Erik Bjørnager Dam
Professor
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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
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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
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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. 1650-1663Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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. 2584-2590Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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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
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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
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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
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3477
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Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI
Research output: Contribution to journal › Journal article › Research › peer-review
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338
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Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
279
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Wheel rutting: preliminary investigations of soil redox potential and automated monitoring of their presence using machine learning and highresolution LiDAR data
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
Published