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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
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
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
Ahcene Boubekki; Michael Kampffmeyer; Ulf Brefeld; Robert Jenssen; Joint optimization of an autoencoder for clustering and embedding. Machine Learning, pp. 1901 1937 , doi: https://doi.org/10.1007/s10994-021-06015-5 , 2021. Scientific article
Zhenyu Xie; Zaiyu Huang; Fuwei Zhao; Haoye Dong; Michael Kampffmeyer; et al. Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN Advances in Neural Information Processing Systems, pp. 12 , doi: https://doi.org/10.48550/arXiv.2111.10544 , 2021. Scientific article
Fuwei Zhao; Zhenyu Xie; Michael Kampffmeyer; Haoye Dong; Songfang Han; et al. M3D-VTON: A Monocular-to-3D Virtual Try-On Network IEEE International Conference on Computer Vision (ICCV), pp. 11 , doi: https://doi.org/10.48550/arXiv.2108.05126 , 2021. Scientific article
Nanqing Dong; Michael Kampffmeyer; Irina Voiculescu; Self-supervised Multi-task Representation Learning for Sequential Medical Images Lecture Notes in Computer Science (LNCS), pp. 779 794 , doi: https://doi.org/10.1007/978-3-030-86523-8_47 , 2021. Scientific article
Daniel Johansen Trosten; Sigurd Eivindson Løkse; Robert Jenssen; Michael Kampffmeyer; Reconsidering Representation Alignment for Multi-View Clustering Computer Vision and Pattern Recognition, pp. 1255 1265 , doi: https://doi.org/10.1109/CVPR46437.2021.00131 , 2021. Scientific article
Luigi Tommaso Luppino; Michael Kampffmeyer; Filippo Maria Bianchi; Gabriele Moser; Sebastiano Bruno Serpico; et al. Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection IEEE Transactions on Geoscience and Remote Sensing, pp. 22 , doi: https://doi.org/10.1109/TGRS.2021.3056196 , 2021. Scientific article
Stine Hansen; Samuel Kuttner; Michael Kampffmeyer; Tom-Vegard Markussen; Rune Sundset; et al. Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI Expert Systems With Applications, pp. 1 12 , doi: https://doi.org/10.1016/j.eswa.2020.114244 , 2020. Scientific article
Kristoffer Knutsen Wickstrøm; Michael C. Kampffmeyer; Robert Jenssen; Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps Medical Image Analysis, doi: https://doi.org/10.1016/j.media.2019.101619 , 2019. Scientific article
Yujia Zhang; Michael C. Kampffmeyer; Xiaodan Liang; Dingwen Zhang; Min Tan; et al. Dilated temporal relational adversarial network for generic video summarization Multimedia Tools and Applications, pp. 35237 35261 , doi: https://doi.org/10.1007/s11042-019-08175-y , 2019. Scientific article
Michael C. Kampffmeyer; Yinbo Chen; Xiaodan Liang; Hao Wang; Yujia Zhang; et al. Rethinking knowledge graph propagation for zero-shot learning Computer Vision and Pattern Recognition, pp. 11479 11488 , doi: https://doi.org/10.1109/CVPR.2019.01175 , 2019. Scientific article
Daniel Johansen Trosten; Andreas Storvik Strauman; Michael C. Kampffmeyer; Robert Jenssen; Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 3257 3261 , doi: https://doi.org/10.1109/ICASSP.2019.8682365 , 2019. Scientific article
Yujia Zhang; Michael C. Kampffmeyer; Xiaoguang Zhao; Min Tan; Deep Reinforcement Learning for Query-Conditioned Video Summarization Applied Sciences, pp. 1 16 , doi: https://doi.org/10.3390/app9040750 , 2019. Scientific article
Marie Lilleborge; Ragnhild Sørum Falk; Therese Sørlie; Giske Ursin; Solveig Hofvind; Can breast cancer be stopped? Modifiable risk factors of breast cancer among women with a prior benign or premalignant lesion International Journal of Cancer, pp. 1247 1256 , doi: https://doi.org/10.1002/ijc.33680 , 2021. Scientific article
Marie Lilleborge; Ragnhild Sørum Falk; Tone Hovda; Marit Muri Holmen; Giske Ursin; et al. Patterns of aggressiveness: risk of progression to invasive breast cancer by mammographic features of calcifications in screen-detected ductal carcinoma in situ Acta Radiologica, pp. 586 595 9 , doi: https://doi.org/10.1177/02841851211006319 , 2021. Scientific article
