Blar i Brage NMBU på forfatter "Kongsro, Jørgen"
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Building an in vivo anatomical atlas to close the phenomic gap in animal breeding
Gangsei, Lars Erik; Kongsro, Jørgen; Olstad, Kristin; Grindflek, Eli; Sæbø, Solve (Journal article; Peer reviewed, 2016) -
Fully convolutional neural network for semantic segmentation on CT scans of pigs
Pollestad, Jarand Hornseth (Master thesis, 2019)Identifying the shape and location of structures within medical images is useful for purposes such as diagnosis and research. This is a cumbersome task if done manually. Recent advances in computer vision and in particular ... -
Linear multiresponse models : theoretical developments and applications in porcine
Gangsei, Lars Erik (PhD Thesis;2016:34, Doctoral thesis, 2018-05-03)The main topic of this PhD–thesis is how to minimize the prediction error for multi–response linear regression models. Two different applications are analysed, (i) bivariate response with missing data and (ii) image analysis ... -
Prediction precision for lean meat percentage in Norwegian pig carcasses using ‘Hennessy grading probe 7’: Evaluation of methods emphasized at exploiting additional information from computed tomography
Gangsei, Lars Erik; Kongsro, Jørgen; Olsen, Eli Vibeke; Røe, Morten; Alvseike, Ole; Sæbø, Solve (Journal article; Peer reviewed, 2016) -
Predikerte avlsverdier for egenskaper på det Norske Landsvinet funnet ved bruk av prinsipal komponent analyse
Olsen, Ellen Maud Langmoen (Master thesis, 2018)Avlsarbeidet til det Norske Landsvinet blir driftet av Norsvin. I dag er det 27 egenskaper med i avlsmålet, men det brukes 49 egenskaper når en beregner avlsverdier. Disse egenskapene blir delt inn i grupper hvor det blir ... -
A QTL for number of teats shows breed specific effects on number of vertebrae in pigs: Bridging the gap between molecular and quantitative genetics
van Son, Maren; Lopes, Marcos S; Martell, Henry J; Derks, Martijn F.L.; Gangsei, Lars Erik; Kongsro, Jørgen; Wass, Mark N.; Grindflek, Eli; Harlizius, Barbara (Peer reviewed; Journal article, 2019)Modern breeding schemes for livestock species accumulate a large amount of genotype and phenotype data which can be used for genome-wide association studies (GWAS). Many chromosomal regions harboring effects on quantitative ...