Merhof D - Search Results

1

Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI.

Truhn D, Schrading S, Haarburger C, Schneider H, Merhof D, Kuhl C. Truhn D, et al. Among authors: merhof d. Radiology. 2019 Feb;290(2):290-297. doi: 10.1148/radiol.2018181352. Epub 2018 Nov 13. Radiology. 2019. PMID: 30422086

2

Towards Optical Coherence Tomography-based elastographic evaluation of human cartilage.

Nebelung S, Brill N, Müller F, Tingart M, Pufe T, Merhof D, Schmitt R, Jahr H, Truhn D. Nebelung S, et al. Among authors: merhof d. J Mech Behav Biomed Mater. 2016 Mar;56:106-119. doi: 10.1016/j.jmbbm.2015.11.025. Epub 2015 Dec 4. J Mech Behav Biomed Mater. 2016. PMID: 26700573

3

Polarization-sensitive optical coherence tomography-based imaging, parameterization, and quantification of human cartilage degeneration.

Brill N, Wirtz M, Merhof D, Tingart M, Jahr H, Truhn D, Schmitt R, Nebelung S. Brill N, et al. Among authors: merhof d. J Biomed Opt. 2016 Jul 1;21(7):76013. doi: 10.1117/1.JBO.21.7.076013. J Biomed Opt. 2016. PMID: 27447953 Free article.

4

CNN cascades for segmenting sparse objects in gigapixel whole slide images.

Gadermayr M, Dombrowski AK, Klinkhammer BM, Boor P, Merhof D. Gadermayr M, et al. Among authors: merhof d. Comput Med Imaging Graph. 2019 Jan;71:40-48. doi: 10.1016/j.compmedimag.2018.11.002. Epub 2018 Nov 16. Comput Med Imaging Graph. 2019. PMID: 30472409

5

Domain-specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networks.

Gadermayr M, Li K, Müller M, Truhn D, Krämer N, Merhof D, Gess B. Gadermayr M, et al. Among authors: merhof d. J Magn Reson Imaging. 2019 Jun;49(6):1676-1683. doi: 10.1002/jmri.26544. Epub 2019 Jan 9. J Magn Reson Imaging. 2019. PMID: 30623506

6

Differentiation of human cartilage degeneration by functional MRI mapping-an ex vivo study.

Truhn D, Sondern B, Oehrl S, Tingart M, Knobe M, Merhof D, Kuhl C, Thüring J, Nebelung S. Truhn D, et al. Among authors: merhof d. Eur Radiol. 2019 Dec;29(12):6671-6681. doi: 10.1007/s00330-019-06283-9. Epub 2019 Jun 11. Eur Radiol. 2019. PMID: 31187218

7

A multi-purpose force-controlled loading device for cartilage and meniscus functionality assessment using advanced MRI techniques.

Truhn D, Brill N, Braun B, Merhof D, Kuhl C, Knobe M, Thüring J, Nebelung S. Truhn D, et al. Among authors: merhof d. J Mech Behav Biomed Mater. 2020 Jan;101:103428. doi: 10.1016/j.jmbbm.2019.103428. Epub 2019 Sep 10. J Mech Behav Biomed Mater. 2020. PMID: 31604169

8

Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status.

Weninger L, Haarburger C, Merhof D. Weninger L, et al. Among authors: merhof d. Front Comput Neurosci. 2019 Nov 8;13:73. doi: 10.3389/fncom.2019.00073. eCollection 2019. Front Comput Neurosci. 2019. PMID: 31780915 Free PMC article.

9

Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach.

Thüring J, Rippel O, Haarburger C, Merhof D, Schad P, Bruners P, Kuhl CK, Truhn D. Thüring J, et al. Among authors: merhof d. Eur Radiol Exp. 2020 Apr 6;4(1):20. doi: 10.1186/s41747-020-00148-3. Eur Radiol Exp. 2020. PMID: 32249336 Free PMC article.

10

Radiomics feature reproducibility under inter-rater variability in segmentations of CT images.

Haarburger C, Müller-Franzes G, Weninger L, Kuhl C, Truhn D, Merhof D. Haarburger C, et al. Among authors: merhof d. Sci Rep. 2020 Jul 29;10(1):12688. doi: 10.1038/s41598-020-69534-6. Sci Rep. 2020. PMID: 32728098 Free PMC article.

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