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English
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For å registrere i Cristin må du være vitenskapelig eller administrativt ansatt.
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2023
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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
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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
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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
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4. |
Azzouz, Cheyma; Luppino, Luigi Tommaso; Kuttner, Samuel. Kunstig intelligens: Hvordan kan datamaskiner se?. Inspirasjonsdag 2023; 2023-10-25 UiT
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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
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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
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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
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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
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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
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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
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11. |
Luppino, Luigi Tommaso. Machine Learning Research. Kongsbakken VGS på besøk; 2023-03-22 UiT
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12. |
; Aspheim, Fredrik Emil. Explainability of deep-learning-derived input function in dynamic PET imaging. UiT Norges arktiske universitet 2023 87 s. UiT
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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
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2022
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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
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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
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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
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2021
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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
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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
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2020
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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
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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
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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
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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
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2019
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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
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2018
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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
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2017
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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
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