Line Eikvil

Alba Ordonez; Fredrik Andreas Dahl; Olav Brautaset; Line Eikvil; Unsupervised domain adaptation for breast cancer detection in a multi-scanner environment: A case-study from Norway 2025. Vitenskapelig foredrag

Performance of Two Deep Learning–based AI Models for Breast Cancer Detection and Localization on Screening Mammograms from BreastScreen Norway Radiology: Artificial Intelligence (RAI), vol. 7, (ISSN 2638-6100 ), doi: https://doi.org/10.1148/ryai.240039 , 2025. Vitenskapelig artikkel

Deep learning methods for acoustic target classification 2025. Annen presentasjon

Deep learning for marine acoustics: Leveraging data with strong, weak and no labels 2025. Faglig foredrag

Leveraging Data with Strong, Weak and No Labels in Marine Acoustics 2025. Poster

«In the 90s, everybody knew that AI didn't work.» Hvorfor hadde Sergey Brin rett da han sa det? , 2024. Programledelse

Fredrik Andreas Dahl; Olav Brautaset; Marit Holden; Line Eikvil; Marthe Larsen; et al. En to-trinns kunstig intelligens modell for deteksjon av brystkreft i mammogrammer 2024. Faglig foredrag

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Faglig foredrag

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Poster

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Detection of timing events in cardiac ultrasound 2024. Rapport

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with foundation models for cardiac ultrasound images 2024. Rapport

Fredrik Andreas Dahl; Line Eikvil; Amund Hansen Vedal; Training GCN on breast positioning using partially annotated mammograms 2023. Poster

Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Line Eikvil; Utilizing earlier images in mammography cancer detection 2023. Poster

Amund Hansen Vedal; Line Eikvil; Context-Aware Landmark Detection for 2D Cardiac Ultrasound using Graph Convnet 2023. Rapport

Fredrik Andreas Dahl; Line Eikvil; Amund Hansen Vedal; Training GCN on breast positioning using partially annotated mammograms 2023. Vitenskapelig foredrag

Olav Brautaset; Ingrid Utseth; Line Eikvil; Arnt-Børre Salberg; Nils Olav Handegard; Learning from weakly labelled marine acoustic data 2023. Poster

Olav Brautaset; Ingrid Utseth; Line Eikvil; Arnt-Børre Salberg; Nils Olav Handegard; Learning from weakly labelled marine acoustic data 2023. Vitenskapelig foredrag

Arnt-Børre Salberg; Line Eikvil; Out-of-distribution detection in deep neural networks applied to marine data 2023. Poster

A two-stage mammography classification model using explainable-AI for ROI detection Nordic Machine Intelligence (NMI), vol. 3, (ISSN 2703-9196 ), doi: https://doi.org/10.5617/nmi.10459 , 2023. Vitenskapelig artikkel

Fredrik Andreas Dahl; Line Eikvil; Ingunn Fride Tvete; Pierre Lison; Ildikó Pilán; et al. Helse-effektivisering - et mulig satsningsområde for NR 2023. Rapport

Amund Hansen Vedal; Line Eikvil; Marit Holden; Context-Aware Landmark Detection for 2D Cardiac Ultrasound using a Graph Convolution Network 2022. Poster

Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Line Eikvil; A mammography classification model trained from image labels only 2022. Poster

Alba Ordonez; Amund Hansen Vedal; Fredrik Andreas Dahl; Line Eikvil; Explainability and uncertainty for classification of mammograms 2022. Poster

Automatic Fish Age Determination across Different Otolith Image Labs Using Domain Adaptation Fishes, vol. 7, pp. 1 16 , (ISSN 2410-3888 ), doi: https://doi.org/10.3390/fishes7020071 , 2022. Vitenskapelig artikkel

Line Eikvil; Slik bruker vi norske mammogrammer for å utvikle et maskinlæringssystem 2022. Faglig foredrag

Line Eikvil; Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Solveig Sand-Hanssen Hofvind; et al. Procedures for mammographic screening with machine learning 2022. Rapport

Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Line Eikvil; Machine learning for screening mammography 2022. Rapport

A mammography classification model trained from image labels only Proceedings of the Northern Lights Deep Learning Workshop, (ISSN 2703-6928 ), doi: https://doi.org/10.7557/18.6244 , 2022. Vitenskapelig artikkel

Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Line Eikvil; A two-stage mammography classification model using XAI for ROI detection 2022. Poster

