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The RSNA Pediatric Bone Age Machine Learning Challenge

Radiology, 2019-02, Vol.290 (2), p.498-503

2019

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Accuracy and self-validation of automated bone age determination

Scientific reports, 2022-04, Vol.12 (1), p.6388-6388, Article 6388

2022

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Bone age assessment: automated techniques coming of age?

Acta Radiologica, 2013-11, Vol.54 (9), p.1024-1029

2013

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Estimation of bone mineral density by digital X-ray radiogrammetry: Theoretical background and clinical testing

Osteoporosis international, 2001-11, Vol.12 (11), p.961-969

2001

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paediatric bone index derived by automated radiogrammetry

Osteoporosis international, 2010-08, Vol.21 (8), p.1391-1400

2010

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Metacarpal thickness, width, length and medullary diameter in children—reference curves from the First Zürich Longitudinal Study

Osteoporosis international, 2011-05, Vol.22 (5), p.1525-1536

2011

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The Use of Bone Age in Clinical Practice – Part 1

Hormone research in paediatrics, 2011-01, Vol.76 (1), p.1-9

2011

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The BoneXpert Method for Automated Determination of Skeletal Maturity

IEEE transactions on medical imaging, 2009-01, Vol.28 (1), p.52-66

2009

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Computational radiology in skeletal radiography

European journal of radiology, 2009-11, Vol.72 (2), p.252-257

2009

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Optimal minimal neural interpretation of spectra

Analytical chemistry (Washington), 1992-03, Vol.64 (5), p.545-551

1992

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In-line image analysis in the slaughter industry, illustrated by Beef Carcass Classification

Meat science, 1996, Vol.43, p.151-163

1996

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Application of the active shape model in a commercial medical device for bone densitometry

Image and vision computing, 2003-12, Vol.21 (13), p.1155-1161

2003

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Validation and Reference Values of Automated Bone Age Determination for Four Ethnicities

Academic radiology, 2010-11, Vol.17 (11), p.1425-1432

2010

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Minimum Description Length Shape and Appearance Models

Information Processing in Medical Imaging, 2003-01, Vol.18, p.51-62

2003

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The BoneXpert method for automatic determination of bone age and bone health from hand radiographs

Bone (New York, N.Y.), 2009-07, Vol.45, p.S110-S110

2009

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Reference databases of radiogrammetric Bone Health Index from hand radiographs of 1000 normal children of four ethnicities

Bone (New York, N.Y.), 2009-07, Vol.45, p.S110-S110

2009

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Metacarpal thickness, width, length and medullary diameter in children-reference curves from the First ZA14rich Longitudinal Study

Osteoporosis international, 2011-05, Vol.22 (5), p.1525-1536

2011

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Differentiation of GH effects on metacarpal bone in children with GHD

Bone (New York, N.Y.), 2009-07, Vol.45, p.S60-S60

2009

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AB1038 Metacarpal Bone Loss in Patients with Rheumatoid Arthritis Estimated by an Automated New Digital X-Ray Radiogrammetry (DXR) Method – Initial Experience

Annals of the rheumatic diseases, 2015-06, Vol.74 (Suppl 2), p.1245-1245

2015

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THU0428 Psoriasis Arthritis Is Associated with Periarticular Bone Loss of The Metacarpals

Annals of the rheumatic diseases, 2016-06, Vol.75 (Suppl 2), p.344-344

2016

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Metacarpal thickness, width, length and medullary diameter in children — Reference curves from the first Zürich longitudinal study

Bone (New York, N.Y.), 2009-07, Vol.45, p.S96-S96

2009

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A review of Bayesian neural networks with an application to near infrared spectroscopy

IEEE transactions on neural networks, 1996-01, Vol.7 (1), p.56-72

Thodberg, H.H.

1996

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Computational radiology in skeletal radiography : Digital Radiography

European journal of radiology, 2009, Vol.72 (2), p.252-257

2009

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Diversity in auxology: between theory and practice. Proceedings of the 18th Aschauer Soiree, 13th November 2010

Anthropologischer Anzeiger, 2012-03, Vol.69 (2), p.159-174

2012

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IMPROVING GENERALIZATION OF NEURAL NETWORKS THROUGH PRUNING

International journal of neural systems, 1991-01, Vol.1 (4), p.317-326

Thodberg, Hans Henrik

1991

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The RSNA Pediatric Bone Age Machine Learning Challenge

Accuracy and self-validation of automated bone age determination

Bone age assessment: automated techniques coming of age?

Estimation of bone mineral density by digital X-ray radiogrammetry: Theoretical background and clinical testing

paediatric bone index derived by automated radiogrammetry

Metacarpal thickness, width, length and medullary diameter in children—reference curves from the First Zürich Longitudinal Study

The Use of Bone Age in Clinical Practice – Part 1

The BoneXpert Method for Automated Determination of Skeletal Maturity

Computational radiology in skeletal radiography

Optimal minimal neural interpretation of spectra

In-line image analysis in the slaughter industry, illustrated by Beef Carcass Classification

Application of the active shape model in a commercial medical device for bone densitometry

Validation and Reference Values of Automated Bone Age Determination for Four Ethnicities

Minimum Description Length Shape and Appearance Models

The BoneXpert method for automatic determination of bone age and bone health from hand radiographs

Reference databases of radiogrammetric Bone Health Index from hand radiographs of 1000 normal children of four ethnicities

Metacarpal thickness, width, length and medullary diameter in children-reference curves from the First ZA14rich Longitudinal Study

Differentiation of GH effects on metacarpal bone in children with GHD

AB1038 Metacarpal Bone Loss in Patients with Rheumatoid Arthritis Estimated by an Automated New Digital X-Ray Radiogrammetry (DXR) Method – Initial Experience

THU0428 Psoriasis Arthritis Is Associated with Periarticular Bone Loss of The Metacarpals

Metacarpal thickness, width, length and medullary diameter in children — Reference curves from the first Zürich longitudinal study

A review of Bayesian neural networks with an application to near infrared spectroscopy

Computational radiology in skeletal radiography : Digital Radiography

Diversity in auxology: between theory and practice. Proceedings of the 18th Aschauer Soiree, 13th November 2010

IMPROVING GENERALIZATION OF NEURAL NETWORKS THROUGH PRUNING

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