A two-stage mammography classification model using XAI for ROI detection 2022. Poster

Seismic analogy retrieval: preliminary study 2022. Poster

Improving marine acoustic target classification with context information 2022. Poster

Automatic detection of seal pups on ice from aerial images 2022. Poster

Automatic building-change detection in aerial images 2022. Poster

News from Norway 2022. Poster

Centre for research based innovation in marine acoustic abundance estimation and backscatter classification (CRIMAC) 2023. Poster

Explaining Marine Acoustic Target Classification in Multi-channel Echosounder Data using Self-attention Mask, Information-Bottleneck, and Mask Prior 2022. Poster

Estimating extreme areal precipitation from gridded data products 2023. Poster

Characterization of Putative Virulence Factors in Enterococcus faecium 2023. Poster

Searching for Similar Seismic Structures Using Transformer-based Masked Autoencoders 2023. Poster

Training GCN on breast positioning using partially annotated mammograms 2023. Poster

Utilizing earlier images in mammography cancer detection 2023. Poster

Risk Prediction of Diabetic Retinopathy in the Tromsø Study 2023. Poster

Risk Prediction of Diabetic Retinopathy in the Tromsø Study 2023. Poster

Deep Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data 2023. Poster

Aerial Gym - Isaac Gym Simulator for Aerial Robots 2023. Poster

Learning from weakly labelled marine acoustic data 2023. Poster

Ida Välikangas Rautio; Fredrik Nevjen; Benjamin Adric Dunn; Jonathan Whitlock; General and context-specific tuning in the rat medial prefrontal cortex 2022. Poster

Ida Välikangas Rautio; Fredrik Nevjen; David Klindt; Benjamin Adric Dunn; Jonathan Whitlock; Task-dependent ensemble coding in rat medial prefrontal cortex 2022. Poster

Ida Välikangas Rautio; Fredrik Nevjen; David Klindt; Benjamin Adric Dunn; Jonathan Whitlock; Task-dependent ensemble coding in rat medial prefrontal cortex 2022. Poster

Sarina Thomas; Børge Solli Andreassen; Cristiana Ferreira Tiago; Svein Arne Aase; Erik Normann Steen; et al. Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach 2023. Poster

Marius Aasan; Adín Ramírez Rivera; Odd Kolbjørnsen; Anne H Schistad Solberg; An Information Metric for Partitions on Images using Lattice Theoretic Entropy 2022. Poster

Stine Myhre Hverven; Andreas Austeng; Anne H Schistad Solberg; Adaptive Beamforming on Muscle Fiber Features 2016. Poster

Stine Myhre Hverven; Andreas Austeng; Anne H Schistad Solberg; Adaptive Beamforming on Muscle Fiber Features 2016. Poster

Silius Mortensønn Vandeskog; Sara Martino; Raphaël Huser; Robust Modelling of high-dimensional spatial conditional extremes 2023. Poster

Caitlin Mandeville; Kwaku Peprah Adjei; Jan Borgelt; Benjamin Cretois; Wouter Koch; et al. Transforming citizen science for biodiversity 2019. Poster

Caitlin Mandeville; Jan Borgelt; Benjamin Cretois; Wouter Koch; Jorge Sicacha Parada; Transforming citizen science for biodiversity 2019. Poster

Joe Viana; Tone Breines Simonsen; Kari Flo; Nina Schmidt; Fredrik Andreas Dahl; Using a hybrid DES-AB simulation model to improve patient flow in an overdue pregnancy outpatient clinic 2018. Poster

Kashif Waqar Faiz; Angela Susan Labberton; Bente Thommessen; Ole M. Rønning; Fredrik Andreas Dahl; et al. THE BURDEN OF STROKE MIMICS - THE PRESENT AND FUTURE PROJECTIONS 2017. Poster

Tone Breines Simonsen; Hildegunn E. Faraas; Nina Schmidt; Joe Viana; Fredrik Andreas Dahl; Is it possible to plan and improve patient flow in a post term pregnancy clinic? 2017. Poster

Tone Breines Simonsen; Joe Viana; Fredrik Andreas Dahl; How do we meet tomorrow’s needs for health care? 2016. Poster

Fredrik Andreas Dahl; Pål Gulbrandsen; Eliciting decision weights from clinicians 2006. Poster

Fredrik Andreas Dahl; Pål Gulbrandsen; Eliciting decision weights from clinicians 2006. Poster

Fredrik Andreas Dahl; Pål Gulbrandsen; IT-based experience support for clinicians 2006. Poster

Fredrik Andreas Dahl; Pål Gulbrandsen; IT-based experience support for clinicians 2006. Poster

Torstein Mæland Fjeldstad; Jo Eidsvik; Approximate Bayesian inference of model parameters in convolved hidden Markov models - with an application to seismic data 2018. Poster

Torstein Mæland Fjeldstad; Henning Omre; Convolved hidden Markov models for well-log inversion 2015. Poster

Harald Lykke Joakimsen; Iver Martinsen; Luigi Tommaso Luppino; Robert Jenssen; "Explainable" IceNet with backpropagated gradients 2023. Poster

Ingunn Tvete; Geir Olve Storvik; Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time model 2006. Poster

Ivar Andreas Aursnes; Ingunn Tvete; Jørund Gåsemyr; Bent Natvig; Differential clinical effects of anti-hypertensive drugs 2002. Poster

Aliaksandr Hubin; Geir Olve Storvik; Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty 2022. Poster

Jon Lachmann; Geir Olve Storvik; Florian Frommlet; Aliaksandr Hubin; A subsampling approach for Bayesian model selection 2022. Poster

Theodor Anton Ross; Anna Kaarina Pöntinen; Jessin Janice; Einar Holsbø; Jukka Corander; et al. Leveraging machine learning for finding novel putative virulence factors in Enterococcus faecium 2022. Poster

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 2022. Poster

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 2022. Poster

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

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

Changkyu Choi; Michael Kampffmeyer; Robert Jenssen; A Robustness Analysis of Personalized Propagation of Neural Prediction , 2020. Poster

Changkyu Choi; Filippo Maria Bianchi; Michael Kampffmeyer; Robert Jenssen; Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks , 2020. Poster