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2023
1 Aspheim, Fredrik Emil; Kuttner, Samuel; Luppino, Luigi Tommaso; Sundset, Rune; Kampffmeyer, Michael Christian; Jenssen, Robert.
Deep learning derived input-function in dynamic PET-imaging. 2nd 180N Conference; 2023-04-25 - 2023-04-27
UiT Untitled
 
2 Aspheim, Fredrik Emil; Luppino, Luigi Tommaso; Kampffmeyer, Michael Christian; Jenssen, Robert; Sundset, Rune; Kuttner, Akos Samuel.
Interpretable deep learning model for input function estimation in small-animal 18F-FDG PET imaging. The Artificial Intelligence and Informatics in Nuclear Medicine (AINM 2023); 2023-10-09 - 2023-10-11
UiT Untitled
 
3 Aspheim, Fredrik Emil; Luppino, Luigi Tommaso; Kuttner, Samuel.
Deep learning-derived input function in dynamic PET imaging. VI days 2023; 2023-09-27 - 2023-09-28
UiT Untitled
 
4 Azzouz, Cheyma; Luppino, Luigi Tommaso; Kuttner, Samuel.
Kunstig intelligens: Hvordan kan datamaskiner se?. Inspirasjonsdag 2023; 2023-10-25
UiT Untitled
 
5 Azzouz, Cheyma; Luppino, Luigi Tommaso; Kuttner, Samuel; Cepeda, Santiago.
Predicting areas of local recurrence in glioblastoma MRI scans using deep learning. Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2023; 2023-09-13 - 2023-09-15
UiT Untitled
 
6 Cepeda, Santiago; Luppino, Luigi Tommaso; Pérez-Núñez, Angel; Solheim, Ole Skeidsvoll; García-García, Sergio; Velasco-Casares, María; Karlberg, Anna Maria; Eikenes, Live; Sarabia, Rosario; Arrese, Ignacio; Zamora, Tomás; Gonzalez, Pedro; Jiménez-Roldán, Luis; Kuttner, Samuel.
Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI. Cancers 2023 ;Volum 15.(6) s. -
UiT NTNU STO UNN Untitled
 
7 Cepeda, Santiago; Luppino, Luigi Tommaso; Solheim, Ole Skeidsvoll; Pérez-Núñez, Angel; García-García, Sergio; Karlberg, Anna Maria; Eikenes, Live; Zamora, Tomás; Sarabia, Rosario; Arrese, Ignacio; Kuttner, Samuel.
Machine Learning-based Identification of Local Recurrence Regions in Glioblastoma using Postoperative MRI: Implications for Survival Prognostication. Brain and Spine 2023 ;Volum 3. Suppl. 1
UiT NTNU Untitled
 
8 Cepeda, Santiago; Luppino, Luigi Tommaso; Wodsinski, Marek; Solheim, Ole Skeidsvoll; Pérez-Núñez, Angel; García-García, Sergio; Karlberg, Anna Maria; Eikenes, Live; Zamora, Tomás; Sarabia, Rosario; Arrese, Ignacio; Kuttner, Samuel.
External evaluation of a machine learning model employing radiomics to identify regions of local recurrence in glioblastoma from postoperative MRI. Neuro-Oncology 2023 ;Volum 25. Suppl. 5 s. 195-196
UiT NTNU Untitled
 
9 Joakimsen, Harald Lykke; Martinsen, Iver; Luppino, Luigi Tommaso; Jenssen, Robert.
"Explainable" IceNet with backpropagated gradients. VI days 2023; 2023-09-27 - 2023-09-28
UiT Untitled
 
10 Leffler, Klara; Luppino, Luigi Tommaso; Kuttner, Samuel; Axelsson, Jan.
Deep learning-based filling of incomplete sinograms from low-cost, long axial field-of-view PET scanners with inter-detector gaps. The Artificial Intelligence and Informatics in Nuclear Medicine (AINM 2023); 2023-10-09 - 2023-10-11
UiT Untitled
 
11 Luppino, Luigi Tommaso.
Machine Learning Research. Kongsbakken VGS på besøk; 2023-03-22
UiT Untitled
 
12 ; Aspheim, Fredrik Emil.
Explainability of deep-learning-derived input function in dynamic PET imaging. UiT Norges arktiske universitet 2023 87 s.
UiT Untitled
 
13 Luppino, Luigi Tommaso; Leffler, Klara; Kuttner, Samuel; Axelsson, Jan Erik.
Deep learning-based filling of incomplete sinograms from low-cost, long axial field-of-view PET scanners with inter-detector gaps. Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2023; 2023-09-13 - 2023-09-15
UiT Untitled
 
