Erik Bjørnager Dam

Erik Bjørnager Dam

Professor

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    ORCID: 0000-0002-8888-2524

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    1. 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

    2. 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

    3. Published

      Automatic quantification of tibio-femoral contact area and congruity

      Tummala, S., Nielsen, Mads, Lillholm, Martin, Christiansen, C. & Dam, Erik Bjørnager, 2012, In: I E E E Transactions on Medical Imaging. 31, 7, p. 1404-1412 9 p.

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

    4. Published

      A multispectral camera system for automated minirhizotron image analysis

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

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

    5. 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

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

    7. 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

    8. 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 › Research

    9. 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

    10. Published

      Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

      Selvan, Raghav, Bhagwat, N., Anthony, L. F. W., Kanding, B. & Dam, Erik Bjørnager, 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference Singapore, September 18–22, 2022 Proceedings, Part V. Springer, p. 506–516 (Lecture Notes in Computer Science, Vol. 13435).

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

    11. 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

    12. 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

    13. 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

    14. 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

    15. 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

    16. 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 journal › Review › Research › peer-review

    17. 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 journal › Journal article › 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

      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 proceeding › Article in proceedings › Research › peer-review

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

    21. 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

    22. 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

    23. Published

      Cross‐Cohort Automatic Knee MRI Segmentation With Multi‐Planar U‐Nets

      Perslev, Mathias, Pai, A., Runhaar, J., Igel, Christian & Dam, Erik Bjørnager, 2022, In: Journal of Magnetic Resonance Imaging. 55, 2, p. 1650-1663

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

    24. Published

      Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge

      Pandey, Sumit, Toshali, Perslev, Mathias & Dam, Erik Bjørnager, 2024, Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Proceedings. Heller, N., Wood, A., Weight, C., Isensee, F., Rädsch, T., Teipaul, R. & Papanikolopoulos, N. (eds.). Springer, p. 143-148 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14540 LNCS).

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

    25. 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 › Research

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