Amund Hansen Vedal; Line Eikvil; Marit Holden; Andrew Gilbert; Context-Aware Landmark Detection for 2D Cardiac Ultrasound using Graph Convnet 2022. Vitenskapelig foredrag

Ingrid Utseth; Alba Ordonez; Line Eikvil; Olav Brautaset; Arnt Børre Salberg; et al. Improving marine acoustic target classification with context information 2022. Poster

Fredrik Andreas Dahl; Amund Hansen Vedal; Line Eikvil; Analyzing breast positioning in mammograms with graph convolutional networks 2022. Vitenskapelig foredrag

Line Eikvil; Kristin Skeide Fuglerud; Dahl Fredrik; Till Halbach; Jarle Petterson; Kunstig intelligens avlaster travle spesialister , 2022. Intervju

Line Eikvil; Anders U. Waldeland; Daniel Martin L Barker; Marit Holden; Ragnar Hauge; et al. Deep learning in seismic interpretation, Development and experiments 2021-2022 2022. Rapport

Thordis Linda Thorarinsdottir; Thea Julie Thømt Roksvåg; Line Eikvil; Birdcam: Automatic monitoring of birds near wind parks 2022. Rapport

Line Eikvil; Marit Holden; Alba Ordonez; Machine learning for image-based interpretation of non-verbal communication - Initial version 2021. Rapport

Line Eikvil; Marit Holden; Lars Holden; Olav Brautaset; Machine learning for screening mammography 2021. Rapport

Semi-supervised target classification in multi-frequency echosounder data ICES Journal of Marine Science, vol. 78, pp. 2615 2627 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsab140 , 2021. Vitenskapelig artikkel

Nils Olav Handegard; Tonny Algrøy; Line Eikvil; Hege Hammersland; Maria Tenningen; et al. Smart Fisheries in Norway: Partnership between Science, Technology, and the Fishing Sector Journal of Ocean Technology, vol. 16, pp. 11 18 7 , (ISSN 1718-3200 1718-3219 ), , 2021. Fagartikkel

Machine Learning + Marine Science: Critical Role of Partnerships in Norway Journal of Ocean Technology, vol. 16, pp. 1 9 , (ISSN 1718-3200 1718-3219 ), , 2021. Fagartikkel

Robert Jenssen; Anne H Schistad Solberg; Line Eikvil; Norge er verdensledende på bildeanalyse med kunstig intelligens 2021. Intervju

Alba Ordonez; Line Eikvil; Marit Holden; Learning motion of seismic structures without human labelling 2021. Vitenskapelig foredrag

Alba Ordonez; Alf Harbitz; Bjarki Elvarsson; Line Eikvil; Arnt-Børre Salberg; Deep domain adaptation applied to automatic fish age prediction 2021. Vitenskapelig foredrag

Alba Ordonez; Ingrid Utseth; Line Eikvil; Nils Olav Handegard; Using model averaging ensembles in semantic segmentation of marine echosounder data for acoustic classification of species 2021. Vitenskapelig foredrag

Changkyu Choi; Michael Kampffmeyer; Nils Olav Handegard; Arnt Børre Salberg; Line Eikvil; et al. Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data 2021. Poster

Ingrid Utseth; Alba Ordonez; Line Eikvil; Olav Brautaset; Arnt-Børre Salberg; et al. Improving marine acoustic target classification with context information 2021. Poster

Line Eikvil; Deep Learning for Norwegian Breast Cancer Screening 2021. Faglig foredrag

Line Eikvil; Marit Holden; Alba Ordonez; Machine learning for image-based interpretation of non-verbal communication 2021. Rapport

Machine intelligence and the data-driven future of marine science ICES Journal of Marine Science, (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsz057 , 2020. Vitenskapelig artikkel

Acoustic classification in multifrequency echosounder data using deep convolutional neural networks ICES Journal of Marine Science, vol. 77, pp. 1391 1400 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsz235 , 2020. Vitenskapelig artikkel

Line Eikvil; Marit Holden; Lars Holden; Olav Brautaset; Machine learning for screening mammography - Initial analyses on a first limited dataset 2020. Rapport

Explaining decisions of deep neural networks used for fish age prediction PLOS ONE, vol. 15, (ISSN 1932-6203 ), doi: https://doi.org/10.1371/journal.pone.0235013 , 2020. Vitenskapelig artikkel

User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing IEEE Journal of Biomedical and Health Informatics, (ISSN 2168-2194 2168-2208 ), doi: https://doi.org/10.1109/JBHI.2020.3029392 , 2020. Vitenskapelig artikkel

