Erik Bjørnager Dam

Erik Bjørnager Dam

Professor

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    ORCID: 0000-0002-8888-2524

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    1. Published

      Equity through Access: A Case for Small-scale Deep Learning

      Selvan, Raghav, Pepin, B., Igel, Christian, Samuel, G. & Dam, Erik Bjørnager, 19 Mar 2024.

      Research output: Working paper › Preprint

    2. Published

      Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet

      Pandey, Sumit, Changdar, Satyasaran, Perslev, Mathias & Dam, Erik Bjørnager, 12 Jan 2024.

      Research output: Working paper › Preprint

    3. 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 journal › Journal article › Research › peer-review

    4. Published

      Gender Differences in Knee Joint Congruity Quantified from MRI: A Validation Study with Data from Center for Clinical and Basic Research and Osteoarthritis Initiative

      Tummala, S., Schiphof, D., Byrjalsen, I. & Dam, Erik Bjørnager, Jan 2018, In: Cartilage. 9, 1, p. 38-45 8 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    5. 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 journal › Journal article › Research › peer-review

    6. Published

      Knee Segmentation by Multiplanar Deep Learning Network – with data from OAI

      Perslev, Mathias, Pai, A. S. U., Igel, Christian & Dam, Erik Bjørnager, 2018. 1 p.

      Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

    7. 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 journal › Conference article › Research › peer-review

    8. 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 journal › Conference article › Research

    9. 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 journal › Journal article › Research › peer-review

    10. Published

      Multi-layered tensor networks for image classification

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

      Research output: Contribution to conference › Paper › Research

    11. 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 journal › Journal article › Research › peer-review

    12. Published

      Multi‐planar 3D knee MRI segmentation via UNet inspired architectures

      Sengar, Sandeep Singh, Meulengracht, C., Boesen, Mikael Ploug, Overgaard, A. F., Gudbergsen, Henrik Rindel, Nybing, J. D., Perslev, Mathias & Dam, Erik Bjørnager, 2023, In: International Journal of Imaging Systems and Technology. 33, 3, p. 985-998

      Research output: Contribution to journal › Journal article › Research › peer-review

    13. Published

      Muscle fibre morphology and microarchitecture in cerebral palsy patients obtained by 3D synchrotron X-ray computed tomography

      Borg, L., Sporring, Jon, Dam, Erik Bjørnager, Dahl, V. A., Dyrby, T. B., Feidenhans'l, Robert Krarup, Dahl, A. B. & Pingel, Jessica, 2019, In: Computers in Biology and Medicine. 107, p. 265-269 5 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    14. Published

      Non-invasive phenotyping for water and nitrogen uptake by deep roots explored using machine learning

      Changdar, Satyasaran, Popovic, O., Wacker, Tomke Susanne, Markussen, Bo, Dam, Erik Bjørnager & Thorup-Kristensen, Kristian, 2023, In: Plant and Soil. 493, p. 603–616

      Research output: Contribution to journal › Journal article › Research › peer-review

    15. 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 journal › Journal article › Research › peer-review

    16. 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 proceeding › Article in proceedings › Research › peer-review

    17. Published

      Operating Critical Machine Learning Models in Resource Constrained Regimes

      Selvan, Raghav, Schön, Julian Elisha & Dam, Erik Bjørnager, 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops: MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings. Springer, p. 325-335 Chapter 29. (Lecture Notes in Computer Science, Vol. 14394).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    18. 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 journal › Journal article › Research › peer-review

    19. Published

      Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks

      Selvan, Raghav, Dam, Erik Bjørnager, Flensborg, S. A. & Petersen, Jens, 2022, In: The Journal of Machine Learning for Biomedical Imaging. 2022, p. 1-24 005.

      Research output: Contribution to journal › Journal article › Research › peer-review

    20. 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 journal › Journal article › Research › peer-review

    21. 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 journal › Journal article › Research › peer-review

    22. 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 journal › Letter › Research › peer-review

    23. 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 journal › Journal article › Research › peer-review

    24. 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 proceeding › Article in proceedings › Research › peer-review

    25. 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 journal › Journal article › Research › peer-review

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