Erik Bjørnager Dam

Erik Bjørnager Dam

Professor

Member of:


    1. 2019
    2. Published

      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 proceedingArticle in proceedingsResearchpeer-review

    3. Published

      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., Dec 2019, In: Cartilage. 13, Suppl. 1, p. 424S-427S

      Research output: Contribution to journalJournal articleResearchpeer-review

    4. 2020
    5. 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

    6. 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

    7. Published

      Multi-layered tensor networks for image classification

      Selvan, Raghav, Ørting, S. & Dam, Erik Bjørnager, 2020. 6 p.

      Research output: Contribution to conferencePaperResearch

    8. 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 proceedingArticle in proceedingsResearch

    9. 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, 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 proceedingArticle in proceedingsResearchpeer-review

    10. Published

      Lung Segmentation from Chest X-rays using Variational Data Imputation

      Selvan, Raghav, Dam, Erik Bjørnager, Rischel, S., Sheng, K., Nielsen, Mads & Pai, A., 20 May 2020, In: OpenReview.net. 7 p.

      Research output: Contribution to journalConference articleResearch

    11. Published

      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 2020

      Research output: Other contributionResearch

    12. 2021
    13. Published

      Fully automated quality control of rigid and affine registrations of T1w and T2w MRI in big data using machine learning

      Tummala, S., Thadikemalla, V. S. G., Kreilkamp, B. A. K., Dam, Erik Bjørnager & Focke, N. K., 2021, In: Computers in Biology and Medicine. 139, 104997.

      Research output: Contribution to journalJournal articleResearchpeer-review

    ID: 176815263