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Publikationen
Monographie
- 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-enPublikation öffnen
Sammelbandbeitrag
- L. Bloch and C. M. Friedrich, “Developing a machine learning workflow to explain black-box models for Alzheimer’s disease classification,” in BIOSTEC 2021 : proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies : online streaming, February 11-13, 2021, Sétubal: SCITEPRESS - Science and Technology Publications, 2021, pp. 87–99.Publikation öffnen
- L. Bloch and C. M. Friedrich, “Using Bayesian optimization to effectively tune random forest and XGBoost hyperparameters for early Alzheimer’s disease diagnosis,” in Wireless Mobile Communication and Healthcare : 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings, Cham: Springer International Publishing, 2021, pp. 285–299.Publikation öffnen
- L. Bloch et al., “Combination of image and location information for snake species identification using object detection and EfficientNets,” in CLEF 2020: CLEF 2020 working notes : working notes of CLEF 2020 - Conference and Labs of the Evaluation Forum : Thessaloniki, Greece, September 22-25, 202, Aachen: RWTH Aachen, 2020, p. ohne Seitenangabe–ohne Seitenangabe.Publikation öffnen
- O. Pelka, F. Nensa, and C. M. Friedrich, “Optimizing body region classification with deep convolutional activation features,” in Computer Vision - ECCV 2018 workshops : Munich, Germany, September 8-14, 2018, Proceedings, Part IV, Cham: Springer International Publishing, 2019, pp. 699–704.Publikation öffnen
- M. Eckert, M. Blex, and C. M. Friedrich, “Object detection featuring 3D audio localization for Microsoft HoloLens,” in BIOSTEC 2018 : Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Setúbal: SCITEPRESS - Science and Technology Publications, Lda, 2018, pp. 555–561.Publikation öffnen
- C. Ehmke, F. Wessling, and C. M. Friedrich, “Proof-of-Property - a lightweight and scalable blockchain protocol,” in 2018 ACM/IEEE 1st International Workshop on Emerging Trends in Software Engineering for Blockchain : WETSEB 2018 : 27 May 2018, Gothenburg, Sweden : proceedings, Piscataway, NJ: IEEE, 2018, pp. 48–51.Publikation öffnen
- O. Pelka, S. Koitka, J. Rückert, F. Nensa, and C. M. Friedrich, “Radiology Objects in Context (ROCO),” in Intravascular imaging and computer assisted stenting and large-scale annotation of biomedical data and expert label synthesis : 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, proceedings, Cham: Springer International Publishing, 2018, pp. 180–189.Publikation öffnen
- O. Pelka, F. Nensa, and C. M. Friedrich, “Adopting semantic information of grayscale radiographs for image classification and retrieval,” in BIOSTEC 2018 : Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Setúbal: SCITEPRESS - Science and Technology Publications, Lda, 2018, pp. 179–187.Publikation öffnen
- M. Trotzek, S. Koitka, and C. M. Friedrich, “Early detection of depression based on linguistic metadata augmented classifiers revisited,” in Experimental IR meets multilinguality, multimodality, and interaction : 9th International Conference of the CLEF Association, CLEF 2018, Avignon, France, September 10-14, 2018, proceedings, Cham: Springer International Publishing, 2018, pp. 191–202.Publikation öffnen
- M. Trotzek, S. Koitka, and C. M. Friedrich, “Word embeddings and linguistic metadata at the CLEF 2018 Tasks for early detection of depression and anorexia,” in Experimental IR meets multilinguality, multimodality, and interaction : 9th International Conference of the CLEF Association, CLEF 2018, Avignon, France, September 10-14, 2018, proceedings, Cham: Springer International Publishing, 2018, pp. 1–15.Publikation öffnen
