Erik Bjørnager Dam
Professor
- 2024
- 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
- Published
- 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
- 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
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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
- 2023
- 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. 2584-2590Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 985-998Research output: Contribution to journal › Journal article › Research › peer-review
- 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. 603–616Research output: Contribution to journal › Journal article › Research › peer-review
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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, , 2023, In: Osteoarthritis and Cartilage. 31, p. 115-125Research output: Contribution to journal › Journal article › Research › peer-review
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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, , 2023, In: Medical Image Analysis. 84, 24 p., 102680.Research output: Contribution to journal › Journal article › Research › peer-review
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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, , 2023, In: Osteoarthritis Imaging. 3, 1, 9 p., 100087.Research output: Contribution to journal › Journal article › Research › peer-review
- 2022
- 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
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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. 1959–1966Research output: Contribution to journal › Journal article › 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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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. 1142-1153Research output: Contribution to journal › Journal article › Research › peer-review
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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
- 2021
- 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
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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. 1-21Research output: Contribution to journal › Conference article › Research › peer-review
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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
- 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
- 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
- 2020
- 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 2020Research output: Other contribution › Research
- 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
- 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
- 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, , 2020, In: Osteoarthritis and Cartilage Open. 28, Suppl. 1, p. 5304-5305Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
ID: 176815263
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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
Published -
339
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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
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