Alba Ordonez; Line Eikvil; Arnt Børre Salberg; Alf Harbitz; Understanding a Neural Network by Visualization: Application to Fish Age Prediction 2020. Poster

Line Eikvil; Anders U. Waldeland; Daniel Martin L Barker; Marit Holden; Ragnar Hauge; et al. Deep learning in seismic interpretations - Development and experiments 2020 2020. Rapport

Line Eikvil; Alba Ordonez; Olav Brautaset; Feasibility study: Non-verbal communication interpreter - Image-based methodological approaches 2020. Rapport

Line Eikvil; Teknologien bak ansiktsgjenkjenning 2020. Faglig foredrag

Line Eikvil; Applying AI and ML to images 2020. Faglig foredrag

Line Eikvil; Norske forskere utvikler en ny metode for å finne brystkreft 2020. Intervju

Line Eikvil; Google har utviklet kunstig intelligens som gjenkjenner brystkreft bedre enn radiologer - Kreftregisteret og Norsk Regnesentral lager norsk variant 2020. Intervju

Arnt Børre Salberg; Line Eikvil; The COGMAR project: Ubiquitous cognitive computer vision for marine services 2019. Faglig foredrag

Line Eikvil; Marit Holden; Maskinlæring i mammografiprogrammet 2019. Faglig foredrag

Andrew David Gilbert; Marit Holden; Line Eikvil; Svein Arne Aase; Eigil Samset; et al. Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach Lecture Notes in Computer Science (LNCS), vol. 11798 LNCS, pp. 29 37 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-030-32875-7_4 , 2019. Vitenskapelig artikkel

Arnt Børre Salberg; Line Eikvil; Ketil Malde; Nils Olav Handegard; The COGMAR project 2019. Vitenskapelig foredrag

Sean Meling Murray; Line Eikvil; Arnt Børre Salberg; Automatic interpretation of otoliths with deep learning - explaining predictions 2019. Rapport

Alba Ordonez; Line Eikvil; Arnt Børre Salberg; Visualization of deep neural networks applied to fish age prediction 2019. Rapport

Line Eikvil; Marit Holden; Ragnar Hauge; Vegard Berg Kvernelv; Estimation of rock cuttings size from images 2019. Rapport

Line Eikvil; Marit Holden; Deep learning for ultrasound images - next steps 2019. Rapport

Line Eikvil; Anders U. Waldeland; Marit Holden; Arnt Børre Salberg; Ragnar Hauge; et al. Deep learning in seismic interpretation 2019. Rapport

Line Eikvil; Lars Holden; Bruk av Deep learning and Big Data i Mammografiprogrammet 2018. Faglig foredrag

Line Eikvil; Intelligent og automatisk bildeanalyse med deep learning 2018. Faglig foredrag

Line Eikvil; Intelligent og automatisk bildeanalyse med deep learning 2018. Populærvitenskapelig foredrag

Line Eikvil; Marit Holden; Deep learning for ultrasound images 2018. Rapport

Line Eikvil; Arnt Børre Salberg; En revolusjon innen maskinlæring Teknisk Ukeblad, (ISSN 0040-2354 ), 2016. Kronikk

Arnt Børre Salberg; Line Eikvil; Deep learning: a powerful tool to solve your computer vision problems 2016. Vitenskapelig foredrag

Arnt Børre Salberg; Line Eikvil; Deep learning 2016. Vitenskapelig foredrag

Arnt Børre Salberg; Line Eikvil; Deep learning: machine learning meets big data 2016. Vitenskapelig foredrag

Line Eikvil; Bruk av MR-bilder for estimering av skjelettalder. 2016. Rapport

Line Eikvil; Marit Holden; Fjerning av støy fra historiske dokumenter 2016. Rapport

Marion Haugen; Line Eikvil; Ingunn Fride Tvete; Sigrid Ingeborg Kvaal; Development of improved methods or basis for medical age assessments of minors and young adults , 2016. Rapport

Line Eikvil; Tor-Kristian Jenssen; Marit Holden; Multi-focus cluster labeling Journal of Biomedical Informatics, vol. 55, pp. 116 123 , (ISSN 1532-0464 1532-0480 ), doi: https://doi.org/10.1016/j.jbi.2015.03.012 , 2015. Vitenskapelig artikkel

Line Eikvil; Marit Holden; Bruk av fargedeskriptorer for gjenkjenning av ukeblader 2015. Rapport

