Research output per year
Research output per year
Personal profile
External positions
Co-founder, Cerebriu A/S (Biz)
2018 → …
Co-founder, Biomediq A/S (Biz)
2008 → …
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge
Pandey, S., Toshali, Perslev, M. & Dam, E. B., 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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CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
Friis-Jensen, U., Johansen, F. L., Anker, A. S., Dam, E. B., Jensen, K. M. Ø. & Selvan, R., 2024, arxiv.org, 16 p.Research output: Working paper › Preprint › Research
Open AccessFile14 Downloads (Pure) -
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
Friis-Jensen, U., Johansen, F. L., Anker, A. S., Dam, E. B., Jensen, K. M. Ø. & Selvan, R., 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, Inc., p. 4962-4973 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile1 Downloads (Pure) -
Equity through Access: A Case for Small-scale Deep Learning
Selvan, R., Pepin, B., Igel, C., Samuel, G. & Dam, E. B., 19 Mar 2024, arxiv.org, 13 p.Research output: Working paper › Preprint › Research
File13 Downloads (Pure) -
Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet
Pandey, S., Changdar, S., Perslev, M. & Dam, E. B., 2024, arxiv.org, 9 p.Research output: Working paper › Preprint › Research
File9 Downloads (Pure) -
Operating Critical Machine Learning Models in Resource Constrained Regimes
Selvan, R., Schön, J. & Dam, E. B., 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
Open AccessFile18 Downloads (Pure) -
Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models
Pandey, S., Chen, K. F. & Dam, E. B., 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
Open AccessFile21 Citations (Scopus)6 Downloads (Pure) -
Multi‐planar 3D knee MRI segmentation via UNet inspired architectures
Sengar, S. S., Meulengracht, C., Boesen, M. P., Overgaard, A. F., Gudbergsen, H., Nybing, J. D., Perslev, M. & Dam, E. B., 2023, In: International Journal of Imaging Systems and Technology. 33, 3, p. 985-998Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Citations (Scopus)28 Downloads (Pure)
Activities
- 1 Lecture and oral contribution
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Kunstig intelligens som løftestang for den grønne omstilling
Erik Bjørnager Dam (Other)
24 Apr 2023Activity: Talk or presentation types › Lecture and oral contribution
Press/Media
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Data Science Lab tester deep learning over for klassisk billedanalyse i planteforskning
13/09/2018
1 Media contribution
Press/Media: Press / Media