- A. Fritzler, S. Koitka, and C. M. Friedrich, “Recognizing bird species in audio files using transfer learning,” in CLEF 2017 working notes : working notes of CLEF 2017 - Conference and Labs of the Evaluation Forum : Dublin, Ireland, September 11-14, 2017, Aachen: RWTH Aachen, 2017, p. ohne Seitenangabe–ohne Seitenangabe. Available: https://ceur-ws.org/Vol-1866/Publikation öffnen
- S. Koitka and C. M. Friedrich, “Optimized convolutional neural network ensembles for medical subfigure classification,” in Experimental IR meets multilinguality, multimodality, and interaction : 9th International Conference of the CLEF Association, CLEF 2018, Avignon, France, September 10-14, 2018, proceedings, Cham: Springer International Publishing, 2017, pp. 57–68.Publikation öffnen
- A. Ludwig, H. Piorek, A. Kelch, D. Rex, S. Koitka, and C. M. Friedrich, “Improving model performance for plant image classification with filtered noisy images,” in CLEF 2017 working notes : working notes of CLEF 2017 - Conference and Labs of the Evaluation Forum : Dublin, Ireland, September 11-14, 2017, Aachen: RWTH Aachen, 2017, p. ohne Seitenangabe–ohne Seitenangabe.Publikation öffnen
- O. Pelka and C. M. Friedrich, “Keyword generation for biomedical image retrieval with recurrent neural networks,” in CLEF 2017 working notes : working notes of CLEF 2017 - Conference and Labs of the Evaluation Forum : Dublin, Ireland, September 11-14, 2017, Aachen: RWTH Aachen, 2017, p. ohne Seitenangabe–ohne Seitenangabe.Publikation öffnen
- M. Trotzek, S. Koitka, and C. M. Friedrich, “Linguistic metadata augmented classifiers at the CLEF 2017 task for early detection of depression,” in CLEF 2017 working notes : working notes of CLEF 2017 - Conference and Labs of the Evaluation Forum : Dublin, Ireland, September 11-14, 2017, Aachen: RWTH Aachen, 2017, p. ohne Seitenangabe–ohne Seitenangabe.Publikation öffnen
- D. Müller, S. Plöger, and C. M. Friedrich, “Random-Forest-Implementierung auf SAP HANA,” in Schriftenreihe des Fachbereichs Informatik der Fachhochschule Dortmund, Band 2, Münster: Verlagshaus Monsenstein und Vannerdat, 2016, p. ohne Seitenangabe–ohne Seitenangabe.Publikation öffnen
- S. Koitka and C. M. Friedrich, “Traditional feature engineering and deep learning approaches at medical classification task of ImageCLEF 2016,” in Working notes of CLEF 2016 : conference and labs of the evaluation forum, Évora, Portugal, 5-8 September 2016, Aachen: Sun SITE Central Europe, 2016, pp. 304–317. Available: https://ceur-ws.org/Vol-1609/Publikation öffnen
- I. Chebouti and C. M. Friedrich, “Association between tumor infiltrating immune cells, circulating tumor cells in blood and disseminated tumor cells in the bone marrow in patients with primary ovarian cancer,” in Proceedings : AACR 106th annual meeting 2015 ; April 18-22, 2015, Philadelphia, PA, Philadelphia, PA: American Association for Cancer Research, 2015, p. ohne Seitenangabe–ohne Seitenangabe.Publikation öffnen
- O. Pelka and C. M. Friedrich, “FHDO biomedical computer science group at medical classication task of ImageCLEF 2015,” in CLEF 2015 working notes : working notes of CLEF 2015 - Conference and Labs of the Evaluation forum, Toulouse, France, September 8 - 11, 2015, unbekannter Ort: Verlag unbekannt, 2015, p. ohne Seitenangabe–ohne Seitenangabe.Publikation öffnen
- M. Hülsmann, D. Borscheid, and C. M. Friedrich, “General sales forecast models for automobile markets based on time series analysis and data mining techniques,” in Advances in data mining : applications and theoretical aspects, Berlin: Springer-Verlag, 2011, pp. 255–269.Publikation öffnen
- H. Gurulingappa, B. Müller, and C. M. Friedrich, “Prior art search in chemistry patents based on semantic concepts and co-citation analysis,” in The nineteenth text REtrieval conference (TREC 2010) proceedings, Gaithersburg, MD: NIST, 2010, pp. 1–9. Available: https://dblp.dagstuhl.de/db/conf/trec/trec2010.htmlPublikation öffnen
Konferenzpaper
