Erik Bjørnager Dam
Professor
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Characterising the Atomic Structure of Mono-Metallic Nanoparticles from X-Ray Scattering Data Using Conditional Generative Models
Anker, Andy Sode, Kjær, E. T. S., Dam, Erik Bjørnager, Billinge, S. J. L., Jensen, K. M. Ø. & Selvan, Raghav, 17 Jul 2020Research output: Other contribution › Research
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Enzyme-linked immunosorbent assay (ELISAs) for metalloproteinase derived type II collagen neoepitope, CIIM--increased serum CIIM in subjects with severe radiographic osteoarthritis
Bay-Jensen, A., Liu, Q., Byrjalsen, I., Li, Y., Wang, J., Pedersen, C., Leeming, D. J., Dam, Erik Bjørnager, Zheng, Q., Qvist, P. & Karsdal, M. A., Apr 2011, In: Clinical Biochemistry. 44, 5-6, p. 423-9 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Which elements are involved in reversible and irreversible cartilage degradation in osteoarthritis?
Bay-Jensen, A., Hoegh-Madsen, S., Dam, Erik Bjørnager, Henriksen, K., Sondergaard, B. C., Pastoureau, P., Qvist, P. & Karsdal, M. A., Feb 2010, In: Rheumatology International. 30, 4, p. 435-42 8 p.Research output: Contribution to journal › Review › Research › peer-review
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The Liver Tumor Segmentation Benchmark (LiTS)
Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R., Sosna, J. & 89 others, , 2023, In: Medical Image Analysis. 84, 24 p., 102680.Research output: Contribution to journal › Journal article › Research › peer-review
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Muscle fibre morphology and microarchitecture in cerebral palsy patients obtained by 3D synchrotron X-ray computed tomography
Borg, L., Sporring, Jon, Dam, Erik Bjørnager, Dahl, V. A., Dyrby, T. B., Feidenhans'l, Robert Krarup, Dahl, A. B. & Pingel, Jessica, 2019, In: Computers in Biology and Medicine. 107, p. 265-269 5 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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
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Non-invasive phenotyping for water and nitrogen uptake by deep roots explored using machine learning
Changdar, Satyasaran, Popovic, Olga, Wacker, Tomke Susanne, Markussen, Bo, Dam, Erik Bjørnager & Thorup-Kristensen, Kristian, 2023, In: Plant and Soil. 493, p. 603–616Research output: Contribution to journal › Journal article › Research › peer-review
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Towards Automatic Cartilage Quantification in Clinical Trials – Continuing from the 2019 IWOAI Knee Segmentation Challenge
Dam, E. B., Desai, A. D., Deniz, C. M., Rajamohan, H. R., Regatte, R., Iriondo, C., Pedoia, V., Majumdar, S., Perslev, M., Igel, C., Pai, A., Gaj, S., Yang, M., Nakamura, K., Li, X., Maqbool, H., Irmakci, I., Song, S-E., Bagci, U., Hargreaves, B. & 2 others, , 2023, In: Osteoarthritis Imaging. 3, 1, 9 p., 100087.Research output: Contribution to journal › Journal article › Research › peer-review
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Automatic shape model building based on principal geodesic analysis bootstrapping
Dam, Erik Bjørnager, Fletcher, P. T. & Pizer, S. M., Apr 2008, In: Medical Image Analysis. 12, 2, p. 136-51 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Toward integrated automated analysis of articular cartilage and trabecular bone in osteoarthritis
Dam, Erik Bjørnager, Dec 2008, In: Academic Radiology. 15, 12, p. 1479-81 3 p.Research output: Contribution to journal › Journal article › Research
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Cartilage cavity: an MRI marker of cartilage lesions in knee OA with Data from CCBR, OAI, and PROOF
Dam, Erik Bjørnager, Runhaar, J., Bierma-Zienstra, S. & Karsdal, M., 2018, In: Magnetic Resonance in Medicine. 80, 3, p. 1219-1232Research output: Contribution to journal › Journal article › Research › peer-review
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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
Efficient segmentation by sparse pixel classification
Dam, Erik Bjørnager & Loog, M., 2008, In: IEEE Transactions on Medical Imaging. 27, 10, p. 1525-1534 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
Dam, Erik Bjørnager, Lillholm, Martin, Marques, J. & Nielsen, Mads, 2015, In: SPIE Journal of Medical Imaging. 2, 2, 13 p., 024001.Research output: Contribution to journal › Journal article › Research › peer-review
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Identification of progressors in osteoarthritis by combining biochemical and MRI based markers.