Marthe Larsen; Marie Lilleborge; Einar Vigeland; Solveig Hofvind; Self-reported symptoms among participants in a population-based screening program Breast, pp. 56 61 , doi: https://doi.org/10.1016/j.breast.2020.08.015 , 2020. Scientific article
Marie Lilleborge; Ragnhild Sørum Falk; Solveig Hofvind; Number of prior negative screening outcomes does not influence future risk of breast cancer European Journal of Epidemiology (EJE), pp. 549 556 , doi: https://doi.org/10.1007/s10654-020-00645-0 , 2020. Scientific article
Marie Lilleborge; Ragnhild Sørum Falk; Hege Elisabeth Giercksky Russnes; Torill Sauer; Giske Ursin; et al. Risk of breast cancer by prior screening results among women participating in BreastScreen Norway Cancer, pp. 3330 3337 , doi: https://doi.org/10.1002/cncr.32330 , 2019. Scientific article
Joschua Thomas Simon-Liedtke; Ivar Farup; Multiscale Daltonization in the gradient domain Color and Imaging Conference (CIC), pp. 7 18 , doi: https://doi.org/10.2352/J.Percept.Imaging.2018.1.1.010503 , 2018. Scientific article
Joschua Thomas Simon-Liedtke; Ivar Farup; Multiscale daltonization in the gradient domain Journal of Perceptual Imaging (JPI), pp. 010503-1 010503-12 , doi: https://doi.org/10.2352/J.Percept.Imaging.2018.1.1.010503 , 2018. Scientific article
Joschua Thomas Simon-Liedtke; David R Flatla; Eskild Narum Bakken; Checklist for Daltonization methods: Requirements and characteristics of a good recolouring method IS&T International Symposium on Electronic Imaging Science and Technology, pp. 21 27 , doi: https://doi.org/10.2352/ISSN.2470-1173.2017.18.COLOR-029 , 2017. Scientific article
Joschua Thomas Simon-Liedtke; Ivar Farup; Reiner Eschbach; On the edge: A scalable daltonization method focusing chromatic edges and contrast IS&T International Symposium on Electronic Imaging Science and Technology, pp. 28 35 , doi: https://doi.org/10.2352/ISSN.2470-1173.2017.18.COLOR-030 , 2017. Scientific article
Joschua Thomas Simon-Liedtke; Ivar Farup; Using a behavioralmatch-To-samplemethod to evaluate color vision deficiency simulationmethods Color and Imaging Conference (CIC), pp. 106 114 , doi: https://doi.org/10.2352/issn.2169-2629.2017.32.106 , 2016. Scientific article
Joschua Thomas Simon-Liedtke; Ivar Farup; Using a behavioral match-to-sample method to evaluate color vision deficiency simulation methods Journal of Imaging Science and Technology, pp. 9 , doi: https://doi.org/10.2352/J.ImagingSci.Technol.2016.60.5.050409 , 2016. Scientific article
Joschua Thomas Simon-Liedtke; Ivar Farup; Evaluating color vision deficiency daltonization methods using a behavioral visual-search method Journal of Visual Communication and Image Representation, pp. 236 247 , doi: https://doi.org/10.1016/j.jvcir.2015.12.014 , 2016. Scientific article
Jan Terje Kvaløy; Linda Reiersølmoen Neef; Tests for the proportional intensity assumption based on the score process Lifetime Data Analysis, pp. 139 157 19 , 2004. Scientific article
Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; Journal of the Royal Statistical Society: Series C (Applied Statistics) Journal of the Royal Statistical Society: Series C (Applied Statistics) ORIGINAL ARTICLE Open Access A two-field geostatistical model combining point and areal observations—A case study of annual runoff predictions in the Voss area The Journal of the Royal Statistical Society, Series C (Applied Statistics), pp. 27 , doi: https://doi.org/10.1111/rssc.12492 , 2021. Scientific article
Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; Estimation of annual runoff by exploiting long-term spatial patterns and short records within a geostatistical framework Hydrology and Earth System Sciences (HESS), pp. 4109 4133 , doi: https://doi.org/10.5194/hess-24-4109-2020 , 2020. Scientific article
Martin Tveten; Which principal components are most sensitive in the change detection problem? Stat, doi: https://doi.org/10.1002/sta4.252 , 2019. Scientific article
Jonas Moss; Martin Tveten; kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels Journal of Open Source Software (JOSS), doi: https://doi.org/10.21105/joss.01566 , 2019. Scientific article