- J. Rückert, L. Bloch, and C. M. Friedrich, “Evaluating Compliance with Visualization Guidelines in Diagrams for Scientific Publications Using Large Vision Language Models,” in Proceedings of the International Conference on Document Analysis and Recognition (ICDAR 2025), Cham: Springer Nature, 2026, pp. 3–21. doi: 10.1007/978-3-032-04630-7_1Publikation öffnen
- 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_17Publikation öffnen
- 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_10Publikation öffnen
- L. Bloch, J. Rückert, and C. M. Friedrich, “Towards Automatic Formal Feedback on Scientific Documents,” in Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025), Stroudsburg: Association for Computational Linguistics (ACL), 2025, pp. 334–344. doi: 10.18653/v1/2025.bea-1.26Publikation öffnen
- T. Pakull, H. Damm, H. Schäfer, P. Horn, and C. Friedrich, “WisPerMed @ PerAnsSumm 2025: Strong Reasoning Through Structured Prompting and Careful Answer Selection Enhances Perspective Extraction and Summarization of Healthcare Forum Threads,” in Proceedings of the Second Workshop on Patient-Oriented Language Processing, Stroudsburg: Association for Computational Linguistics (ACL), 2025. doi: 10.18653/v1/2025.cl4health-1.32Publikation öffnen
- T. Pakull et al., “Preliminary Evaluation of an Open-Source LLM for Lay Translation of German Clinical Documents,” in Proceedings of the Second Workshop on Patient-Oriented Language Processing, Stroudsburg: Association for Computational Linguistics (ACL), 2025. doi: 10.18653/v1/2025.cl4health-1.15Publikation öffnen
- M. Sondermann, P. Bisgin, N. Tschorn, A. Burmann, and C. M. Friedrich, “Comparative Analysis of CNN and Transformer Architectures with Heart Cycle Normalization for Automated Phonocardiogram Classification,” in 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Piscataway, NJ: IEEE, 2025. doi: 10.1109/embc58623.2025.11251770Publikation öffnen
- H. Schäfer et al., “A Multimodal Pipeline for Clinical Data Extraction: Applying Vision-Language Models to Scans of Transfusion Reaction Reports,” in 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Piscataway, NJ: IEEE, 2025. doi: 10.1109/embc58623.2025.11254237Publikation öffnen
- 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_60Publikation öffnen
- 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_6Publikation öffnen
- H. Damm et al., “WisPerMed at “Discharge Me!”: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV,” in Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, Stroudsburg: Association for Computational Linguistics (ACL), 2024, pp. 105–121. doi: 10.18653/v1/2024.bionlp-1.9. Available: https://aclanthology.org/2024.bionlp-1.9.pdfPublikation öffnen
- S. Püttmann et al., “Automated classification of celiac disease in histopathological images: a multi-scale approach,” in Medical Imaging 2024: Computer-Aided Diagnosis, USA: Society of Photo-Optical Instrumentation Engineers (SPIE), 2024. doi: 10.1117/12.3006669Publikation öffnen
- 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_7Publikation öffnen
- T. M. G. Pakull, H. Damm, A. Idrissi-Yaghir, H. Schäfer, P. A. Horn, and C. M. Friedrich, “WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articles,” in Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, Stroudsburg: Association for Computational Linguistics (ACL), 2024, pp. 769–779. doi: 10.18653/v1/2024.bionlp-1.70. Available: https://aclanthology.org/2024.bionlp-1.70/Publikation öffnen
- 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.pdfPublikation öffnen
- A. Idrissi-Yaghir et al., “Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding,” in Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), null: ELRA and ICCL, 2024, pp. 3654–3665. doi: 10.48550/arxiv.2404.05694. Available: https://aclanthology.org/2024.lrec-main.324/Publikation öffnen
- 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.Publikation öffnen
- 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_64Publikation öffnen
