Erik Bjørnager Dam
Professor
ORCID: 0000-0002-8888-2524
1 - 4 out of 4Page size: 10
- 2013
- Published
Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network
Prasoon, A., Petersen, P. K., Igel, Christian, Lauze, Francois Bernard, Dam, Erik Bjørnager & Nielsen, Mads, 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Mori, K., Sakuma, I., Sato, Y., Barillot, C. & Navab, N. (eds.). Springer, p. 246-253 8 p. (Lecture notes in computer science, Vol. 8150).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Diagnosis of osteoarthritis and prognosis of tibial cartilage loss by quantification of tibia trabecular bone from MRI
Marques, J., Genant, H. K., Lillholm, Martin & Dam, Erik Bjørnager, 2013, In: Magnetic Resonance in Medicine. 70, 2, p. 568-575 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
On subregional analysis of cartilage loss from knee MRI
Jørgensen, D. R., Lillholm, Martin, Genant, H. K. & Dam, Erik Bjørnager, 2013, In: Cartilage. 4, 2, p. 121-130 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps
Jørgensen, D. R., Dam, Erik Bjørnager & Lillholm, Martin, 2013, In: Computers in Biology and Medicine. 43, 8, p. 1045-1052 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
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
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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
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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