| Unsupervised Image Regression for Heterogeneous Change Detection LT Luppino, FM Bianchi, G Moser, SN Anfinsen IEEE Transactions on Geoscience and Remote Sensing 57 (12), 9960 - 9975, 2019 | 138 | 2019 |
| Deep image translation with an affinity-based change prior for unsupervised multimodal change detection LT Luppino, M Kampffmeyer, FM Bianchi, G Moser, SB Serpico, ... IEEE Transactions on Geoscience and Remote Sensing 60, 1-22, 2021 | 125 | 2021 |
| Code-aligned autoencoders for unsupervised change detection in multimodal remote sensing images LT Luppino, MA Hansen, M Kampffmeyer, FM Bianchi, G Moser, ... IEEE Transactions on Neural Networks and Learning Systems 35 (1), 60-72, 2022 | 119 | 2022 |
| Random forest regression for improved mapping of solar irradiance at high latitudes B Babar, LT Luppino, T Boström, SN Anfinsen Solar Energy 198, 81-92, 2020 | 106 | 2020 |
| A clustering approach to heterogeneous change detection LT Luppino, SN Anfinsen, G Moser, R Jenssen, FM Bianchi, S Serpico, ... Scandinavian Conference on Image Analysis, 181-192, 2017 | 32 | 2017 |
| Remote sensing image regression for heterogeneous change detection LT Luppino, FM Bianchi, G Moser, SN Anfinsen 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018 | 19 | 2018 |
| Predicting regions of local recurrence in glioblastomas using voxel-based radiomic features of multiparametric postoperative MRI S Cepeda, LT Luppino, A Pérez-Núñez, O Solheim, S García-García, ... Cancers 15 (6), 1894, 2023 | 18 | 2023 |
| Change detection with heterogeneous remote sensing data: From semi-parametric regression to deep learning G Moser, SN Anfinsen, LT Luppino, SB Serpico IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 7 | 2020 |
| Unsupervised heterogeneous change detection in radar images by cross-domain affinity matching SN Anfinsen, LT Luppino, MA Hansen, G Moser, SB Serpico 2020 IEEE Radar Conference (RadarConf20), 1-6, 2020 | 7 | 2020 |
| Toward targeted change detection with heterogeneous remote sensing images for forest mortality mapping JA Agersborg, LT Luppino, SN Anfinsen, JU Jepsen Canadian Journal of Remote Sensing 48 (6), 826-848, 2022 | 6 | 2022 |
| Heterogeneous change detection with self-supervised deep canonically correlated autoencoders FF Tomenotti, LT Luppino, MA Hansen, G Moser, SN Anfinsen IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 6 | 2020 |
| Unsupervised image regression for heterogeneous change detection. arXiv 2019 LT Luppino, FM Bianchi, G Moser, SN Anfinsen arXiv preprint arXiv:1909.05948, 0 | 5 | |
| Clinically relevant features for predicting the severity of surgical site infections A Boubekki, JN Myhre, LT Luppino, KØ Mikalsen, A Revhaug, R Jenssen IEEE Journal of Biomedical and Health Informatics 26 (4), 1794-1801, 2021 | 3 | 2021 |
| Interrogating Sea Ice Predictability with Gradients HL Joakimsen, I Martinsen, LT Luppino, A McDonald, S Hosking, ... IEEE Geoscience and Remote Sensing Letters, 2024 | 1 | 2024 |
| Unsupervised change detection in heterogeneous remote sensing imagery LT Luppino UiT Norges arktiske universitet, 2020 | 1 | 2020 |
| Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting L Uebbing, HL Joakimsen, LT Luppino, I Martinsen, A McDonald, ... Northern Lights Deep Learning Conference 2025, 2025 | | 2025 |
| Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models S Cepeda, R Romero, D Garcia-Perez, G Blasco, LT Luppino, S Kuttner, ... arXiv preprint arXiv:2404.11725, 2024 | | 2024 |
| Deep learning derived input function in dynamic [18F]FDG PET imaging of mice S Kuttner, LT Luppino, L Convert, O Sarrhini, R Lecomte, ... Frontiers in Nuclear Medicine 4, 1372379, 2024 | | 2024 |
| Neuro-Oncology Advances S Cepeda, R Romero, L Luque, D García-Pérez, G Blasco, LT Luppino, ... | | 2024 |
| Deep learning-based postoperative glioblastoma segmentation and extent of resection evaluation: Development, external validation, and model comparison S Cepeda, R Romero, L Luque, D García-Pérez, G Blasco, LT Luppino, ... Neuro-oncology advances 6 (1), vdae199, 2024 | | 2024 |
Stian Normann AnfinsenNORCE Norwegian Research CentreAdresse e-mail validée de norceresearch.no