Line Eikvil; Marit Holden; Utvalg av deskriptorer for oppbygging av database 2015. Rapport

Line Eikvil; Marit Holden; Verifikasjon av strekkoder 2015. Rapport

Line Eikvil; Marit Holden; Evaluation of Binary Descriptors for Fast and Fully Automatic Identification International Conference on Pattern Recognition, pp. 154 159 , (ISSN 1051-4651 ), doi: https://doi.org/10.1109/ICPR.2014.36 , 2014. Vitenskapelig artikkel

Line Eikvil; Marit Holden; Evaluation of binary descriptors for fast and fully automatic identification 2014. Vitenskapelig foredrag

Lars Holden; Line Eikvil; Marit Holden; Svetlana Boudko; Historisk informasjon fra avisarkiv 2014. Rapport

Line Eikvil; Marit Holden; Robust klassifikasjon av ukeblader 2014. Rapport

Siri Øyen Larsen; Arnt Børre Salberg; Line Eikvil; Automatic system for operational traffic monitoring using very-high-resolution satellite imagery International Journal of Remote Sensing, vol. 34, pp. 4850 4870 21 , (ISSN 0143-1161 1366-5901 ), doi: https://doi.org/10.1080/01431161.2013.782708 , 2013. Vitenskapelig artikkel

Marion Haugen; Line Eikvil; André Teigland; Sigrid Ingeborg Kvaal; Jens Grøgaard; Age estimation - Methodological challenges and agreement assessment 2013. Vitenskapelig foredrag

Line Eikvil; Marit Holden; Descriptors and matching for real-time recognition of planar and curved objects 2013. Rapport

Line Eikvil; Marit Holden; Metoder og programmer for gjenkjenning av ukeblader 2013. Rapport

Line Eikvil; Gjenkjenning av håndskrevne tall fra folketellingsskjemaer fra 1891 2013. Rapport

Line Eikvil; Arnt Børre Salberg; Signal and image processing for ultrasound camera 2013. Rapport

André Teigland; Line Eikvil; Marion Haugen; 18 or not? Age estimation - methodological challenges 2012. Vitenskapelig foredrag

Line Eikvil; Sigrid Ingeborg Kvaal; André Teigland; Marion Haugen; Jens Grøgaard; Age estimation in youths and young adults. A summary of the needs for methodological research and development , 2012. Rapport

Marit Holden; Line Eikvil; Detecting beads in time series of DNA-sequencing images 2012. Rapport

Siri Øyen Larsen; Arnt Børre Salberg; Line Eikvil; SatTrafikk Project report 2011 , 2012. Rapport

Line Eikvil; Marit Holden; Detectors and descriptors for real-time recognition of planar objects 2012. Rapport

Line Eikvil; Siri Øyen Larsen; Arnt-Børre Salberg; Automated extraction of traffic information from satellite imagery pp. 5 8 , , 2011. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Line Eikvil; Automatisk analyse av folketellingsskjemaer 2011. Rapport

Line Eikvil; Marit Holden; Efficient search for biomedical information 2011. Rapport

Sigrid Ingeborg Kvaal; Line Eikvil; Marit Holden; Bildeanalyse av røntgenbilder til hjelp for aldersvurdering , 2011. Rapport

Arnt Børre Salberg; Siri Øyen Larsen; Kristian Myrhaug; Rune Solberg; Line Eikvil; et al. Plan for operasjonalisering av SatTrafikk-systemet i 2012-2013 2011. Rapport

André Teigland; Line Eikvil; Elisabeth Orskaug; The role of statistical methods 2010. Vitenskapelig foredrag

Line Eikvil; Arnt-Børre Salberg; Øivind Thorvald Due Trier; Experiments on Landsat scene 227-062 in Brazil , 2010. Vitenskapelig foredrag

Line Eikvil; Methods for analysis of handwritten historical documents 2010. Rapport

Line Eikvil; Lars Holden; Kåre Bævre; Automatiske metoder som hjelp til transkribering av historiske kilder 2010. Rapport

Arnt-Børre Salberg; Line Eikvil; Kjell Johansen; Sigmund Fredriksen; SatTrafikk 2010 - Operasjonelt scenario 2010. Rapport

Arnt-Børre Salberg; Line Eikvil; SatTrafikk-Project report 2010 , 2010. Rapport

Bjørn Wangensteen; Jostein Amlien; Hans Koren; Line Eikvil; Rune Solberg; SnowLab Software Documentation 2010. Rapport

