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Øyvind Nordbø

Observed names: Nordbø, Øyvind, Oyvind Nordbo, Ø Nordbø, Ø. Nordbø, Ø. Nordbø1,
ORCID: 0000-0002-7000-1055
Observed ORCID: 0000-0002-7000-1055
OpenAlex ID: A5000912093
OpenCMISS: A multi-physics & multi-scale computational infrastructure for the VPH/Physiome project
2011 · Chris Bradley, Andy Bowery, et al. · Progress in Biophysics and Molecular Biology · 142
Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds
2020 · Irene van den Berg, Ruidong Xiang, et al. · Genetics Selection Evolution · 83
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Effects of heterozygosity on performance of purebred and crossbred pigs
2019 · Maja Winther Iversen, Øyvind Nordbø, et al. · Genetics Selection Evolution · 66
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Using markers with large effect in genetic and genomic predictions1
2017 · M. S. Lopes, H. Bovenhuis, et al. · Journal of Animal Science · 46
Methodology for CO2 chain analysis
2008 · J.P. Jakobsen, G. Tangen, et al. · International journal of greenhouse gas control · 22
Analyzing Data Modalities for Cattle Weight Estimation Using Deep Learning Models
2024 · Hina Afridi, Mohib Ullah, et al. · Journal of Imaging · 19
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Scenario for large-scale implementation of CCS in Europe
2009 · Ton Wildenborg, Paula Coussy, et al. · Energy Procedia · 18
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Optimized Deep-Learning-Based Method for Cattle Udder Traits Classification
2022 · Hina Afridi, Mohib Ullah, et al. · Mathematics · 15
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A computational pipeline for quantification of mouse myocardial stiffness parameters
2014 · Øyvind Nordbø, Pablo Lamata, et al. · Computers in Biology and Medicine · 14
Neural network firing-rate models on integral form: Effects of temporal coupling kernels on equilibrium-state stability
2007 · Øyvind Nordbø, John Wyller, et al. · Biological Cybernetics · 13
Correcting for base-population differences and unknown parent groups in single-step genomic predictions of Norwegian Red cattle
2022 · Tesfaye K Belay, Leiv S Eikje, et al. · Journal of Animal Science · 11
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Accuracy of genomic prediction of maternal traits in pigs using Bayesian variable selection methods
2022 · Maria V. Kjetså, Arne B. Gjuvsland, et al. · Journal of Animal Breeding and Genetics · 10
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Level-biases in estimated breeding values due to the use of different SNP panels over time in ssGBLUP
2019 · Øyvind Nordbø, Arne B. Gjuvsland, et al. · Genetics Selection Evolution · 9
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Multi-Encoder Convolution Block Attention Model for Binary Segmentation
2022 · Keita Mamadou, Mohib Ullah, et al. · International Conference on Frontiers of Information Technology (FIT) · 7
The genetic correlation between scapula shape and shoulder lesions in sows1
2018 · Ø Nordbø, L E Gangsei, et al. · Journal of Animal Science · 7
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Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking
2023 · C. B. Dev Narayan, Fayaz Rahman, et al. · IFIP advances in information and communication technology · 6
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A high-throughput study of visceral organs in CT-scanned pigs
2022 · Øyvind Nordbø, Rune Sagevik, et al. · Scientific Reports · 6
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Deep learning based udder classification for cattle traits analysis
2022 · Hina Afridi, Mohib Ullah, et al. · Electronic Imaging · 6
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Predicting survival and longevity of sows using purebred and crossbred data1
2020 · Maja W Iversen, Øyvind Nordbø, et al. · Translational Animal Science · 6
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The effect of including genomic relationships in the estimation of genetic parameters of functional traits in pigs
2015 · T. Aasmundstad, I. Andersen‐Ranberg, et al. · Journal of Animal Breeding and Genetics · 6
Multi-Object Keypoint Detection and Pose Estimation for Pigs
2025 · Qinghua Guo, Dawei Pei, et al. · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) · 3
A computer algorithm for scoring cow teats based on udder images
2024 · Chong Sheng Chuah, Øyvind Nordbø, et al. · New Zealand Journal of Agricultural Research · 3
Multi‐trait genomic prediction in pigs using single and multistep methods based on the absorption of ungenotyped animals
2023 · Tu Luan, Øyvind Nordbø, et al. · Journal of Animal Breeding and Genetics · 3
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Deep learning–based automated measurements of the scrotal circumference of Norwegian Red bulls from 3D images
2022 · Joanna Bremer, Michał Maj, et al. · Smart Agricultural Technology · 3
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Towards causally cohesive genotype–phenotype modelling for characterization of the soft-tissue mechanics of the heart in normal and pathological geometries
2015 · Øyvind Nordbø, Arne B. Gjuvsland, et al. · Journal of The Royal Society Interface · 3
Works count: 56
Citation count: 538
H-index: 11
I10-index: 12
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