Erik Bjørnager Dam

Erik Bjørnager Dam

Professor

Member of:

    ORCID: 0000-0002-8888-2524

    Publication year:
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    1 - 60 out of 60Page size: 500
    1. 2024
    2. 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

    3. 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

    4. 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

    5. Published

      CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning

      Friis-Jensen, Ulrik, Johansen, Frederik Lizak, Anker, Andy Sode, Dam, Erik Bjørnager, Jensen, K. M. Ø. & Selvan, Raghav, 2024, arxiv.org, 16 p.

      Research output: Working paper › Preprint › Research

    6. 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

    7. 2023
    8. Published

      Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models

      Pandey, Sumit, Chen, K. F. & Dam, Erik Bjørnager, 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023. IEEE, p. 2584-2590

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

    9. 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

    10. Published

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

      Changdar, Satyasaran, Popovic, Olga, 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

    11. Published

      The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

      Hirvasniemi, J., Runhaar, J., van der Heijden, R. A., Zokaeinikoo, M., Yang, M., Li, X., Tan, J., Rajamohan, H. R., Zhou, Y., Deniz, C. M., Caliva, F., Iriondo, C., Lee, J. J., Liu, F., Martinez, A. M., Namiri, N., Pedoia, V., Panfilov, E., Bayramoglu, N., Nguyen, H. H. & 12 others, Nieminen, M. T., Saarakkala, S., Tiulpin, A., Lin, E., Li, A., Li, V., Dam, Erik Bjørnager, Chaudhari, A. S., Kijowski, R., Bierma-Zeinstra, S., Oei, E. H. G. & Klein, S., 2023, In: Osteoarthritis and Cartilage. 31, p. 115-125

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

    12. Published

      The Liver Tumor Segmentation Benchmark (LiTS)

      Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R., Sosna, J. & 89 others, Ezhov, I., Sekuboyina, A., Navarro, F., Kofler, F., Paetzold, J. C., Shit, S., Hu, X., Lipková, J., Rempfler, M., Piraud, M., Kirschke, J., Wiestler, B., Zhang, Z., Hülsemeyer, C., Beetz, M., Ettlinger, F., Antonelli, M., Bae, W., Bellver, M., Bi, L., Chen, H., Chlebus, G., Dam, Erik Bjørnager, Dou, Q., Fu, C., Georgescu, B., Giró-I-Nieto, X., Gruen, F., Han, X., Heng, P., Hesser, J., Moltz, J. H., Igel, Christian, Isensee, F., Jäger, P., Jia, F., Kaluva, K. C., Khened, M., Kim, I., Kim, J., Kim, S., Kohl, S., Konopczynski, T., Kori, A., Krishnamurthi, G., Li, F., Li, H., Li, J., Li, X., Lowengrub, J., Ma, J., Maier-Hein, K., Maninis, K., Meine, H., Merhof, D., Pai, A., Perslev, Mathias, Petersen, J., Pont-Tuset, J., Qi, J., Qi, X., Rippel, O., Roth, K., Sarasua, I., Schenk, A., Shen, Z., Torres, J., Wachinger, C., Wang, C., Weninger, L., Wu, J., Xu, D., Yang, X., Yu, S. C., Yuan, Y., Yue, M., Zhang, L., Cardoso, J., Bakas, S., Braren, R., Heinemann, V., Pal, C., Tang, A., Kadoury, S., Soler, L., van Ginneken, B., Greenspan, H., Joskowicz, L. & Menze, B., 2023, In: Medical Image Analysis. 84, 24 p., 102680.

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

    13. Published

      Towards Automatic Cartilage Quantification in Clinical Trials – Continuing from the 2019 IWOAI Knee Segmentation Challenge

      Dam, E. B., Desai, A. D., Deniz, C. M., Rajamohan, H. R., Regatte, R., Iriondo, C., Pedoia, V., Majumdar, S., Perslev, M., Igel, C., Pai, A., Gaj, S., Yang, M., Nakamura, K., Li, X., Maqbool, H., Irmakci, I., Song, S-E., Bagci, U., Hargreaves, B. & 2 others, Gold, G. & Chaudhari, A., 2023, In: Osteoarthritis Imaging. 3, 1, 9 p., 100087.

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

    14. 2022
    15. 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

    16. 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

    17. 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

    18. 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

    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. 2021
    21. 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

    22. 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

    23. 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

    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

      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, In: Radiology. Artificial intelligence. 3, 3, 13 p., e200078.

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

    26. 2020
    27. 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 contribution › Research

    28. 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

    29. 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

    30. 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 journal › Conference abstract in journal › Research › peer-review

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

    32. 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

    33. 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 proceeding › Article in proceedings › Research

    34. 2019
    35. 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

    36. 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

    37. 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

    38. 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

    39. 2018
    40. 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

    41. Published

      Cartilage cavity: an MRI marker of cartilage lesions in knee OA with Data from CCBR, OAI, and PROOF

      Dam, Erik Bjørnager, Runhaar, J., Bierma-Zienstra, S. & Karsdal, M., 2018, In: Magnetic Resonance in Medicine. 80, 3, p. 1219-1232

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

    42. 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

    43. 2017

    44. 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

    45. Published

      Characterization of errors in deep learning-based brain MRI segmentation

      Pai, A. S. U., Teng, Y., Blair, J. P. M., Kallenberg, M. G. J., Dam, Erik Bjørnager, Sommer, Stefan Horst, Igel, Christian & Nielsen, Mads, 2017, Deep learning for medical image analysis. Zhou, S. K., Greenspan, H. & Shen, D. (eds.). Academic Press, p. 223–242 20 p.

