Erik Bjørnager Dam
Professor
ORCID: 0000-0002-8888-2524
1 - 3 out of 3Page size: 10
- 2017
Prediction of medial tibiofemoral compartment joint space loss progression using volumetric cartilage measurements: data from the FNIH OA biomarkers consortium
Hafezi-Nejad, N., Guermazi, A., Roemer, F. W., Hunter, D., Dam, Erik Bjørnager, Zikria, B., Kwoh, C. K. & Demehri, S., Feb 2017, In: European Radiology. 27, 2, p. 464-473 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Characterization of errors in deep learning-based brain MRI segmentation
Pai, A. S. U., Teng, Y., Blair, J. P. M., Kallenberg, M. G. J., Dam, Erik Bjørnager, Sommer, Stefan Horst, Igel, Christian & Nielsen, Mads, 2017, Deep learning for medical image analysis. Zhou, S. K., Greenspan, H. & Shen, D. (eds.). Academic Press, p. 223–242 20 p.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
Simple Methods for Scanner Drift Normalization Validated for Automatic Segmentation of Knee Magnetic Resonance Imaging: with data from the Osteoarthritis Initiative
Dam, Erik Bjørnager, 2017, In: arXiv. 15 p.Research output: Contribution to journal › Journal article › Research
ID: 176815263
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Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
355
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Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
294
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Wheel rutting: preliminary investigations of soil redox potential and automated monitoring of their presence using machine learning and highresolution LiDAR data
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
Published