Adaptive registration of remote sensing images using supervised learning Photogrammetric Engineering and Remote Sensing, vol. 75, pp. 1297 1306 , (ISSN 0099-1112 ), , 2009. Vitenskapelig oversiktsartikkel/review

Line Eikvil; Hans Koren; Lars Aurdal; Classification-based vehicle detection in high-resolution satellite images ISPRS Journal of Photogrammetry and Remote Sensing (P&RS), vol. 64, pp. 65 72 8 , (ISSN 0924-2716 1872-8235 ), doi: https://doi.org/10.1016/j.isprsjprs.2008.09.005 , 2009. Vitenskapelig artikkel

Line Eikvil; Marit Holden; Ragnar Bang Huseby; A system for adaptive image registration based on supervised learning , 2009. Vitenskapelig foredrag

Jostein Amlien; Hans Koren; Line Eikvil; Rune Solberg; SnowLab - A system for automated snow product generation - Software documentation , 2009. Rapport

Line Eikvil; Strekkodelesere for mobiltelefon 2009. Rapport

Line Eikvil; Ukebladsortering - vurdering av metoder 2009. Rapport

Line Eikvil; Marit Holden; Ragnar Bang Huseby; MIR - Multiple Image Registration, Technical Documentation 2009. Rapport

Line Eikvil; Marit Holden; Ragnar Bang Huseby; MIR - Multiple Image Registration, Software Documentation 2009. Rapport

Line Eikvil; Hans Koren; Marit Holden; Vehicle Detection in High-Resolution Satellite Images , 2008. Vitenskapelig foredrag

Line Eikvil; Marit Holden; Ragnar Bang Huseby; Adaptive Co-Registration of Remote Sensing Images , 2008. Vitenskapelig foredrag

Lars Aurdal; Line Eikvil; Jostein Amlien; Rune Solberg; Building detection - Methods and software 2008. Rapport

Viktor Kaufmann; Wolfgang Sulzer; Jostein Amlien; Lars Aurdal; Line Eikvil; et al. Proceedings of the 9th International Symposium on High Mountain Remote Sensing Cartography Ukjent, vol. 43, pp. 109 112 4 , 2007. Vitenskapelig artikkel

Lars Aurdal; Line Eikvil; Jostein Amlien; Rune Solberg; Building detection - Internal note on experiments and software 2007. Rapport

Jostein Amlien; Line Eikvil; Hans Koren; Rune Solberg; Integrated Project geoland - Final Period Activity Report 2004-2006 (Editor A.Kaptein, Infoterra GmbH) 2007. Rapport

Lars Aurdal; Line Eikvil; Hans Koren; Jan Usterud Hanssen; Kjell Johansen; et al. Road Traffic Snapshot (ISSN 978-82-539-0525-9 ), , 2007. Rapport

Jostein Amlien; Lars Aurdal; Line Eikvil; Ragnar Bang Huseby; Hans Koren; et al. Snow and Vegetation Monitoring in the Scandinavian Mountains 2006. Poster

Rune Solberg; Jostein Amlien; Hans Koren; Line Eikvil; Eirik Malnes; et al. Multi-sensor/multi-temporal approaches for snow cover area monitoring Ukjent, , 2006. Vitenskapelig artikkel

Line Eikvil; Per Ove Husøy; Alessandro Ciarlo; Adaptive Image Registration 2006. Vitenskapelig foredrag

Jostein Amlien; Hans Koren; Line Eikvil; Rune Solberg; SnowLab - A system for automated snow product generation - Software documentation , 2006. Rapport

Line Eikvil; Per Ove Husøy; Alessandro Ciarlo; Adaptive Image Registration Ukjent, 2005. Vitenskapelig artikkel

Rune Solberg; Jostein Amlien; Hans Koren; Line Eikvil; Eirik Malnes; et al. Multi-sensor/multi-temporal approaches for snow cover area monitoring Ukjent, 2005. Vitenskapelig artikkel

Ragnar Bang Huseby; Lars Aurdal; Line Eikvil; Rune Solberg; Dagrun Vikhamar Schuler; et al. Alignment of growth seasons from satellite data pp. 213 216 , doi: https://doi.org/10.1109/AMTRSI.2005.1469875 , 2005. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Lars Aurdal; Ragnar Bang Huseby; Line Eikvil; Rune Solberg; Dagrun Vikhamar Schuler; et al. Use of hidden Markov models and phenology for multitemporal satellite image classification: applications to mountain vegetation classification pp. 220 224 , doi: https://doi.org/10.1109/AMTRSI.2005.1469877 , 2005. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Anders Rognes; Rune Solberg; Jostein Amlien; Hans Koren; Line Eikvil; et al. Satellite based snow monitoring for hydropower production and trade in Norway - – results versus operational needs , 2005. Vitenskapelig foredrag