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

    46. Published

      Simple Methods for Scanner Drift Normalization Validated for Automatic Segmentation of Knee Magnetic Resonance Imaging: with data from the Osteoarthritis Initiative

      Dam, Erik Bjørnager, 2017, In: arXiv. 15 p.

      Research output: Contribution to journal › Journal article › Research

    47. 2016
    48. Published

      Deformation-based atrophy computation by surface propagation and its application to Alzheimer’s disease

      Pai, A. S. U., Sporring, Jon, Darkner, Sune, Dam, Erik Bjørnager, Lillholm, Martin, Jørgensen, D., Oh, J., Chen, G., Suhy, J., Sørensen, L. & Nielsen, Mads, 2016, In: SPIE Journal of Medical Imaging. 3, 1, 11 p., 014005.

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

    49. 2015
    50. Published

      Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative

      Dam, Erik Bjørnager, Lillholm, Martin, Marques, J. & Nielsen, Mads, 2015, In: SPIE Journal of Medical Imaging. 2, 2, 13 p., 024001.

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

    51. 2014
    52. Published

      Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI

      Erleben, L. L., Sørensen, L. E., Pai, A. S. U., Dam, Erik Bjørnager, Nielsen, Mads & Initiative, A. D. N., 2014, In: BMC Medical Imaging. 14, 1, 12 p., 21.

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

    53. 2013
    54. 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

    55. Published

      Diagnosis of osteoarthritis and prognosis of tibial cartilage loss by quantification of tibia trabecular bone from MRI

      Marques, J., Genant, H. K., Lillholm, Martin & Dam, Erik Bjørnager, 2013, In: Magnetic Resonance in Medicine. 70, 2, p. 568-575 8 p.

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

    56. 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

    57. 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

    58. 2012
    59. 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

    60. 2011
    61. Published

      Enzyme-linked immunosorbent assay (ELISAs) for metalloproteinase derived type II collagen neoepitope, CIIM--increased serum CIIM in subjects with severe radiographic osteoarthritis

      Bay-Jensen, A., Liu, Q., Byrjalsen, I., Li, Y., Wang, J., Pedersen, C., Leeming, D. J., Dam, Erik Bjørnager, Zheng, Q., Qvist, P. & Karsdal, M. A., Apr 2011, In: Clinical Biochemistry. 44, 5-6, p. 423-9 7 p.

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

    62. 2010
    63. Published

      Which elements are involved in reversible and irreversible cartilage degradation in osteoarthritis?

      Bay-Jensen, A., Hoegh-Madsen, S., Dam, Erik Bjørnager, Henriksen, K., Sondergaard, B. C., Pastoureau, P., Qvist, P. & Karsdal, M. A., Feb 2010, In: Rheumatology International. 30, 4, p. 435-42 8 p.

      Research output: Contribution to journal › Review › Research › peer-review

    64. 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

    65. 2009
    66. 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

    67. 2008
    68. Published

      Toward integrated automated analysis of articular cartilage and trabecular bone in osteoarthritis

      Dam, Erik Bjørnager, Dec 2008, In: Academic Radiology. 15, 12, p. 1479-81 3 p.

      Research output: Contribution to journal › Journal article › Research

    69. 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

    70. Published

      Automatic quantification of local and global articular cartilage surface curvature: biomarkers for osteoarthritis?

      Folkesson, J., Dam, Erik Bjørnager, Olsen, O. F., Karsdal, M. A., Pettersen, P. C. & Christiansen, C., Jun 2008, In: Magnetic Resonance in Medicine. 59, 6, p. 1340-6 7 p.

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

    71. Published

      Automatic shape model building based on principal geodesic analysis bootstrapping

      Dam, Erik Bjørnager, Fletcher, P. T. & Pizer, S. M., Apr 2008, In: Medical Image Analysis. 12, 2, p. 136-51 16 p.

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

    72. Efficient segmentation by sparse pixel classification

      Dam, Erik Bjørnager & Loog, M., 2008, In: IEEE Transactions on Medical Imaging. 27, 10, p. 1525-1534 9 p.

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

    73. 2007
    74. Published

      Accuracy evaluation of automatic quantification of the articular cartilage surface curvature from MRI

      Folkesson, J., Dam, Erik Bjørnager, Olsen, O. F. & Christiansen, C., Oct 2007, In: Academic Radiology. 14, 10, p. 1221-8 8 p.

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

    75. 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

    76. 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

    77. 2005

    78. Automatic Segmentation of the Articular Cartilage in Knee MRI Using a Hierarchical Multi-class Classification Scheme

      Folkesson, J. M., Dam, Erik Bjørnager, Olsen, O. F., Pettersen, P. C. & Christiansen, C., 2005, Medical Image Computing and Computer-Assisted Intervention – MICCAI. <Forlag uden navn>, p. 327-334 (Lecture notes in computer science, Vol. 3749/2005).

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

    79. 2004
    80. 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

    ID: 176815263