- L. Bloch, J. Rückert, and C. M. Friedrich, “PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints Using Literature Databases,” in Linking Theory and Practice of Digital Libraries, in Lecture Notes in Computer Science, no. 14241. Cham: Springer, 2023, pp. 47–61. doi: 10.1007/978-3-031-43849-3_5Publikation öffnen
- 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_25Publikation öffnen
- 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.pdfPublikation öffnen
- B. Bracke, M. Bagherifar, L. Bloch, and C. M. Friedrich, “Joint Feature Learning of Image Data with Embedded Metadata to Leverage Snake Species Classification,” in CLEF 2023 Working Notes, Aachen, Germany: CEUR Workshop Proceedings, 2023, pp. 2007–2034. Available: https://ceur-ws.org/Vol-3497/paper-170.pdfPublikation öffnen
- 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/cvpr52729.2023.01911Publikation öffnen
- 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/10295130Publikation öffnen
- 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/idaacs58523.2023.10348820Publikation öffnen
- A. Dada et al., “On the Impact of Cross-Domain Data on German Language Models,” in Findings of the Association for Computational Linguistics: EMNLP 2023, Stroudsburg: Association for Computational Linguistics (ACL), 2023, pp. 13801–13813. doi: 10.18653/v1/2023.findings-emnlp.922. Available: https://aclanthology.org/2023.findings-emnlp.922/Publikation öffnen
- 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_48Publikation öffnen
- 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.Publikation öffnen
- H. Schäfer, H. Damm, and C. M. Friedrich, “Heart Rate Estimation Based on Optical Flow : Enabling Smooth Angle Changes in Ultrasound Simulation,” in 15th International Joint Conference on Biomedical Engineering Systems and Technologies, Red Hook, NY: Curran Associates, Inc., 2022, pp. 236–243.Publikation öffnen
- B. Dongmo Ngnintedem, E. Mense, J. Rückert, and C. M. Friedrich, “Classification and Direction Detection of Ambient Sounds on Microsoft HoloLens to Support Hearing-impaired People,” in 15th International Joint Conference on Biomedical Engineering Systems and Technologies, Red Hook, NY: Curran Associates, Inc., 2022, pp. 857–863.Publikation öffnen
- L. Bloch and C. M. Friedrich, “Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer’s Disease Detection with Machine Learning,” in 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), Los Alamitos: IEEE Computer Society, 2021, pp. 113–118. doi: 10.1109/cbms52027.2021.00096Publikation öffnen
- O. Pelka, A. Ben Abacha, A. Garcia Seco de Herrera, J. Jacutprakart, C. M. Friedrich, and H. Müller, “Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task,” in Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Aachen: CEUR-WS.org, 2021, pp. 1101–1112.Publikation öffnen
- L. Bloch and C. M. Friedrich, “EfficientNets and Vision Transformers for Snake Species Identification Using Image and Location Information,” in Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Aachen: CEUR-WS.org, 2021, pp. 1477–1498.Publikation öffnen
- 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/9474729Publikation öffnen
- 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/8856992Publikation öffnen
- 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.2017.8350509Publikation öffnen
Konferenzposter
- A. Stang, H. Schäfer, A. Idrissi-Yaghir, C. Friedrich, and M. P. Fox, “Statistische Inferenz und Effektmaße in Abstracts der wichtigsten HIV- und AIDS-Fachzeitschriften, 1987–2022: Eine systematische Übersicht,” presented at the 70. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V., 2025. doi: 10.3205/25gmds031Publikation öffnen
Journalartikel
- L. Bloch, K. Borys, F. Nensa, and C. M. Friedrich, “MRI-based Radiomics and volumetrics for predicting the onset of Alzheimer’s Disease with explainable machine learning,” NeuroImage, 2026, doi: 10.1016/j.neuroimage.2026.121813Publikation öffnen
