Erik Bjørnager Dam
Associate Professor
Machine Learning
Universitetsparken 1, Nordfløj, Building: UP1-1-2-19
2100 København Ø
- 2021
- E-pub ahead of print
Multivariable modeling of biomarker data from the phase 1 Foundation for the NIH Osteoarthritis Biomarkers Consortium
Hunter, D. J., Deveza, L. A., Collins, J. E., Losina, E., Nevitt, M. C., Roemer, F. W., Guermazi, A., Bowes, M. A., Dam, Erik Bjørnager, Eckstein, F., Lynch, J. A., Katz, J. N., Kwoh, C. K., Hoffmann, S. & Kraus, V. B., 9 Jan 2021, In : Arthritis Care & Research.Research output: Contribution to journal › Journal article › Research › peer-review
- 2020
- Published
Multi-layered tensor networks for image classification
Selvan, Raghav, Ørting, Silas Nyboe & Dam, Erik Bjørnager, 13 Nov 2020, First Workshop on Quantum Tensor Networks in Machine Learning. In conjunction with 34th NeurIPS, 2020.. (arXiv).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
- Published
Lung Segmentation from Chest X-rays using Variational Data Imputation
Selvan, Raghav, Dam, Erik Bjørnager, Rischel, S., Sheng, K., Nielsen, Mads & Pai, Akshay Sadananda Uppinakudru, 20 May 2020, ICML Workshop on Learning with Missing Values. 7 p. (arXiv).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
Desai, A. D., Caliva, F., Iriondo, C., Khosravan, N., Mortazi, A., Jambawalikar, S., Torigian, D., Ellerman, J., Akcakaya, M., Bagci, U., Tibrewala, R., Flament, I., O`Brien, M., Majumdar, S., Perslev, Mathias, Pai, Akshay Sadananda Uppinakudru, Igel, Christian, Dam, Erik Bjørnager, Gaj, S., Yang, M., Nakamura, K., Li, X., Deniz, C. M., Juras, V., Regatte, R., Gold, G. E., Hargreaves, B. A., Pedoia, V. & Chaudhari, A. S., 29 Apr 2020, In : arXiv. 18 p.Research output: Contribution to journal › Journal article › Research
- Published
Tensor Networks for Medical Image Classification
Selvan, Raghav & Dam, Erik Bjørnager, 21 Apr 2020, International Conference on Medical Imaging with Deep Learning (MIDL), 2020. (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning
Kundu, S., Ashinsky, B. G., Bouhrara, M., Dam, Erik Bjørnager, Demehri, S., Shifat-E-Rabbi, M., Spencer, R. G., Urish, K. L. & Rohde, G. K., 2020, In : Proceedings of the National Academy of Sciences of the United States of America. 117, 40, p. 24709-24719Research output: Contribution to journal › Journal article › Research › peer-review
- E-pub ahead of print
Medial Cartilage Surface Integrity as a Surrogate Measure for Incident Radiographic Knee Osteoarthritis following Weight Changes
Runhaar, J., Dam, Erik Bjørnager, Oei, E. H. G. & Bierma-Zeinstra, S. M. A., 2020, In : Cartilage. 4 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Wheel rutting: preliminary investigations of soil redox potential and automated monitoring of their presence using machine learning and highresolution LiDAR data
Callesen, Ingeborg, Brockmann, Bo, Fischer, Lene, Magnussen, A. & Dam, Erik Bjørnager, 2020, Forest Operations for the Future - Conference Proceedings. University of Copenhagen, p. 58-62 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
- 2019
- Published
A multispectral camera system for automated minirhizotron image analysis
Svane, Simon Fiil, Dam, Erik Bjørnager, Carstensen, J. M. & Thorup-Kristensen, Kristian, 2019, In : Plant and Soil. 441, 1-2, p. 657-672Research 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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289
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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 -
88
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Knee Segmentation by Multiplanar Deep Learning Network – with data from OAI
Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Published