Erik Bjørnager Dam

Erik Bjørnager Dam

Professor

Medlem af:


    1. 2021
    2. Udgivet

      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, I: Radiology. Artificial intelligence. 3, 3, 13 s., e200078.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    3. 2020
    4. Udgivet

      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

      Publikation: AndetAndet bidragForskning

    5. Udgivet

      Lung Segmentation from Chest X-rays using Variational Data Imputation

      Selvan, Raghav, Dam, Erik Bjørnager, Rischel, S., Sheng, K., Nielsen, Mads & Pai, A., 20 maj 2020, I: OpenReview.net. 7 s.

      Publikation: Bidrag til tidsskriftKonferenceartikelForskning

    6. Udgivet

      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, s. 721-732 (Proceedings of Machine Learning Research, Bind 121).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    7. Udgivet

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

      Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

    8. Udgivet

      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, I: Proceedings of the National Academy of Sciences of the United States of America. 117, 40, s. 24709-24719

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    9. Udgivet

      Multi-layered tensor networks for image classification

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

      Publikation: KonferencebidragPaperForskning

    10. Udgivet

      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, s. 58-62 5 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskning

    11. 2019
    12. Udgivet

      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, I: Cartilage. 13, Suppl. 1, s. 424S-427S

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    13. Udgivet

      A multispectral camera system for automated minirhizotron image analysis

      Svane, Simon Fiil, Dam, Erik Bjørnager, Carstensen, J. M. & Thorup-Kristensen, Kristian, 2019, I: Plant and Soil. 441, 1-2, s. 657-672

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    ID: 176815263