Line Eikvil; Per Ove Husøy; MIR - Multiple Image Registration - Software Documentation 2005. Rapport

Line Eikvil; Per Ove Husøy; MIR - Multiple Image Registration - Method Descriptions 2005. Rapport

Rune Solberg; Jostein Amlien; Hans Koren; Line Eikvil; Eirik Malnes; et al. Multi-sensor/multi-temporal analysis of ENVISAT data for snow monitoring Ukjent, , 2004. Vitenskapelig artikkel

Multi-sensor and time-series approaches for monitoring of snow parameters pp. 1661 1666 , doi: https://doi.org/10.1109/IGARSS.2004.1370649 , 2004. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Line Eikvil; Med deg selv som adgangskort Ukjent, 2003. Leserinnlegg

Forskningsdagene 2003: Hvilken kjendis ligner du på? 2003. Programdeltagelse

Line Eikvil; Ansiktsgjenkjenning 2003. Vitenskapelig foredrag

Hans Koren; Line Eikvil; Rune Solberg; Vurdering av MODIS og AVHRR for beregning av snødekning 2003. Rapport

Line Eikvil; Digital trynefaktor ComputerWorld Norge, (ISSN 1501-6595 ), 2002. Leserinnlegg

Line Eikvil; Likner du på en kjendis? Ukjent, 2002. Leserinnlegg

Line Eikvil; Finn din kjendis Ukjent, 2002. Leserinnlegg

Line Eikvil; Trynefaktoren Ukjent, 2002. Leserinnlegg

Forskningsdagene - Hvilken kjendis ligner du på? 2002. Programdeltagelse

Line Eikvil; Ragnar Bang Huseby; Mønstergjenkjenning i bildesekvenser 2002. Vitenskapelig foredrag

Line Eikvil; Geir Olve Storvik; Segmentation of crate contours 2002. Rapport

Line Eikvil; Vurdering av OCR-system for lesing av bilskilt 2002. Rapport

Line Eikvil; Ragnar Bang Huseby; Pattern Recognition in Music , 2002. Rapport

Line Eikvil; Teksturmål for defektdeteksjon 2002. Rapport

Line Eikvil; Ragnar Bang Huseby; Traffic Surveillance in Real-time usingb Hidden Markov Models Ukjent, 2001. Vitenskapelig artikkel

Biometri (i Verdt å vite) 2001. Programdeltagelse

Line Eikvil; 2001: Hvor godt kan HAL se? 2001. Vitenskapelig foredrag

Line Eikvil; Gjenkjenning av ansikter 2001. Populærvitenskapelig foredrag

Line Eikvil; 2001: Hvor godt kan HAL se ? 2001. Populærvitenskapelig foredrag

Line Eikvil; Anders Moen; Øivind Skare; Ingvar Tjøstheim; Lars Thore Aarhus; Forskning på NR 2001: Rapport fra FANR/NTL forskningskomiteen 2001. Rapport

Line Eikvil; Kjersti Aas; Pattern recognition in text documents 2000. Vitenskapelig foredrag

Kjersti Aas; Line Eikvil; Example-based search for tourism information 2000. Rapport

Kjersti Aas; Line Eikvil; Speech-driven facial animation 2000. Rapport

Line Eikvil; Deformable models , 2000. Rapport

Line Eikvil; Video analysis of sign language , 2000. Rapport

Kjersti Aas; Line Eikvil; Ragnar Bang Huseby; Applications of hidden Markov chains in image analysis Pattern Recognition, vol. 32, pp. 703 713 11 , (ISSN 0031-3203 1873-5142 ), 1999. Vitenskapelig artikkel

Kjersti Aas; Line Eikvil; Fish biomass estimation using video-based measurement techniques: A feasibility study 1999. Rapport

Kjersti Aas; Line Eikvil; Text categorisation - A survey (ISSN 82-539-0425-8 ), 1999. Rapport

Line Eikvil; Information Extraction from World Wide Web - A Survey (ISSN 82-539-0429-0 ), 1999. Rapport

