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Local MRI-based measures of thigh adipose tissue derived from fully automated deep convolutional neural network-based segmentation show a comparable responsiveness to bidirectional change in body weight as from quality controlled manual segmentation.
Kemnitz J, Steidle-Kloc E, Wirth W, Fuerst D, Wisser A, Eder SK, Eckstein F. Kemnitz J, et al. Ann Anat. 2022 Feb;240:151866. doi: 10.1016/j.aanat.2021.151866. Epub 2021 Nov 23. Ann Anat. 2022. PMID: 34823014 Free article.
Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort.
Wirth W, Eckstein F, Kemnitz J, Baumgartner CF, Konukoglu E, Fuerst D, Chaudhari AS. Wirth W, et al. Among authors: kemnitz j. MAGMA. 2021 Jun;34(3):337-354. doi: 10.1007/s10334-020-00889-7. Epub 2020 Oct 6. MAGMA. 2021. PMID: 33025284 Free PMC article.
Detection of Differences in Longitudinal Cartilage Thickness Loss Using a Deep-Learning Automated Segmentation Algorithm: Data From the Foundation for the National Institutes of Health Biomarkers Study of the Osteoarthritis Initiative.
Eckstein F, Chaudhari AS, Fuerst D, Gaisberger M, Kemnitz J, Baumgartner CF, Konukoglu E, Hunter DJ, Wirth W. Eckstein F, et al. Among authors: kemnitz j. Arthritis Care Res (Hoboken). 2022 Jun;74(6):929-936. doi: 10.1002/acr.24539. Epub 2022 Apr 1. Arthritis Care Res (Hoboken). 2022. PMID: 33337584 Free PMC article.
230 results