- K. Arzideh et al., “A Transformer-Based Pipeline for German Clinical Document De-Identification,” Applied Clinical Informatics, vol. 16, no. 1, pp. 31–43, 2025, doi: 10.1055/a-2424-1989Publikation öffnen
- J. Haubold et al., “Moving Beyond CT Body Composition Analysis,” Investigative Radiology, 2025, doi: 10.1097/rli.0000000000001162Publikation öffnen
- 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/1424-8220/25/9/2840Publikation öffnen
- 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/S0010482525005232Publikation öffnen
- A. Antony, W. Theimer, G. Grossetti, and C. M. Friedrich, “Acoustic Event Detection in Vehicles: A Multi-Label Classification Approach,” Sensors, vol. 25, no. 8, p. 2591, 2025, doi: 10.3390/s25082591Publikation öffnen
- A. Idrissi-Yaghir et al., “Comparative analysis of international melanoma guidelines,” EJC Skin Cancer, vol. 3, p. 100732, 2025, doi: 10.1016/j.ejcskn.2025.100732. Available: https://dx.doi.org/10.1016/j.ejcskn.2025.100732Publikation öffnen
- C. S. Schmidt et al., “A Real-Time Dashboard for Optimizing Blood Product Utilization Through a FHIR-Based Data Integration Pipeline,” Transfusion and Apheresis Science, vol. 65, no. 1, p. 104301, 2025, doi: 10.1016/j.transci.2025.104301Publikation öffnen
- A. Stang, H. Schäfer, A. Idrissi-Yaghir, C. M. Friedrich, and M. P. Fox, “Statistical inference and effect measures in abstracts of major HIV and AIDS journals, 1987–2022: A systematic review,” Global Epidemiology, vol. 10, p. 100213, 2025, doi: 10.1016/j.gloepi.2025.100213Publikation öffnen
- S. S. Becker et al., “SALT: Introducing a framework for hierarchical segmentations in medical imaging using label trees,” Scientific Reports, vol. 15, p. 44140, 2025, doi: 10.1038/s41598-025-31639-1Publikation öffnen
- A. Idrissi-Yaghir et al., “Response to Letter: Re: “Comparative analysis of international melanoma guidelines,”” EJC Skin Cancer, vol. 3, p. 100752, 2025, doi: 10.1016/j.ejcskn.2025.100752Publikation öffnen
- K. Borys et al., “Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification,” npj Digital Medicine, vol. 8, p. 611, 2025, doi: 10.1038/s41746-025-02016-zPublikation öffnen
- K. Borys et al., “Fully volumetric body composition analysis for prognostic overall survival stratification in melanoma patients,” Journal of Translational Medicine, vol. 23, no. 1, p. 532, 2025, doi: 10.1186/s12967-025-06507-1Publikation öffnen
- K. Arzideh et al., “From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reports,” Computers in Biology and Medicine, vol. 195, p. 110665, 2025, doi: 10.1016/j.compbiomed.2025.110665Publikation öffnen
- K. Borys et al., “DermaDashboard: Bridging the Gap Between FHIR Standards and Clinical Usability,” JMIR Cancer, vol. 11, p. e73691, 2025, doi: 10.2196/73691Publikation öffnen
- A. Idrissi-Yaghir et al., “Using a Diverse Test Suite to Assess Large Language Models on Fast Health Care Interoperability Resources Knowledge: Comparative Analysis,” Journal of Medical Internet Research, vol. 27, p. e73540, 2025, doi: 10.2196/73540Publikation öffnen
- L. Bloch and C. Friedrich, “Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer’s Disease detection,” Computers in Biology and Medicine, vol. 170, pp. 108029–108029, 2024, doi: 10.1016/j.compbiomed.2024.108029Publikation öffnen
- L. Anozie, B. Fink, C. M. Friedrich, and C. Engels, “Monitoring Flow-Forming Processes Using Design of Experiments and a Machine Learning Approach Based on Randomized-Supervised Time Series Forest and Recursive Feature Elimination,” Sensors, vol. 24, no. 5, 2024, doi: 10.3390/s24051527Publikation öffnen
- 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/S1361841524000781Publikation öffnen
- 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/s41597-024-03496-6Publikation öffnen