Dam, Erik Bjørnager, Loog, M., Christiansen, C., Byrjalsen, I., Folkesson, J. M., Nielsen, Mads, Qazi, A. A., Pettersen, P., Garnero, P. & Karsdal, M. A., 24 Jul 2009, In: Arthritis Research & Therapy. 11, 4, p. 1-11Research output: Contribution to journal › Journal article › Research › peer-review
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The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
IWOAI Segmentation Challenge Writing Group, I. S. C. W. G., 2021, In: Radiology. Artificial intelligence. 3, 3, 13 p., e200078.Research output: Contribution to journal › Journal article › Research › peer-review
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A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset: Findings From The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge
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, M., Pai, A., Igel, C., Dam, E. B., Gaj, S., Yang, M. & 9 others, , 2020, In: Osteoarthritis and Cartilage Open. 28, Suppl. 1, p. 5304-5305Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI
Erleben, L. L., Sørensen, L. E., Pai, A. S. U., Dam, Erik Bjørnager, Nielsen, Mads & Initiative, A. D. N., 2014, In: BMC Medical Imaging. 14, 1, 12 p., 21.Research output: Contribution to journal › Journal article › Research › peer-review
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Segmenting articular cartilage automatically using a voxel classification approach
Folkesson, J., Dam, Erik Bjørnager, Olsen, O. F., Pettersen, P. C. & Christiansen, C., Jan 2007, In: IEEE Transactions on Medical Imaging. 26, 1, p. 106-15 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Accuracy evaluation of automatic quantification of the articular cartilage surface curvature from MRI
Folkesson, J., Dam, Erik Bjørnager, Olsen, O. F. & Christiansen, C., Oct 2007, In: Academic Radiology. 14, 10, p. 1221-8 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Automatic quantification of local and global articular cartilage surface curvature: biomarkers for osteoarthritis?
Folkesson, J., Dam, Erik Bjørnager, Olsen, O. F., Karsdal, M. A., Pettersen, P. C. & Christiansen, C., Jun 2008, In: Magnetic Resonance in Medicine. 59, 6, p. 1340-6 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
Automatic Segmentation of the Articular Cartilage in Knee MRI Using a Hierarchical Multi-class Classification Scheme
Folkesson, J. M., Dam, Erik Bjørnager, Olsen, O. F., Pettersen, P. C. & Christiansen, C., 2005, Medical Image Computing and Computer-Assisted Intervention – MICCAI. <Forlag uden navn>, p. 327-334 (Lecture notes in computer science, Vol. 3749/2005).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
Friis-Jensen, Ulrik, Johansen, Frederik Lizak, Anker, Andy Sode, Dam, Erik Bjørnager, Jensen, K. M. Ø. & Selvan, Raghav, 2024, arxiv.org, 16 p.Research output: Working paper › Preprint › Research
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
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The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images
Hirvasniemi, J., Runhaar, J., van der Heijden, R. A., Zokaeinikoo, M., Yang, M., Li, X., Tan, J., Rajamohan, H. R., Zhou, Y., Deniz, C. M., Caliva, F., Iriondo, C., Lee, J. J., Liu, F., Martinez, A. M., Namiri, N., Pedoia, V., Panfilov, E., Bayramoglu, N., Nguyen, H. H. & 12 others, , 2023, In: Osteoarthritis and Cartilage. 31, p. 115-125Research output: Contribution to journal › Journal article › Research › peer-review
ID: 176815263
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3478
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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 -
339
downloads
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 -
279
downloads
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