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Department of Physics and Technology luigi.t.luppino@uit.no +4777645215 Here you can find me

Luigi Tommaso Luppino

Postdoctoral Research Fellow / Machine Learning

  • Santiago Cepeda, Luigi Tommaso Luppino, Angel Pérez-Núñez, Ole Skeidsvoll Solheim, Sergio García-García, María Velasco-Casares et al.:
    Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI
    Cancers 2023 ARKIV / DOI
  • Luigi Tommaso Luppino, Mads Adrian Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen et al.:
    Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
    IEEE Transactions on Neural Networks and Learning Systems 12. May 2022 DOI
  • 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) 20. October 2022 FULLTEKST / PROSJEKT / OMTALE / ARKIV / DOI
  • Ahcene Boubekki, Jonas Nordhaug Myhre, Luigi Tommaso Luppino, Karl Øyvind Mikalsen, Arthur Revhaug, Robert Jenssen :
    Clinically relevant features for predicting the severity of surgical site infections
    IEEE journal of biomedical and health informatics 2021 ARKIV / FULLTEKST / DOI
  • Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen et al.:
    Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
    IEEE Transactions on Geoscience and Remote Sensing 2021 ARKIV / DOI
  • Bilal Babar, Luigi Tommaso Luppino, Tobias Boström, Stian Normann Anfinsen :
    Random forest regression for improved mapping of solar irradiance at high latitudes
    Solar Energy 2020 DOI
  • 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 14. August 2019 ARKIV / FULLTEKST / DOI
  • Luigi Tommaso Luppino, Filippo Maria Bianchi, Gabriele Moser, Stian Normann Anfinsen :
    Remote sensing image regression for heterogeneous change detection
    IEEE Signal Processing Society 2018 FULLTEKST / ARKIV / DOI
  • Luigi Tommaso Luppino, Stian Normann Anfinsen, Gabriele Moser, Robert Jenssen, Filippo Maria Bianchi, Sebastian Bruno Serpico et al.:
    A clustering approach to heterogeneous change detection
    Springer 2017 ARKIV / FULLTEKST / DOI
  • Cheyma Azzouz, Luigi Tommaso Luppino, Samuel Kuttner :
    Kunstig intelligens: Hvordan kan datamaskiner se?
    2023
  • 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
  • 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
  • Fredrik Emil Aspheim, Luigi Tommaso Luppino, Samuel Kuttner :
    Deep learning-derived input function in dynamic PET imaging
    2023
  • Harald Lykke Joakimsen, Iver Martinsen, Luigi Tommaso Luppino, Robert Jenssen :
    "Explainable" IceNet with backpropagated gradients
    2023
  • Luigi Tommaso Luppino, Samuel Kuttner, Fredrik Emil Aspheim :
    Explainability of deep-learning-derived input function in dynamic PET imaging
    UiT Norges arktiske universitet 2023
  • Luigi Tommaso Luppino :
    Machine Learning Research
    2023
  • Cheyma Azzouz, Luigi Tommaso Luppino, Samuel Kuttner, Santiago Cepeda :
    Predicting areas of local recurrence in glioblastoma MRI scans using deep learning
    2023
  • Fredrik Emil Aspheim, Luigi Tommaso Luppino, Michael Christian Kampffmeyer, Robert Jenssen, Rune Sundset, Akos Samuel Kuttner :
    Interpretable deep learning model for input function estimation in small-animal 18F-FDG PET imaging
    2023
  • Fredrik Emil Aspheim, Samuel Kuttner, Luigi Tommaso Luppino, Rune Sundset, Michael Christian Kampffmeyer, Robert Jenssen :
    Deep learning derived input-function in dynamic PET-imaging
    2023
  • Santiago Cepeda, Luigi Tommaso Luppino, Ole Skeidsvoll Solheim, Angel Pérez-Núñez, Sergio García-García, Anna Maria Karlberg et al.:
    Machine Learning-based Identification of Local Recurrence Regions in Glioblastoma using Postoperative MRI: Implications for Survival Prognostication
    Brain and Spine 2023 DOI
  • Santiago Cepeda, Luigi Tommaso Luppino, Marek Wodsinski, Ole Skeidsvoll Solheim, Angel Pérez-Núñez, Sergio García-García et al.:
    External evaluation of a machine learning model employing radiomics to identify regions of local recurrence in glioblastoma from postoperative MRI
    Neuro-Oncology 2023 DOI
  • Samuel Kuttner, Luigi Tommaso Luppino, Kristoffer Wickstrøm, Nils Thomas Doherty Midtbø, Seyed Esmaeil Dorraji, Ana Oteiza et al.:
    Deep learning derived input function in dynamic 18F-FDG PET imaging of mice
    2022
  • 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 ARKIV
  • 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 ARKIV
  • 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

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    Member of research group

    Machine Learning   Norsk innhold