Erik Bjørnager Dam

Erik Bjørnager Dam

Professor

Member of:


    1. Published
    2. Published

      Deformation-based atrophy computation by surface propagation and its application to Alzheimer’s disease

      Pai, A. S. U., Sporring, Jon, Darkner, Sune, Dam, Erik Bjørnager, Lillholm, Martin, Jørgensen, D., Oh, J., Chen, G., Suhy, J., Sørensen, L. & Nielsen, Mads, 2016, In: SPIE Journal of Medical Imaging. 3, 1, 11 p., 014005.

      Research output: Contribution to journalJournal articleResearchpeer-review

    3. Published

      Characterization of errors in deep learning-based brain MRI segmentation

      Pai, A. S. U., Teng, Y., Blair, J. P. M., Kallenberg, M. G. J., Dam, Erik Bjørnager, Sommer, Stefan Horst, Igel, Christian & Nielsen, Mads, 2017, Deep learning for medical image analysis. Zhou, S. K., Greenspan, H. & Shen, D. (eds.). Academic Press, p. 223–242 20 p.

      Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

    4. 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 journalJournal articleResearchpeer-review

    5. Published

      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 journalJournal articleResearchpeer-review

    6. Published

      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 journalLetterResearchpeer-review

    7. 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. 24709-24719

      Research output: Contribution to journalJournal articleResearchpeer-review

    8. 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 journalJournal articleResearchpeer-review

    9. 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 journalJournal articleResearchpeer-review

    10. Published

      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. 1142-1153

      Research output: Contribution to journalJournal articleResearchpeer-review

    11. Published

      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, Nieminen, M. T., Saarakkala, S., Tiulpin, A., Lin, E., Li, A., Li, V., Dam, Erik Bjørnager, Chaudhari, A. S., Kijowski, R., Bierma-Zeinstra, S., Oei, E. H. G. & Klein, S., 2023, In: Osteoarthritis and Cartilage. 31, p. 115-125

      Research output: Contribution to journalJournal articleResearchpeer-review

    12. 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 journalJournal articleResearchpeer-review

    13. Published
    14. 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 proceedingArticle in proceedingsResearchpeer-review

    15. Published

      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 journalJournal articleResearchpeer-review

    16. Published

      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 journalJournal articleResearchpeer-review

    17. Published

      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 journalJournal articleResearchpeer-review

    18. Published

      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 journalJournal articleResearchpeer-review

    19. Published

      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, Nakamura, K., Li, X., Deniz, C. M., Juras, V., Regatte, R., Gold, G. E., Hargreaves, B. A., Pedoia, V. & Chaudhari, A. S., 2020, In: Osteoarthritis and Cartilage Open. 28, Suppl. 1, p. 5304-5305

      Research output: Contribution to journalConference abstract in journalResearchpeer-review

    20. Published

      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 journalJournal articleResearchpeer-review

    21. Published
    22. 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 journalJournal articleResearchpeer-review

    23. Published

      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 journalJournal articleResearchpeer-review

    24. Published

      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. 1-11

      Research output: Contribution to journalJournal articleResearchpeer-review

    25. Published

      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, Gold, G. & Chaudhari, A., 2023, In: Osteoarthritis Imaging. 3, 1, 9 p., 100087.

      Research output: Contribution to journalJournal articleResearchpeer-review

    ID: 176815263