Luigi Tommaso Luppino

According to our database, Luigi Tommaso Luppino authored at least 14 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [¹⁸F]FDG PET imaging.

Christian Salomonsen, Luigi Tommaso Luppino, Fredrik Aspheim, Kristoffer Wickstrøm, Elisabeth Wetzer, Michael Kampffmeyer, Rodrigo Berzaghi, Rune Sundset, Robert Jenssen, Samuel Kuttner

CoRR, July, 2025

Filling of incomplete sinograms from sparse PET detector configurations using a residual U-Net.

Klara Leffler, Luigi Tommaso Luppino, Samuel Kuttner, Karin Söderkvist, Jan Axelsson

CoRR, June, 2025

Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting.

Lars Uebbing, Harald L. Joakimsen, Luigi Tommaso Luppino, Iver Martinsen, Andrew McDonald, Kristoffer Knutsen Wickstrøm, Sébastien Lefèvre, Arnt-Børre Salberg, Scott Hosking, Robert Jenssen

Proceedings of the Northern Lights Deep Learning Conference, 2025

2024

Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images.

Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Interrogating Sea Ice Predictability With Gradients.

Harald L. Joakimsen, Iver Martinsen, Luigi Tommaso Luppino, Andrew McDonald, Scott Hosking, Robert Jenssen

IEEE Geosci. Remote. Sens. Lett., 2024

Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models.

Santiago Cepeda, Roberto Romero, Daniel García-Pérez, Guillermo Blasco, Luigi Tommaso Luppino, Samuel Kuttner, Ignacio Arrese, Ole Solheim, Live Eikenes, Anna Karlberg, Angel Perez-Nunez, Trinidad Escudero, Roberto Hornero, Rosario Sarabia

CoRR, 2024

2022

Clinically Relevant Features for Predicting the Severity of Surgical Site Infections.

Ahcène Boubekki, Jonas Nordhaug Myhre, Luigi Tommaso Luppino, Karl Øyvind Mikalsen, Arthur Revhaug, Robert Jenssen

IEEE J. Biomed. Health Informatics, 2022

Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection.

Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen

IEEE Trans. Geosci. Remote. Sens., 2022

Towards Targeted Change Detection with Heterogeneous Remote Sensing Images for Forest Mortality Mapping.

Jørgen Andreas Agersborg, Luigi Tommaso Luppino, Stian Normann Anfinsen, Jane Uhd Jepsen

CoRR, 2022

2020

Heterogeneous Change Detection with Self-Supervised Deep Canonically Correlated Autoencoders.

Federico Figari Tomenotti, Luigi Tommaso Luppino, Mads A. Hansen, Gabriele Moser, Stian Normann Anfinsen

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Change Detection with Heterogeneous Remote Sensing Data: From Semi-Parametric Regression to Deep Learning.

Gabriele Moser, Stian Normann Anfinsen, Luigi Tommaso Luppino, Sebastiano B. Serpico

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Unsupervised Image Regression for Heterogeneous Change Detection.

Luigi Tommaso Luppino, Filippo Maria Bianchi, Gabriele Moser, Stian Normann Anfinsen

IEEE Trans. Geosci. Remote. Sens., 2019

2018

Remote Sensing Image Regression for Heterogeneous Change Detection.

Luigi Tommaso Luppino, Filippo Maria Bianchi, Gabriele Moser, Stian Normann Anfinsen

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

2017

A Clustering Approach to Heterogeneous Change Detection.

Luigi Tommaso Luppino, Stian Normann Anfinsen, Gabriele Moser, Robert Jenssen, Filippo Maria Bianchi, Sebastiano B. Serpico, Grégoire Mercier

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017