Raphael Brüngel, M.Sc.

2020:

• A. Mech et al., The NanoDefine Methods Manual. Luxembourg: Publications Office of the European Union, 2020. doi: 10.2760/79490. Available: https://op.europa.eu/en/publication-detail/-/publication/9d60fd79-4244-11ea-9099-01aa75ed71a1/language-en
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2026:

• B. Ionescu et al., “Overview of ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications,” in Experimental IR Meets Multilinguality, Multimodality, and Interaction: 16th International Conference of the CLEF Association, CLEF 2025, Madrid, Spain, September 9–12, 2025, Proceedings, in Lecture Notes in Computer Science, no. 16089. Cham: Springer, 2026, pp. 290–314. doi: 10.1007/978-3-032-04354-2_17
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2025:

• R. Brüngel et al., “Diabetic Foot Ulcer Grand Challenge 2024: Overview and Baseline Methods,” in Diabetic Foot Ulcers Grand Challenge, in Lecture Notes in Computer Science. Cham: Springer Nature, 2025, pp. 109–124. doi: 10.1007/978-3-031-80871-5_10
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• B. Ionescu et al., “ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications,” in Advances in Information Retrieval: 47th European Conference on Information Retrieval, Berlin: Springer, 2025, pp. 398–406. doi: 10.1007/978-3-031-88720-8_60
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2024:

• B. Ionescu et al., “Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024,” in Advances in Information Retrieval: 46th European Conference on Information Retrieval, Cham: Springer Nature, 2024, pp. 44–52. doi: 10.1007/978-3-031-56072-9_6
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• B. Ionescu et al., “Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications,” in Experimental IR Meets Multilinguality, Multimodality, and Interaction: 15th International Conference of the CLEF Association, CLEF 2024, Grenoble, France, September 9–12, 2024, Proceedings, in Lecture Notes in Computer Science, no. 14959. Cham: Springer, 2024, pp. 140–164. doi: 10.1007/978-3-031-71908-0_7
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• J. Rückert et al., “Overview of ImageCLEFmedical 2024 – Caption Prediction and Concept Detection,” in Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Aachen: CEUR-WS.org, 2024, pp. 1437–1455. Available: https://ceur-ws.org/Vol-3740/paper-132.pdf
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2023:

• R. Brüngel, S. Koitka, and C. M. Friedrich, “Unconditionally Generated and Pseudo-Labeled Synthetic Images for Diabetic Foot Ulcer Segmentation Dataset Extension,” in Diabetic Foot Ulcers Grand Challenge - Third Challenge, Held in Conjunction with MICCAI 2022, Cham: Springer, 2023, pp. 65–79.
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• B. Ionescu et al., “ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications,” in Advances in Information Retrieval: 45th European Conference on Information Retrieval, Cham: Springer, 2023, pp. 557–567. doi: 10.1007/978-3-031-28241-6_64
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• B. Ionescu et al., “Overview of the ImageCLEF 2023,” in Experimental IR Meets Multilinguality, Multimodality, and Interaction: 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18–21, 2023, Proceedings, Cham: Springer Nature, 2023, pp. 370–396. doi: 10.1007/978-3-031-42448-9_25. Available: https://link.springer.com/chapter/10.1007/978-3-031-42448-9_25
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• J. Rückert et al., “Overview of ImageCLEFmedical 2023 – Caption Prediction and Concept Detection,” in CLEF 2023 Working Notes, Aachen, Germany: CEUR Workshop Proceedings, 2023, pp. 1328–1346. Available: https://ceur-ws.org/Vol-3497/paper-108.pdf
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• M. Eisenmann et al., “Why is the Winner the Best?,” in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New York, USA: Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 19955–19966. doi: 10.1109/cvpr52729.2023.01911
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• R. Brüngel, B. Bracke, J. Rückert, and C. M. Friedrich, “Teaching Machine Learning with Industrial Projects in a Joint Computer Science Master Course: Experiences, Challenges, Perspectives,” in 2023 IEEE 2nd German Education Conference (GECon), New York, NY: IEEE, 2023, pp. 1–6. doi: 10.1109/gecon58119.2023.10295130. Available: https://ieeexplore.ieee.org/document/10295130
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• K. Meiszl et al., “App-Guided ICAROS Pro Training via SteamVR Tracking 2.0 and Zephyr BioHarness 3.0,” in 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Piscataway, NJ: IEEE, 2023, pp. 430–435. doi: 10.1109/idaacs58523.2023.10348820. Available: https://dx.doi.org/10.1109/idaacs58523.2023.10348820
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2022:

• A. G. Seco de Herrera et al., “ImageCLEF 2022: multimedia retrieval in medical, nature, fusion and internet applications,” in Advances in Information Retrieval: 44th European Conference on IR Research, in Lecture Notes in Computer Science, no. 13186. Cham: Springer International Publishing, 2022, pp. 382–389. doi: 10.1007/978-3-030-99739-7_48
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• L. Bloch, R. Brüngel, and C. M. Friedrich, “Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers,” in Diabetic Foot Ulcers Grand Challenge - Second Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, Cham: Springer International Publishing, 2022, pp. 30–49.
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2021:

• R. Brüngel and C. M. Friedrich, “DETR and YOLOv5: Exploring Performance and Self-Training for Diabetic Foot Ulcer Detection,” in 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), Los Alamitos: IEEE Computer Society, 2021, pp. 148–153. doi: 10.1109/cbms52027.2021.00063. Available: https://ieeexplore.ieee.org/document/9474729
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2019:

• T. Ameler et al., “A Comparative Evaluation of SteamVR Tracking and the OptiTrack System for Medical Device Tracking,” in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Piscataway, NJ: IEEE, 2019, pp. 1465–1470. doi: 10.1109/embc.2019.8856992. Available: https://ieeexplore.ieee.org/document/8856992
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2017:

• R. Brüngel et al., “The NanoDefiner e-tool,” in Proceedings of the 2017 IEEE Nanotechnology Material and Devices Conference, Piscataway, NJ: IEEE, 2017, pp. 71–72. doi: 10.1109/nmdc.2017.8350509
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2025:

• K. Meiszl et al., “Conventional Training Integrated with SteamVR Tracking 2.0: Body Stability and Coordination Training Evaluation on ICAROS Pro,” Sensors, vol. 25, no. 9, p. 2840, 2025, doi: 10.3390/s25092840. Available: https://www.mdpi.com/1424-8220/25/9/2840
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• B. Cassidy et al., “An enhanced harmonic densely connected hybrid transformer network architecture for chronic wound segmentation utilising multi-colour space tensor merging,” Computers in Biology and Medicine, vol. 192, p. 110172, 2025, doi: 10.1016/j.compbiomed.2025.110172. Available: https://www.sciencedirect.com/science/article/pii/S0010482525005232
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2024:

• M. H. Yap et al., “Diabetic foot ulcers segmentation challenge report: Benchmark and analysis,” Medical Image Analysis, pp. 103153–103153, 2024, doi: 10.1016/j.media.2024.103153. Available: https://www.sciencedirect.com/science/article/pii/S1361841524000781
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• J. Rückert et al., “ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset,” Scientific Data, vol. 11, no. 1, p. 688, 2024, doi: 10.1038/s41597-024-03496-6. Available: https://www.nature.com/articles/s41597-024-03496-6
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2023:

• L. Kuhlmann de Canaviri et al., “Static and Dynamic Accuracy and Occlusion Robustness of SteamVR Tracking 2.0 in Multi-Base Station Setups,” Sensors, vol. 23, no. 2, pp. 725–725, 2023, doi: 10.3390/s23020725
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• R. Brüngel et al., “NanoDefiner Framework and e-Tool Revisited According to the European Commission’s Nanomaterial Definition 2022/C 229/01,” Nanomaterials, vol. 13, no. 6, pp. 990–990, 2023, doi: 10.3390/nano13060990
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2022:

• M. Eisenmann et al., “Biomedical image analysis competitions: The state of current participation practice,” arXiv, 2022, doi: 10.48550/arxiv.2212.08568. Available: https://arxiv.org/abs/2212.08568
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2021:

• M. H. Yap et al., “Deep learning in diabetic foot ulcers detection: A comprehensive evaluation,” Computers in Biology and Medicine, no. 135, 2021, doi: 10.1016/j.compbiomed.2021.104596
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2020:

• A. Mech et al., “Nano or not nano? A structured approach for identifying nanomaterials according to the European Commission’s definition,” Small : nano micro, vol. 16 (2020), no. 36, pp. 1–16, 2020.
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2019:

• R. Brüngel, J. Rückert, and C. M. Friedrich, “DiffPro-ML: Unterstützung differenzierter, projektorientierter Lehre für maschinelles Lernen,” presented at the 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V., 2019, p. 287. doi: 10.3205/19gmds122. Available: https://www.egms.de/static/en/meetings/gmds2019/19gmds122.shtml
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2025:

• H. Damm et al., Organisation 9th ImageCLEFmedical - Caption task und Organisation des Tasks auf dem CLEF Labs Workshop. 2025.
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2024:

• J. Rückert et al., Organisation 8th ImageCLEFmedical - Caption task und Organisation des Tasks auf dem CLEF Labs Workshop. 2024. Available: https://www.imageclef.org/2024/medical/caption
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2023:

• R. Brüngel, IEEE Programme Committee Member. 2023.
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• C. Friedrich, A. Idrissi-Yaghir, H. Schäfer, R. Brüngel, J. Rückert, and L. Bloch, Organisation 7th ImageCLEFmedical - Caption task und Organisation des Tasks auf dem CLEF Labs Workshop. 2023. Available: https://www.imageclef.org/2023/medical/caption/
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