Research graph
References from Method: Selection of anatomical sites for predicting in vivo body composition in pig and goat using tissue thicknesses measured from computed tomography images. Local targets link to admitted publications; unresolved targets remain external evidence.
Automated grading beef carcasses
2009 · External reference
The number of ribs and vertebrae in a Pietrain cross: variation, heritability and effects on performance traits
10.1111/j.1439-0388.2004.00482.x · 2004 · External reference
Use of X-ray computed tomography (CT) in UK sheep production and breeding
2011 · External reference
Predicting fat, lean and the weights of primal cuts for growing pigs of different genotypes and sexes using computed tomography
10.2527/jas.2014-8697 · 2015 · External reference
Feeding palm oil fatty acids or rapeseed oil throughout lactation: effects on energy status, body composition, and milk production in Norwegian dairy goats
10.3168/jds.2017-12768 · 2017 · External reference
Use of linear regression and partial least square regression to predict intramuscular fat of pig loin computed tomography images
10.1016/j.chemolab.2013.01.005 · 2013 · External reference
Review: deciphering animal robustness: a synthesis to facilitate its use in livestock breeding and management
10.1017/s175173111700088x · 2017 · External reference
Unresolved reference
2011 · External reference
Use of magnetic resonance imaging to predict the body composition of pigs in vivo
10.1017/s1751731112002340 · 2013 · External reference
Building predictive models in R using the caret package
10.18637/jss.v028.i05 · 2008 · External reference
In vivo composition of carcass regions in lambs of two genetic lines, and selection of CT positions for estimation of each region
10.1016/j.smallrumres.2005.09.014 · 2006 · External reference
Prediction of carcass traits in fattening Chios and Serres lambs using real-time ultrasonography and live body weight measurements pre-slaughter
10.1016/j.meatsci.2023.109396 · 2024 · External reference
The use of various live animal measurements to predict carcass and meat quality in two divergent lamb breeds
10.1016/j.meatsci.2008.05.026 · 2008 · External reference
MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ
10.1093/bioinformatics/btw413 · 2016 · External reference
Estimation of dairy goat body composition: a direct calibration and comparison of eight methods
10.1016/j.ymeth.2020.06.014 · 2021 · External reference
Prediction of the in vivo body composition of pigs based on cross-sectional region analysis of dual-energy X-ray absorptiometry (DXA) scans
10.5194/aab-45-535-2002 · 2002 · External reference
Prediction of pork carcass composition based on cross-sectional region analysis of dual X-ray absorptiometry (DXA) scans
10.1016/s0309-1740(02)00081-5 · 2003 · External reference
Unresolved reference
External reference
Body reserves dynamics of suckling ewes across successive production cycles under outdoor and indoor contrasting farming system conditions
2025 · External reference
Unresolved reference
External reference
An automated method to quantify the composition of live pigs based on computed tomography segmentation using deep neural networks
10.1016/j.compag.2021.105987 · 2021 · External reference
Review: towards the agroecological management of ruminants, pigs and poultry through the development of sustainable breeding programmes. II. Breeding strategies
10.1017/s1751731116001051 · 2016 · External reference
The use of computed tomography for in vivo estimation of reticulo-rumen and omasum contents in Alpine goats
2024 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
NIH image to ImageJ: 25 years of image analysis
10.1038/nmeth.2089 · 2012 · External reference
Non-invasive methods for the determination of body and carcass composition in livestock: dual-energy X-ray absorptiometry, computed tomography, magnetic resonance imaging and ultrasound: invited review
10.1017/s1751731115000336 · 2015 · External reference
Unresolved reference
External reference
In vivo estimation of goat carcass composition and body fat partition by real-time ultrasonography
10.2527/jas.2007-0367 · 2008 · External reference
Unresolved reference
2009 · External reference
Unresolved reference
External reference
Use of linear regression and partial least square regression to predict intramuscular fat of pig loin computed tomography images
10.1016/j.chemolab.2013.01.005 · ExternalCitation · doi-reference
An automated method to quantify the composition of live pigs based on computed tomography segmentation using deep neural networks
10.1016/j.compag.2021.105987 · ExternalCitation · doi-reference
The use of various live animal measurements to predict carcass and meat quality in two divergent lamb breeds
10.1016/j.meatsci.2008.05.026 · ExternalCitation · doi-reference
Prediction of carcass traits in fattening Chios and Serres lambs using real-time ultrasonography and live body weight measurements pre-slaughter
10.1016/j.meatsci.2023.109396 · ExternalCitation · doi-reference
In vivo composition of carcass regions in lambs of two genetic lines, and selection of CT positions for estimation of each region
10.1016/j.smallrumres.2005.09.014 · ExternalCitation · doi-reference
Estimation of dairy goat body composition: a direct calibration and comparison of eight methods
10.1016/j.ymeth.2020.06.014 · ExternalCitation · doi-reference
Prediction of pork carcass composition based on cross-sectional region analysis of dual X-ray absorptiometry (DXA) scans
10.1016/s0309-1740(02)00081-5 · ExternalCitation · doi-reference
Use of magnetic resonance imaging to predict the body composition of pigs in vivo
10.1017/s1751731112002340 · ExternalCitation · doi-reference
Non-invasive methods for the determination of body and carcass composition in livestock: dual-energy X-ray absorptiometry, computed tomography, magnetic resonance imaging and ultrasound: invited review
10.1017/s1751731115000336 · ExternalCitation · doi-reference
Review: towards the agroecological management of ruminants, pigs and poultry through the development of sustainable breeding programmes. II. Breeding strategies
10.1017/s1751731116001051 · ExternalCitation · doi-reference
Review: deciphering animal robustness: a synthesis to facilitate its use in livestock breeding and management
10.1017/s175173111700088x · ExternalCitation · doi-reference
NIH image to ImageJ: 25 years of image analysis
10.1038/nmeth.2089 · ExternalCitation · doi-reference
MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ
10.1093/bioinformatics/btw413 · ExternalCitation · doi-reference
The number of ribs and vertebrae in a Pietrain cross: variation, heritability and effects on performance traits
10.1111/j.1439-0388.2004.00482.x · ExternalCitation · doi-reference
Building predictive models in R using the caret package
10.18637/jss.v028.i05 · ExternalCitation · doi-reference
In vivo estimation of goat carcass composition and body fat partition by real-time ultrasonography
10.2527/jas.2007-0367 · ExternalCitation · doi-reference
Predicting fat, lean and the weights of primal cuts for growing pigs of different genotypes and sexes using computed tomography
10.2527/jas.2014-8697 · ExternalCitation · doi-reference
Feeding palm oil fatty acids or rapeseed oil throughout lactation: effects on energy status, body composition, and milk production in Norwegian dairy goats
10.3168/jds.2017-12768 · ExternalCitation · doi-reference
Prediction of the in vivo body composition of pigs based on cross-sectional region analysis of dual-energy X-ray absorptiometry (DXA) scans
10.5194/aab-45-535-2002 · ExternalCitation · doi-reference
