Erik Bjørnager Dam

Erik Bjørnager Dam

Professor

Member of:


    1. 2024
    2. Published
    3. Published

      Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet

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

      Research output: Working paperPreprintResearch

    4. 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 proceedingArticle in proceedingsResearchpeer-review

    5. 2023
    6. 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 proceedingArticle in proceedingsResearchpeer-review

    7. 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, M. & Dam, Erik Bjørnager, 2023, In: International Journal of Imaging Systems and Technology. 33, 3, p. 985-998

      Research output: Contribution to journalJournal articleResearchpeer-review

    8. 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 journalJournal articleResearchpeer-review

    9. 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 journalJournal articleResearchpeer-review

    10. 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, M., 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 journalJournal articleResearchpeer-review

    11. 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 journalJournal articleResearchpeer-review

    12. 2022
    13. 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 proceedingArticle in proceedingsResearchpeer-review

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