Erik Bjørnager Dam
Professor
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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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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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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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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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The disease modifying osteoarthritis drug (DMOAD): Is it in the horizon?
Qvist, P., Bay-Jensen, A., Christiansen, C., Dam, Erik Bjørnager, Pastoureau, P. & Karsdal, M. A., Jul 2008, In: Pharmacological Research. 58, 1, p. 1-7 7 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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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
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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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Tensor Networks for Medical Image Classification
Selvan, Raghav & Dam, Erik Bjørnager, 21 Apr 2020, International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada. PMLR, p. 721-732 (Proceedings of Machine Learning Research, Vol. 121).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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
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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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Segmenting Two-Dimensional Structures with Strided Tensor Networks
Selvan, Raghav, Dam, Erik Bjørnager & Petersen, Jens, 2021, Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Proceedings. Feragen, A., Sommer, S., Schnabel, J. & Nielsen, M. (eds.). Springer, p. 401-414 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12729 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Segmentation of tumors in magnetic resonance brain images using an interactive multiscale watershed algorithm
Letteboer, M. M. J., Olsen, O. F., Dam, Erik Bjørnager, Willems, P. W. A., Viergever, M. A. & Niessen, W. J., Oct 2004, In: Academic Radiology. 11, 10, p. 1125-38 14 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Reply to Roemer and Guermazi: Early biochemical changes on MRI can predict risk of symptomatic progression
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., 2021, In: Proceedings of the National Academy of Sciences of the United States of America. 118, 11, 2 p., e2024679118.Research output: Contribution to journal › Letter › Research › peer-review
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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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
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Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks
Selvan, Raghav, Dam, Erik Bjørnager, Flensborg, S. A. & Petersen, Jens, 2022, In: The Journal of Machine Learning for Biomedical Imaging. 2022, p. 1-24 005.Research output: Contribution to journal › Journal article › Research › peer-review
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Osteoarthritic cartilage is more homogeneous than healthy cartilage: identification of a superior region of interest colocalized with a major risk factor for osteoarthritis
Qazi, A. A., Dam, Erik Bjørnager, Nielsen, Mads, Karsdal, M. A., Pettersen, P. C. & Christiansen, C., Oct 2007, In: Academic Radiology. 14, 10, p. 1209-20 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Operating Critical Machine Learning Models in Resource Constrained Regimes
Selvan, Raghav, Schön, Julian Elisha & Dam, Erik Bjørnager, 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops: MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings. Springer, p. 325-335 Chapter 29. (Lecture Notes in Computer Science, Vol. 14394).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation
Perslev, Mathias, Dam, Erik Bjørnager, Pai, A. & Igel, Christian, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer VS, p. 30-38 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11765 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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Non-invasive phenotyping for water and nitrogen uptake by deep roots explored using machine learning
Changdar, Satyasaran, Popovic, O., 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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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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Multi‐planar 3D knee MRI segmentation via UNet inspired architectures
Sengar, Sandeep Singh, Meulengracht, C., Boesen, Mikael Ploug, Overgaard, A. F., Gudbergsen, Henrik Rindel, Nybing, J. D., Perslev, Mathias & Dam, Erik Bjørnager, 2023, In: International Journal of Imaging Systems and Technology. 33, 3, p. 985-998Research output: Contribution to journal › Journal article › Research › peer-review
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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., 2022, In: Arthritis Care & Research. 74, 7, p. 1142-1153Research 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
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339
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Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
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279
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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