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C.F. Baumgartner
C.F. Baumgartner
Medicine
Segmentation
fully automated
Computer science
Cartilage
6
Papers
1
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0
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Effect of training set sample size on the agreement, accuracy, and sensitivity to change of automated U-net-based cartilage thickness analysis
2021
Osteoarthritis and Cartilage
Felix Eckstein
Ajit M.W. Chaudhari
C.F. Baumgartner
Ender Konukoglu
A. Wisser
David Fürst
Wolfgang Wirth
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A deep-learning-based technique for the quantitative analysis of femorotibial osteophyte and bone volumes -data from the osteoarthritis initiative
2021
Osteoarthritis and Cartilage
J.K. Schachinger
Susanne Maschek
A. Wisser
David Fürst
Akshay S. Chaudhari
Jana Kemnitz
C.F. Baumgartner
Ender Konukoglu
Felix Eckstein
Wolfgang Wirth
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Agreement and accuracy of femorotibial cartilage morphometry in radiographic knee OA using different training sets for automateddeep learning segmentation - comparison between flash and dess MRI
2021
Osteoarthritis and Cartilage
Wolfgang Wirth
Akshay S. Chaudhari
Jana Kemnitz
C.F. Baumgartner
Ender Konukoglu
David Fürst
Felix Eckstein
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Clinical validation of fully automated segmentation of thigh muscle and adipose tissue cross sectional areas using maching learning with a convolutional neural network
2019
Osteoarthritis and Cartilage
J. Kemnitz
C.F. Baumgartner
A. Ruhdorfer
W. Wirth
Felix Eckstein
S.K. Eder
Ender Konukoglu
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Breeding for hoof soundness. Practical possibilities
1988
C.F. Baumgartner
O. Distl
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