Publications

Arnoldo Frigessi; A Bayesian two-way latent structure clustering model for multiple data integration, with an application to subtyping breast cancer 2022. Scientific lecture

Peter F. Craigmile; Peter Guttorp; Rejoinder to the discussion on “A combined estimate of global temperature” Environmetrics, pp. 0 , doi: https://doi.org/10.1002/env.2725 , 2022. Scientific article

Håkon Otneim; Geir Drage Berentsen; Dag Bjarne Tjøstheim; Local Lead–Lag Relationships and Nonlinear Granger Causality: An Empirical Analysis Entropy, pp. 17 , doi: https://doi.org/10.3390/e24030378 , 2022. Scientific article

Dag Bjarne Tjøstheim; Håkon Otneim; Bård Støve; Statistical dependence: Beyond Pearson’s ρ Statistical Science, pp. 90 109 , doi: https://doi.org/10.1214/21-STS823 , 2022. Scientific article

Kristin Skeide Fuglerud; Universell utforming helse- og velferdsteknologi. 2022. Lecture

Kristoffer Knutsen Wickstrøm; Daniel Johansen Trosten; Sigurd Eivindson Løkse; Karl Øyvind Mikalsen; Michael Kampffmeyer; et al. RELAX: Representation Learning Explainability 2022. Poster

Stine Hansen; Srishti Gautam; Robert Jenssen; Michael Kampffmeyer; Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels Medical Image Analysis, pp. 12 , doi: https://doi.org/10.1016/j.media.2022.102385 , 2022. Scientific article

Nanqing Dong; Michael Kampffmeyer; Xiaodan Liang; Min Xu; Irina Voiculescu; et al. Towards robust partially supervised multi-structure medical image segmentation on small-scale data Applied Soft Computing, pp. 12 , doi: https://doi.org/10.1016/j.asoc.2021.108074 , 2022. Scientific article

Nanqing Dong; Michael Kampffmeyer; Irina Voiculescu; Eric Xing; Negational symmetry of quantum neural networks for binary pattern classification Pattern Recognition, pp. 9 , doi: https://doi.org/10.1016/j.patcog.2022.108750 , 2022. Scientific article

Luigi Tommaso Luppino; Mads Adrian Hansen; Michael Kampffmeyer; Filippo Maria Bianchi; Gabriele Moser; et al. Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images IEEE Transactions on Neural Networks and Learning Systems, pp. 13 , doi: https://doi.org/10.1109/TNNLS.2022.3172183 , 2022. Scientific article

Kristoffer Wickstrøm; Eirik Agnalt Østmo; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen; Explaining representations for medical image retrieval 2022. Scientific lecture

Samuel Kuttner; Luigi Tommaso Luppino; Kristoffer Wickstrøm; Nils Thomas Doherty Midtbø; Seyed Esmaeil Dorraji; et al. Deep learning derived input function in dynamic 18F-FDG PET imaging of mice 2022. Scientific lecture

Srishti Gautam; Marina Marie-Claire Hohne; Stine Hansen; Robert Jenssen; Michael Kampffmeyer; This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation Pattern Recognition, pp. 13 , doi: https://doi.org/10.1016/j.patcog.2022.109172 , 2022. Scientific article

Kristoffer Wickstrøm; Juan Emmanuel Johnson; Sigurd Eivindson Løkse; Gusatu Camps-Valls; Karl Øyvind Mikalsen; et al. The Kernelized Taylor Diagram 2022. Scientific lecture

Srishti Gautam; Ahcene Boubekki; Stine Hansen; Suaiba Amina Salahuddin; Robert Jenssen; et al. ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model Advances in Neural Information Processing Systems, pp. 28 , doi: https://doi.org/10.48550/arXiv.2210.08151 , 2022. Scientific article

Srishti Gautam; Marina Marie-Claire Hohne; Stine Hansen; Robert Jenssen; Michael Kampffmeyer; Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation IEEE International Symposium on Biomedical Imaging, pp. 5 , doi: https://doi.org/10.1109/ISBI52829.2022.9761651 , 2022. Scientific article

Xiao Dong; Xunlin Zhan; Yangxin Wu; Yunchao Wei; Michael Kampffmeyer; et al. M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining Computer Vision and Pattern Recognition, pp. 21220 21230 , doi: https://doi.org/10.1109/CVPR52688.2022.02057 , 2022. Scientific article

Nanqing Dong; Michael Kampffmeyer; Irina Voiculescu; Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images Lecture Notes in Computer Science (LNCS), pp. 10 , doi: https://doi.org/10.1007/978-3-031-16452-1_7 , 2022. Scientific article

Srishti Gautam; Marina Marie-Claire Hohne; Stine Hansen; Robert Jenssen; Michael Kampffmeyer; Artifact Detection with Prototypical Relevance Propagation 2022. Poster

Zaiyu Huang; Hanhui Li; Zhenyu Xie; Michael Kampffmeyer; Qingling Cai; et al. Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning Advances in Neural Information Processing Systems, pp. 13 , doi: https://doi.org/10.48550/arXiv.2211.14052 , 2022. Scientific article