Erik Bjørnager Dam

Erik Bjørnager Dam

Professor

Member of:


    1. Published

      Locally orderless tensor networks for classifying two- and three-dimensional medical images

      Selvan, Raghav, Ørting, S. & Dam, Erik Bjørnager, 2021, In: The Journal of Machine Learning for Biomedical Imaging. 5, SI, p. 1-21

      Research output: Contribution to journalConference articleResearchpeer-review

    2. Published

      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 proceedingArticle in proceedingsResearchpeer-review

    3. Published

      Multi-layered tensor networks for image classification

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

      Research output: Contribution to conferencePaperResearch

    4. 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

    5. 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

    6. Published

      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 journalReviewResearchpeer-review

    7. Published

      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 journalJournal articleResearchpeer-review

    8. Published

      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 journalJournal articleResearchpeer-review

    9. Published

      Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network

      Prasoon, A., Petersen, P. K., Igel, Christian, Lauze, Francois Bernard, Dam, Erik Bjørnager & Nielsen, Mads, 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Mori, K., Sakuma, I., Sato, Y., Barillot, C. & Navab, N. (eds.). Springer, p. 246-253 8 p. (Lecture notes in computer science, Vol. 8150).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    10. Published

      Conventional MRI-derived subchondral trabecular biomarkers and their association with knee cartilage volume loss as early as 1 year: a longitudinal analysis from Osteoarthritis Initiative

      Pishgar, F., Ashraf-Ganjouei, A., Dolatshahi, M., Guermazi, A., Zikria, B., Cao, X., Wan, M., Roemer, F. W., Dam, Erik Bjørnager & Demehri, S., 2022, In: Skeletal Radiology. 51, p. 1959–1966

      Research output: Contribution to journalJournal articleResearchpeer-review

    ID: 176815263