https://doi.org/10.1109/JBHI.2021.3121038 , 2021. Article journal

Ahcene Boubekki; Jonas Nordhaug Myhre; Luigi Tommaso Luppino; Karl Øyvind Mikalsen; Arthur Revhaug; et al. Clinically relevant features for predicting the severity of surgical site infections IEEE Journal of Biomedical and Health Informatics, pp. 1794 1801 7 , doi: https://doi.org/10.1109/JBHI.2021.3121038 , 2021. Scientific article

Federico Figari Tomenotti; Luigi Tommaso Luppino; Mads Adrian Hansen; Gabriele Moser; Stian Normann Anfinsen; Heterogeneous Change Detection with Self-supervised Deep Canonically Correlated Autoencoders , 2020. Scientific lecture

Gabriele Moser; Stian Normann Anfinsen; Luigi Tommaso Luppino; Sebastian Bruno Serpico; Change Detection with Heterogeneous Remote Sensing Data: From Semi-Parametric Regression to Deep Learning , 2020. Scientific lecture

Stian Normann Anfinsen; Luigi Tommaso Luppino; Mads Adrian Hansen; Gabriele Moser; Sebastian Bruno Serpico; Unsupervised Heterogeneous Change Detection in Radar Images by Cross-domain Affinity Matching 2020. Scientific lecture

Bilal Babar; Luigi Tommaso Luppino; Tobias Boström; Stian Normann Anfinsen; Random forest regression for improved mapping of solar irradiance at high latitudes Solar Energy, pp. 81 92 , doi: https://doi.org/10.1016/j.solener.2020.01.034 , 2020. Scientific article

Luigi Tommaso Luppino; Filippo Maria Bianchi; Gabriele Moser; Stian Normann Anfinsen; Unsupervised Image Regression for Heterogeneous Change Detection IEEE Transactions on Geoscience and Remote Sensing, pp. 9960 9975 16 , doi: https://doi.org/10.1109/TGRS.2019.2930348 , 2019. Scientific article