A. Grüss; A.R. Charsley; J.T. Thorson; O.F. Anderson; R.L. O'Driscoll; et al. Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models ICES Journal of Marine Science, vol. 80, pp. 1991 2007 16 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsad129 , 2023. Scientific article
Olav Nikolai Breivik; Geir Olve Storvik; Kjell Harald Nedreaas; Latent Gaussian models to predict historical bycatch in commercial fishery Fisheries Research, pp. 62 72 , doi: https://doi.org/10.1016/j.fishres.2016.09.033 , 2017. Scientific article
Olav Nikolai Breivik; Geir Olve Storvik; Kjell Harald Nedreaas; Latent gaussian models to decide on spatial closures for bycatch management in the barents sea shrimp fishery Canadian Journal of Fisheries and Aquatic Sciences, pp. 1271 1280 , doi: https://doi.org/10.1139/cjfas-2015-0322 , 2016. Scientific article
Till Halbach; Thomas R. Fischer; SNR scalability by coefficient refinement for hybrid video coding IEEE Signal Processing Letters, pp. 88 91 , doi: https://doi.org/10.1109/LSP.2005.861588 , 2006. Scientific article
Ivar Rummelhoff; Polynat in PER models Theoretical Computer Science, pp. 215 224 10 , 2004. Scientific article
Ivar Rummelhoff; Normal Domain Representations of Topological Spaces Mathematical logic quarterly, pp. 409 412 , 2001. Scientific article
Andrés Mora; Wilson Casallas; Richard A. Ketcham; Diego Gomez; Mauricio Parra; et al. Kinematic restoration of contractional basement structures using thermokinematic models: A key tool for petroleum system modeling American Association of Petroleum Geologists Bulletin, doi: https://doi.org/10.1306/04281411108 , 2015. Scientific article
Ariel Almendral-Vazquez; Wilmer Robles; Mauricio Parra; Andrés Mora; Richard A. Ketcham; et al. FetKin: Coupling kinematic restorations and temperature to predict thrusting, exhumation histories, and thermochronometric ages American Association of Petroleum Geologists Bulletin, pp. 1557 1573 , doi: https://doi.org/10.1306/07071411112 , 2015. Scientific article
Daniel Martin L Barker; Martin Landrø; An alternative method for modeling close-range interactions between air guns Geophysics, pp. 1 7 6 , doi: https://doi.org/10.1190/geo2013-0141.1 , 2014. Scientific article
Daniel Martin L Barker; Martin Landrø; Modeling close range air gun interactions using isosurfaces of the velocity potential Society of Exploration Geophysicists. Expanded Abstracts with Biographies, pp. 46 50 , doi: https://doi.org/10.1190/segam2013-0489.1 , 2013. Scientific article
Daniel Martin L Barker; Martin Landrø; Estimation of bubble time period for air-gun clusters using potential isosurfaces Geophysics, pp. P1 P7 7 , doi: https://doi.org/10.1190/GEO2012-0344.1 , 2013. Scientific article
Daniel Martin L Barker; Martin Landrø; Controlled source strength variation by changing the firing pressure - a sensitivity study for 4D calibration Geophysical Prospecting, pp. 480 487 8 , doi: https://doi.org/10.1111/j.1365-2478.2011.01044.x , 2012. Scientific article
Daniel Martin L Barker; Martin Landrø; Simple expression for the bubble-time period of two clustered air guns Geophysics, pp. A1 A3 3 , doi: https://doi.org/10.1190/GEO2011-0169.1 , 2012. Scientific article
Martin Landrø; Lasse Amundsen; Daniel Martin L Barker; High-frequency signals from air-gun arrays Geophysics, pp. Q19 Q27 9 , doi: https://doi.org/10.1190/1.3590215 , 2011. Scientific article
Margaretha Haugen; Kari Åse Homme; Astor Reigstad; Jens Teigland; Assessment of Nutritional Status in Patients with Rheumatoid Arthritis and Osteoarthritis Undergoing Joint Replacement Surgery Arthritis Care and Research, pp. 26 32 7 , doi: https://doi.org/10.1002/1529-0131(199902)12:1<26::AID-ART5>3.0.CO;2-%23 , 1999. Scientific article
Eyvind Aker; Daniela Kühn; Václav Vavryčuk; Magnus Soldal; Volker Oye; Experimental investigation of acoustic emissions and their moment tensors in rock during failure International Journal of Rock Mechanics And Mining Sciences, pp. 286 295 , doi: https://doi.org/10.1016/j.ijrmms.2014.05.003 , 2014. Scientific article