2022
14 Agersborg, Jørgen Andreas; Luppino, Luigi Tommaso; Anfinsen, Stian Normann; Jepsen, Jane Uhd.
Toward Targeted Change Detection with Heterogeneous Remote Sensing Images for Forest Mortality Mapping. Canadian Journal of Remote Sensing (CJRS) 2022 ;Volum 48.(6) s. 826-848
NORCE NINA UiT Untitled
 
15 Kuttner, Samuel; Luppino, Luigi Tommaso; Wickstrøm, Kristoffer; Midtbø, Nils Thomas Doherty; Dorraji, Seyed Esmaeil; Oteiza, Ana; Martin, Armas Maria Montserrat; Fenton, Kristin Andreassen; Convert, Laurence; Sarrhini, Otman; Lecomte, Roger; Kampffmeyer, Michael; Jenssen, Robert; Axlesson, Jan; Sundset, Rune.
Deep learning derived input function in dynamic 18F-FDG PET imaging of mice. The 35th Annual Congress of the European Association of Nuclear Medicine; 2022-10-15 - 2022-10-19
UiT Untitled
 
16 Luppino, Luigi Tommaso; Hansen, Mads Adrian; Kampffmeyer, Michael; Bianchi, Filippo Maria; Moser, Gabriele; Jenssen, Robert; Anfinsen, Stian Normann.
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. IEEE Transactions on Neural Networks and Learning Systems 2022 ;Volum 35.(1) s. 60-72
NORCE UiT Untitled
 
2021
17 Boubekki, Ahcene; Myhre, Jonas Nordhaug; Luppino, Luigi Tommaso; Mikalsen, Karl Øyvind; Revhaug, Arthur; Jenssen, Robert.
Clinically relevant features for predicting the severity of surgical site infections. IEEE journal of biomedical and health informatics 2021 ;Volum 26.(4) s. 1794-1801
UNN NORCE UiT Untitled
 
18 Luppino, Luigi Tommaso; Kampffmeyer, Michael; Bianchi, Filippo Maria; Moser, Gabriele; Serpico, Sebastiano Bruno; Jenssen, Robert; Anfinsen, Stian Normann.
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. IEEE Transactions on Geoscience and Remote Sensing 2021 ;Volum 60. s. -
NORCE UiT Untitled
 
2020
19 Anfinsen, Stian Normann; Luppino, Luigi Tommaso; Hansen, Mads Adrian; Moser, Gabriele; Serpico, Sebastian Bruno.
Unsupervised Heterogeneous Change Detection in Radar Images by Cross-domain Affinity Matching. IEEE Radar Conference; 2020-09-21 - 2020-09-25
UiT Untitled
 
20 Babar, Bilal; Luppino, Luigi Tommaso; Boström, Tobias; Anfinsen, Stian Normann.
Random forest regression for improved mapping of solar irradiance at high latitudes. Solar Energy 2020 ;Volum 198. s. 81-92
UiT Untitled
 
21 Figari Tomenotti, Federico; Luppino, Luigi Tommaso; Hansen, Mads Adrian; Moser, Gabriele; Anfinsen, Stian Normann.
Heterogeneous Change Detection with Self-supervised Deep Canonically Correlated Autoencoders. IEEE International Geoscience and Remote Sensing Symposium 2020; 2020-09-26 - 2020-10-02
UiT Untitled
 
22 Moser, Gabriele; Anfinsen, Stian Normann; Luppino, Luigi Tommaso; Serpico, Sebastian Bruno.
Change Detection with Heterogeneous Remote Sensing Data: From Semi-Parametric Regression to Deep Learning. IEEE International Geoscience and Remote Sensing Symposium 2020; 2020-09-26 - 2020-10-02
UiT Untitled
 
2019
23 Luppino, Luigi Tommaso; Bianchi, Filippo Maria; Moser, Gabriele; Anfinsen, Stian Normann.
Unsupervised Image Regression for Heterogeneous Change Detection. IEEE Transactions on Geoscience and Remote Sensing 2019 ;Volum 57.(12) s. 9960-9975
UiT Untitled
 
2018
24 Luppino, Luigi Tommaso; Bianchi, Filippo Maria; Moser, Gabriele; Anfinsen, Stian Normann.
Remote sensing image regression for heterogeneous change detection. I: 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE Signal Processing Society 2018 ISBN 978-1-5386-5477-4. s. -
UiT Untitled
 
2017
25 Luppino, Luigi Tommaso; Anfinsen, Stian Normann; Moser, Gabriele; Jenssen, Robert; Bianchi, Filippo Maria; Serpico, Sebastian Bruno; Mercier, Gregoire.
A clustering approach to heterogeneous change detection. I: Image Analysis 20th Scandinavian Conference, SCIA 2017 Tromsø, Norway, June 12–14, 2017 Proceedings, Part II. Springer 2017 ISBN 978-3-319-59128-5. s. 181-192
UiT Untitled