- H. Schäfer et al., “BioKGrapher: Initial evaluation of automated knowledge graph construction from biomedical literature,” Computational and Structural Biotechnology Journal, 2024, doi: 10.1016/j.csbj.2024.10.017Publikation öffnen
- 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/s23020725Publikation öffnen
- 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/nano13060990Publikation öffnen
- A. Idrissi-Yaghir, H. Schäfer, N. Bauer, and C. M. Friedrich, “Domain Adaptation of Transformer-Based Models Using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback,” SN Computer Science, no. 4, 2023, doi: 10.1007/s42979-022-01563-6Publikation öffnen
- K. Borys et al., “Explainable AI in medical imaging: an overview for clinical practitioners,” European Journal of Radiology, vol. 162, 2023, doi: 10.1016/j.ejrad.2023.110787Publikation öffnen
- H. Schäfer, A. Idrissi-Yaghir, J. Bewersdorff, S. Frihat, C. M. Friedrich, and T. Zesch, “Medication event extraction in clinical notes: Contribution of the WisPerMed team to the n2c2 2022 challenge,” Journal of Biomedical Informatics, vol. 143, p. 104400, 2023, doi: 10.1016/j.jbi.2023.104400Publikation öffnen
- 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/2212.08568Publikation öffnen
- 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.2021.104596Publikation öffnen
- L. Bloch and C. M. Friedrich, “Data analysis with Shapley values for automatic subject selection in Alzheimer’s disease data sets using interpretable machine learning,” Alzheimer’s Research & Therapy, vol. 13, no. 1, 2021.Publikation öffnen
- O. Pelka et al., “Sociodemographic data and APOE-ɛ4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systems,” PLOS ONE, vol. 2020, p. ohne Seitenangabe–ohne Seitenangabe, 2020.Publikation öffnen
- M. K. Bakker, R. A. A. van der Spek, and C. M. Friedrich, “Genome-wide association study of intracarnial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors,” Nature genetics, vol. 2020, no. 12, pp. 1303–1313, 2020.Publikation öffnen
- 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.Publikation öffnen
- S. Koitka, M. S. Kim, M. Qu, A. Fischer, C. M. Friedrich, and F. Nensa, “Mimicking the radiologists’ workflow: estimating pediatric hand bone age with stacked deep neural networks,” Medical image analysis : MedIA ; an international journal of computer vision, visualization and image- guided intervention in medicine, vol. 64 (2020), p. ohne Seitenangabe–ohne Seitenangabe, 2020.Publikation öffnen
- D. Nashan, C. M. Friedrich, E. Geissler, A. Schmitt-Graeff, F. Klein, and F. Meiss, “Primär kutane Lymphome - eine Fallserie von 163 Patienten,” Der Hautarzt : Zeitschrift für Dermatologie, Venerologie und verwandte Gebiete, vol. 69 (2018), no. 12, pp. 1014–1020, 2018.Publikation öffnen
- O. Pelka, F. Nensa, and C. M. Friedrich, “Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks,” PLOS ONE, vol. 2018, p. ohne Seitenangabe–ohne Seitenangabe, 2018.Publikation öffnen
- J. Müthing, T. Jäschke, and C. M. Friedrich, “Client-focused security assessment of mHealth apps and recommended practices to prevent or mitigate transport security issues,” JMIR mhealth and uhealth, vol. 5 (2017), no. 10, pp. 1–12, 2017.Publikation öffnen
- O. Pelka and C. M. Friedrich, “Modality prediction of biomedical literature images using multimodal feature representation = Klassifikation von Bildern der biomedizinischen Literatur unter Anwendung multimodaler Merkmale,” GMS Medizinische Informatik, Biometrie und Epidemiologie : MIBE, vol. 12 (2016), no. 2, p. ohne Seitenangabe–ohne Seitenangabe, 2016.Publikation öffnen
- F. N. G. van’t Hof, Y. M. Ruigrok, and C. M. Friedrich, “Shared genetic risk factors of intracranial, abdominal and thoracic aneurysms,” Stroke : journal of the American Heart Association, vol. 5 (2016), no. 7, p. ohne Seitenangabe–ohne Seitenangabe, 2016.Publikation öffnen