Kjersti Aas; Line Eikvil; News Filtering 1999. Rapport

Line Eikvil; Marit Holden; Anne H. Schistad Solberg; Seismic Attribute Analysis, Part IV 1999. Rapport

Kjersti Aas; Line Eikvil; Automatic wrapper generation: A preliminary study 1999. Rapport

Kjersti Aas; Line Eikvil; Decoding bar codes from human-readable characters Pattern Recognition Letters, vol. 18, pp. 1519 1527 9 , (ISSN 0167-8655 1872-7344 ), 1998. Vitenskapelig artikkel

Line Eikvil; Kjersti Aas; Kroppen gir deg adgang Teknisk Ukeblad, vol. 145, pp. 22 23 2 , (ISSN 0040-2354 ), 1998. Populærvitenskapelig artikkel

Line Eikvil; Biometri - hva er det og hvordan virker det? 1998. Vitenskapelig foredrag

André Teigland; Line Eikvil; Bent Foyn; Anders Kluge; Hvordan kan multimedia brukes som informasjonsstøtte i kritiske situasjoner 1998. Vitenskapelig foredrag

Line Eikvil; Studie av fingeravtrykk 1998. Rapport

Line Eikvil; Ragnar Bang Huseby; Videobasert bildeteksjon 1998. Rapport

Jan Roger Sandbakken; Jon Haugsand; Line Eikvil; API'er og sertifiseringsordninger for biometriske produkter 1998. Rapport

Line Eikvil; Mari Thune; Video and motion analysis - An overview - 1998. Rapport

Kjersti Aas; Line Eikvil; An intelligent agent for filtering of online newspaper articles 1998. Rapport

Kjersti Aas; Line Eikvil; Reading bar codes from low resolution images Ukjent, 1997. Populærvitenskapelig artikkel

Line Eikvil; Bent Foyn; Hilde M. Lovett; Dag Solvoll; Tryggve Einar Sørensen; et al. Transmission of digital real-time video over ATM networks, Applied at alarm trigged video surveillance (ISSN 82-539-0432-0 ), 1997. Rapport

Kjersti Aas; Line Eikvil; Uttesting av metode for strekkodedeteksjon 1997. Rapport

Kjersti Aas; Line Eikvil; A survey on: Content-based access to image and video databases (ISSN 82-539-0433-9 ), 1997. Rapport

Line Eikvil; Terrain generator 1997. Rapport

Kjersti Aas; Line Eikvil; An intelligent news agent 1997. Rapport

Kjersti Aas; Line Eikvil; Text page recognition using grey level features and hidden Markov models Pattern Recognition, vol. 29, pp. 977 985 9 , (ISSN 0031-3203 1873-5142 ), 1996. Vitenskapelig artikkel

Kjersti Aas; Line Eikvil; Otto Milvang; Automatic can separation Ukjent, vol. III, pp. 954 954 , 1996. Vitenskapelig artikkel

Kjersti Aas; Line Eikvil; Tove Andersen; Text recognition from grey level images using hidden Markov models Ukjent, 1996. Populærvitenskapelig artikkel

Line Eikvil; Datafangst med fjernmåling for ajourføring av geografisk informasjon 1996. Vitenskapelig foredrag

Kjersti Aas; Line Eikvil; Reading bar codes from low resolution images 1996. Rapport

Kjersti Aas; Line Eikvil; Dag Bremnes; Andreas Nordbryhn; Automatic classification of bottles in crates Ukjent, 1995. Vitenskapelig artikkel

Line Eikvil; Kjersti Aas; Hans Koren; Tools for interactive map conversion and vectorization Ukjent, vol. 2, pp. 927 930 4 , 1995. Vitenskapelig artikkel

Kjersti Aas; Line Eikvil; Tove Andersen; Text recognition from grey level images using hidden Markov models Lecture Notes in Computer Science (LNCS), vol. 970, pp. 503 508 , (ISSN 0302-9743 1611-3349 ), 1995. Vitenskapelig artikkel

Line Eikvil; Kjersti Aas; Marit Holden; Automatic recognition of character strings in maps Ukjent, 1995. Vitenskapelig artikkel

Kjersti Aas; Line Eikvil; Dagens Sherlock Holmes Teknisk Ukeblad, (ISSN 0040-2354 ), 1995. Populærvitenskapelig artikkel

Kjersti Aas; Tove Andersen; Line Eikvil; Hans Koren; Jørn Lyseggen; Videoanalyse Teknisk Ukeblad, (ISSN 0040-2354 ), 1995. Populærvitenskapelig artikkel

