Luigi Tommaso Luppino
Postdoktor / Maskinlæring
Samuel Kuttner,
Luigi Tommaso Luppino,
Laurence Convert,
Otman Sarrhini,
Roger Lecomte,
Michael Christian Kampffmeyer
m.fl.:
Deep learning derived input function in dynamic [18F]FDG PET imaging of mice
Frontiers in Nuclear Medicine 2024 DOI
Harald Lykke Joakimsen,
Iver Martinsen,
Luigi Tommaso Luppino,
Andrew McDonald,
Scott Hosking,
Robert Jenssen
:
Interrogating Sea Ice Predictability with Gradients
IEEE Geoscience and Remote Sensing Letters 2024 DOI
Santiago Cepeda,
Luigi Tommaso Luppino,
Angel Pérez-Núñez,
Ole Skeidsvoll Solheim,
Sergio García-García,
María Velasco-Casares
m.fl.:
Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI
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
Luigi Tommaso Luppino,
Mads Adrian Hansen,
Michael Kampffmeyer,
Filippo Maria Bianchi,
Gabriele Moser,
Robert Jenssen
m.fl.:
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
IEEE Transactions on Neural Networks and Learning Systems 12. mai 2022 DOI
Luigi Tommaso Luppino,
Michael Kampffmeyer,
Filippo Maria Bianchi,
Gabriele Moser,
Sebastiano Bruno Serpico,
Robert Jenssen
m.fl.:
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
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
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
Luigi Tommaso Luppino,
Filippo Maria Bianchi,
Gabriele Moser,
Stian Normann Anfinsen
:
Remote sensing image regression for heterogeneous change detection
Luigi Tommaso Luppino,
Stian Normann Anfinsen,
Gabriele Moser,
Robert Jenssen,
Filippo Maria Bianchi,
Sebastian Bruno Serpico
m.fl.:
A clustering approach to heterogeneous change detection
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
Santiago Cepeda,
Luigi Tommaso Luppino,
Ole Skeidsvoll Solheim,
Angel Pérez-Núñez,
Sergio García-García,
Anna Maria Karlberg
m.fl.:
Machine Learning-based Identification of Local Recurrence Regions in Glioblastoma using Postoperative MRI: Implications for Survival Prognostication
Brain and Spine 2023 DOI
Luigi Tommaso Luppino
:
Machine Learning Research
2023
Harald Lykke Joakimsen,
Iver Martinsen,
Luigi Tommaso Luppino,
Robert Jenssen
:
"Explainable" IceNet with backpropagated gradients
2023
Fredrik Emil Aspheim,
Luigi Tommaso Luppino,
Samuel Kuttner
:
Deep learning-derived input function in dynamic 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,
Marek Wodsinski,
Ole Skeidsvoll Solheim,
Angel Pérez-Núñez,
Sergio García-García
m.fl.:
External evaluation of a machine learning model employing radiomics to identify regions of local recurrence in glioblastoma from postoperative MRI
Neuro-Oncology 2023 DOI
Luigi Tommaso Luppino,
Samuel Kuttner,
Fredrik Emil Aspheim
:
Explainability of deep-learning-derived input function in dynamic PET imaging
UiT Norges arktiske universitet 2023
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
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
Samuel Kuttner,
Luigi Tommaso Luppino,
Kristoffer Wickstrøm,
Nils Thomas Doherty Midtbø,
Seyed Esmaeil Dorraji,
Ana Oteiza
m.fl.:
Deep learning derived input function in dynamic 18F-FDG PET imaging of mice
2022
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
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
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