- S. Koitka and C. M. Friedrich, “nmfgpu4R: GPU-accelerated computation of the Non-Negative Matrix Factorization (NMF) using CUDA capable hardware,” The R journal, vol. 8 (2016), no. 2, pp. 382–392, 2016.Publikation öffnen
- P. Bijlenga, C. Ebeling, and C. M. Friedrich, “Risk of rupture of small anterior communicating artery aneurysms is similar to posterior circulation aneurysms,” Stroke : a journal of cerebral circulation, vol. 44 (2013), no. 11, pp. 3018–3026, 2013.Publikation öffnen
- S. Sahadevan, M. Hofmann-Apitius, and C. M. Friedrich, “Text mining in livestock animal science,” Journal of animal science, vol. 90 (2012), no. 10, pp. 3666–3676, 2012.Publikation öffnen
- E. Younesi, L. Toldo, and C. M. Friedrich, “Mining biomarker information in biomedical literature,” BMC medical informatics and decision making, p. ohne Seitenangabe–ohne Seitenangabe, 2012.Publikation öffnen
- M. Hülsmann, D. Borscheid, and C. M. Friedrich, “General sales forecast models for automobile markets and their analysis,” Transactions on machine learning and data mining, vol. 5 (2012), no. 2, pp. 65–86, 2012.Publikation öffnen
- G. Üstünkar, S. Özöğür-Akyüz, and C. M. Friedrich, “Selection of representative SNP sets for genome-wide association studies,” Optimization letters, vol. 6 (2012), no. 6, pp. 1207–1218, 2012.Publikation öffnen
- P. E. Thomas, R. Klinger, and C. M. Friedrich, “Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers,” BMC bioinformatics, vol. 12 (2011), no. Supplement 4, p. ohne Seitenangabe–ohne Seitenangabe, 2011.Publikation öffnen
- S. Benkner, A. Arbona, and C. M. Friedrich, “neurIST,” IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 14 (2010), no. 6, pp. 1365–1377, 2010.Publikation öffnen
Heft/Sonderheft einer Zeitschrift
- C. M. Friedrich and S. Girard, Eds., “Feature Papers in Sensing and Imaging 2024,” Sensors, 2024. Available: https://www.mdpi.com/journal/sensors/special_issues/Q5HM26CY1CPublikation öffnen
Meeting Abstract
- 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.shtmlPublikation öffnen
Wissenschaftlicher Vortrag
- C. M. Friedrich, Information Extraction and Explainable Machine Learning at the Point-of-Care. 2024.Publikation öffnen
- J. Rückert, L. Bloch, and C. Friedrich, IPPOLIS Write: Automatisiertes Feedback zur Unterstützung des wissenschaftlichen Schreibens. 2024.Publikation öffnen
- C. M. Friedrich, ChatGPT Hype oder Revolution Sicht eines Informatikers. 2023.Publikation öffnen
- C. M. Friedrich, KI in der Bildung. 2023.Publikation öffnen
- C. Friedrich, KI-Anwendungen: Möglichkeiten und Grenzen. 2023.Publikation öffnen
Ausrichtung Ausstellung, Workshop, Kongress, Messe
- C. Friedrich, 7. DiffPro-ML Workshop „Maschinelles Lernen in der Praxis”. 2025.Publikation öffnen
- H. Damm et al., Organisation 9th ImageCLEFmedical - Caption task und Organisation des Tasks auf dem CLEF Labs Workshop. 2025.Publikation öffnen
- C. M. Friedrich, 6. DiffPro-ML Workshop „Maschinelles Lernen in der Praxis“. 2024.Publikation öffnen
- 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/captionPublikation öffnen
- C. M. Friedrich, 5. BMBF DiffPro-ML Workshop „Maschinelles Lernen in der Praxis“. 2023.Publikation öffnen
- 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/Publikation öffnen
Sonstiges
- C. M. Friedrich, Mitglied des Programmkomitees HEALTHINF 2023. 2023.Publikation öffnen
- C. M. Friedrich, Mitglied des Programmkomitees 10th IEEE Swiss Conference on Data Science (SDS 2023). 2023.Publikation öffnen
- C. M. Friedrich, Mitglied des Programmkomitees 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023). 2023.Publikation öffnen
- C. M. Friedrich, Mitglied des Programmkomitees 45th IEEE Conference on Engineering in Medicine and Biology (EMBC 2023). 2023.Publikation öffnen
- C. M. Friedrich, Journal Reviewer 2023, “Journal of Intelligent Systems”. 2023.Publikation öffnen
- C. M. Friedrich, Journal Reviewer 2023, “International Journal of Computer Vision”. 2023.Publikation öffnen