Baumgartner CF - Search Results

1

Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain.

Kemnitz J, Baumgartner CF, Eckstein F, Chaudhari A, Ruhdorfer A, Wirth W, Eder SK, Konukoglu E. Kemnitz J, et al. Among authors: baumgartner cf. MAGMA. 2020 Aug;33(4):483-493. doi: 10.1007/s10334-019-00816-5. Epub 2019 Dec 23. MAGMA. 2020. PMID: 31872357 Free PMC article.

2

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: baumgartner cf. 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.

3

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: baumgartner cf. 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.

4

Automated quantification of myocardial tissue characteristics from native T₁ mapping using neural networks with uncertainty-based quality-control.

Puyol-Antón E, Ruijsink B, Baumgartner CF, Masci PG, Sinclair M, Konukoglu E, Razavi R, King AP. Puyol-Antón E, et al. Among authors: baumgartner cf. J Cardiovasc Magn Reson. 2020 Aug 20;22(1):60. doi: 10.1186/s12968-020-00650-y. J Cardiovasc Magn Reson. 2020. PMID: 32814579 Free PMC article.

5

MR Image Reconstruction Using Deep Density Priors.

Tezcan KC, Baumgartner CF, Luechinger R, Pruessmann KP, Konukoglu E. Tezcan KC, et al. Among authors: baumgartner cf. IEEE Trans Med Imaging. 2019 Jul;38(7):1633-1642. doi: 10.1109/TMI.2018.2887072. Epub 2018 Dec 17. IEEE Trans Med Imaging. 2019. PMID: 30571618

6

Semi-supervised task-driven data augmentation for medical image segmentation.

Chaitanya K, Karani N, Baumgartner CF, Erdil E, Becker A, Donati O, Konukoglu E. Chaitanya K, et al. Among authors: baumgartner cf. Med Image Anal. 2021 Feb;68:101934. doi: 10.1016/j.media.2020.101934. Epub 2020 Dec 9. Med Image Anal. 2021. PMID: 33385699 Free article.

7

Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior.

Tezcan KC, Karani N, Baumgartner CF, Konukoglu E. Tezcan KC, et al. Among authors: baumgartner cf. IEEE Trans Med Imaging. 2022 Jul;41(7):1885-1896. doi: 10.1109/TMI.2022.3150853. Epub 2022 Jun 30. IEEE Trans Med Imaging. 2022. PMID: 35143393

8

Autoadaptive motion modelling for MR-based respiratory motion estimation.

Baumgartner CF, Kolbitsch C, McClelland JR, Rueckert D, King AP. Baumgartner CF, et al. Med Image Anal. 2017 Jan;35:83-100. doi: 10.1016/j.media.2016.06.005. Epub 2016 Jun 9. Med Image Anal. 2017. PMID: 27343436 Free article.

9

High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment.

Baumgartner CF, Kolbitsch C, Balfour DR, Marsden PK, McClelland JR, Rueckert D, King AP. Baumgartner CF, et al. Med Image Anal. 2014 Oct;18(7):939-52. doi: 10.1016/j.media.2014.05.010. Epub 2014 Jun 2. Med Image Anal. 2014. PMID: 24972374

10

Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.

Sinclair M, Baumgartner CF, Matthew J, Bai W, Martinez JC, Li Y, Smith S, Knight CL, Kainz B, Hajnal J, King AP, Rueckert D. Sinclair M, et al. Among authors: baumgartner cf. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:714-717. doi: 10.1109/EMBC.2018.8512278. Annu Int Conf IEEE Eng Med Biol Soc. 2018. PMID: 30440496

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