Kjersti Aas; Line Eikvil; Bar code localization 1995. Rapport

Kjersti Aas; Line Eikvil; Otto Milvang; Automatic can separation 1995. Rapport

Line Eikvil; Harald H. Erichsen; Nye veier i kartdatafangst Kart og Plan, vol. 54, (ISSN 0047-3278 2535-6003 ), 1994. Populærvitenskapelig artikkel

Line Eikvil; Hans Koren; Kjersti Aas; Theory and methods for filtering of lines 1994. Rapport

Line Eikvil; Kjersti Aas; Theory and methods for classification of single raster symbols 1994. Rapport

Line Eikvil; Hans Koren; Kjersti Aas; Theory and methods for digitizing of areas 1994. Rapport

Kjersti Aas; Dag Bremnes; Line Eikvil; Ragnar Bang Huseby; Jørn Lyseggen; Classification of bottles in crates 1994. Rapport

Marit Holden; Line Eikvil; Geir Storvik; Methods for updating of model parameters applied within the area of symbol recognition Ukjent, 1993. Vitenskapelig artikkel

Marit Holden; Line Eikvil; Geir Olve Storvik; Methods for updating of model parameters applied within the area of symbol recognition 1993. Vitenskapelig foredrag

Line Eikvil; Symbolgjenkjenning og interaktiv vektorisering i rasterbilder 1993. Vitenskapelig foredrag

Line Eikvil; OCR - Hvor langt har teknologien kommet? 1993. Vitenskapelig foredrag

Kjersti Aas; Line Eikvil; Hans Koren; Jorunn B. Olafsdottir; Recognition of degraded symbols using hidden Markov models (ISSN 9788253903699 ), 1993. Rapport

Line Eikvil; OCR - Optical Character Recognition 1993. Rapport

Line Eikvil; Kjersti Aas; Theory and methods for grouping and syntax analysis 1993. Rapport

Line Eikvil; Hans Koren; Kjersti Aas; Theory and methods for Interactive Digitizing of lines 1993. Rapport

Kjersti Aas; Line Eikvil; Ragnar Bang Huseby; Recognition of objects in coregistered images - preparations for practical use 1993. Rapport

Jorunn B. Olafsdottir; Line Eikvil; Tolkning og analyse av geografisk informasjon (ISSN 82-539-0363-4 ), 1993. Rapport

Line Eikvil; Jorunn B. Olafsdottir; Marie Stugaard; Arvid Lundervold; Gjenkjenning av flytmønstre fra Doppler ultralyd bilder 1992. Vitenskapelig foredrag

Line Eikvil; Marit Holden; Geir Olve Storvik; Methods for updating of model parameters applied within the area of symbol recognition (ISSN 82-539-0352-9 ), 1992. Rapport

Line Eikvil; Jorunn B. Olafsdottir; Marie Stugaard; Arvid Lundervold; Recogition of flow pattern in Doppler ultrasound images 1992. Rapport

Line Eikvil; Filtrering av simulerte data fra geologiske lag 1992. Rapport

Line Eikvil; Torfinn Taxt; Simultaneous recognition of class and rotation angle of raster symbols Ukjent, vol. 1, pp. 461 468 8 , 1991. Vitenskapelig artikkel

Line Eikvil; Torfinn Taxt; Knut Moen; An adaptive method for binarization of grey level images Ukjent, 1991. Vitenskapelig artikkel

Line Eikvil; Torfinn Taxt; Knut Moen; A fast adaptive method for binarization of document images Ukjent, 1991. Vitenskapelig artikkel

Line Eikvil; Katrine Weisteen; Segmentering i raster ved bruk av elliptiske Fourier deskriptorer 1991. Rapport

Torfinn Taxt; Nils Lid Hjort; Line Eikvil; Recognition of handwritten symbols Ukjent, vol. 23, pp. 1155 1166 12 , 1990. Populærvitenskapelig artikkel

Line Eikvil; Hans Koren; Automatisk avlesing av målebrev 1990. Rapport

Torfinn Taxt; Line Eikvil; Nils Lid Hjort; Statistical classification using mixures of multinormal densities Ukjent, 1989. Vitenskapelig artikkel

Line Eikvil; Jorunn B. Olafsdottir; Torfinn Taxt; Automatisk avlesing av bilskilt : et forprosjekt utført for NTNF (ISSN 82-539-0323-5 ), 1989. Rapport