Erik Bjørnager Dam
Professor
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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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A framework for optimizing measurement weight maps to minimize the required sample size
Qazi, A. A., Jørgensen, D. R., Lillholm, Martin, Loog, M., Nielsen, Mads & Dam, Erik Bjørnager, 2010, In: Medical Image Analysis. 14, 3, p. 255-264 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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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Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge
Pandey, Sumit, Toshali, Perslev, Mathias & Dam, Erik Bjørnager, 2024, Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Proceedings. Heller, N., Wood, A., Weight, C., Isensee, F., Rädsch, T., Teipaul, R. & Papanikolopoulos, N. (eds.). Springer, p. 143-148 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14540 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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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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
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Automatic quantification of tibio-femoral contact area and congruity
Tummala, S., Nielsen, Mads, Lillholm, Martin, Christiansen, C. & Dam, Erik Bjørnager, 2012, In: I E E E Transactions on Medical Imaging. 31, 7, p. 1404-1412 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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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
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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339
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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 -
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