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Prof. Dr.-Ing. Christoph M. Friedrich

Professorship for Computer Science, Biomedical Informatics

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About the person

Research

GRK WisPerMed*

Publications

Monograph

  • 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
    Open publication

Anthology contribution

  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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/
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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/
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.html
    Open publication

Conference paper

  • 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_1
    Open publication
  • 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
    Open publication
  • 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
    Open publication
  • 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-1.26
    Open publication
  • 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-1.32
    Open publication
  • 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-1.15
    Open publication
  • 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/embc58623.2025.11251770
    Open publication
  • 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/embc58623.2025.11254237
    Open publication
  • 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
    Open publication
  • 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
    Open publication
  • 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.pdf
    Open publication
  • 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: 10.1117/12.3006669
    Open publication
  • 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
    Open publication
  • 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/
    Open publication
  • 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
    Open publication
  • 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/
    Open publication
  • 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.
    Open publication
  • 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
    Open publication
  • 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_5
    Open publication
  • 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
    Open publication
  • 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
    Open publication
  • 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.pdf
    Open publication
  • 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
    Open publication
  • 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
    Open publication
  • 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
    Open publication
  • 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/
    Open publication
  • 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
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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/cbms52027.2021.00096
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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
    Open publication
  • 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
    Open publication
  • 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
    Open publication

Conference poster

  • 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: 10.3205/25gmds031
    Open publication

Journal article

  • 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.2026.121813
    Open publication
  • 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-2424-1989
    Open publication
  • J. Haubold et al., “Moving Beyond CT Body Composition Analysis,” Investigative Radiology, 2025, doi: 10.1097/rli.0000000000001162
    Open publication
  • 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
    Open publication
  • 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
    Open publication
  • 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/s25082591
    Open publication
  • 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.2025.100732
    Open publication
  • 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.2025.104301
    Open publication
  • 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.2025.100213
    Open publication
  • 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/s41598-025-31639-1
    Open publication
  • 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.2025.100752
    Open publication
  • 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-z
    Open publication
  • 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/s12967-025-06507-1
    Open publication
  • 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.2025.110665
    Open publication
  • K. Borys et al., “DermaDashboard: Bridging the Gap Between FHIR Standards and Clinical Usability,” JMIR Cancer, vol. 11, p. e73691, 2025, doi: 10.2196/73691
    Open publication
  • 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: 10.2196/73540
    Open publication
  • 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.2024.108029
    Open publication
  • 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/s24051527
    Open publication
  • 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
    Open publication
  • 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
    Open publication
  • 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.2024.10.017
    Open publication
  • 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
    Open publication
  • 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
    Open publication
  • 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/s42979-022-01563-6
    Open publication
  • 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.2023.110787
    Open publication
  • 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.2023.104400
    Open publication
  • 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
    Open publication
  • 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
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication
  • 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.
    Open publication

Issue/special issue of a magazine

  • 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/Q5HM26CY1C
    Open publication

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.shtml
    Open publication

Scientific lecture

  • C. M. Friedrich, Information Extraction and Explainable Machine Learning at the Point-of-Care. 2024.
    Open publication
  • J. Rückert, L. Bloch, and C. Friedrich, IPPOLIS Write: Automatisiertes Feedback zur Unterstützung des wissenschaftlichen Schreibens. 2024.
    Open publication
  • C. M. Friedrich, ChatGPT Hype oder Revolution Sicht eines Informatikers. 2023.
    Open publication
  • C. M. Friedrich, KI in der Bildung. 2023.
    Open publication
  • C. Friedrich, KI-Anwendungen: Möglichkeiten und Grenzen. 2023.
    Open publication

Organization of exhibition, workshop, congress, trade fair

  • C. Friedrich, 7. DiffPro-ML Workshop „Maschinelles Lernen in der Praxis”. 2025.
    Open publication
  • H. Damm et al., Organisation 9th ImageCLEFmedical - Caption task und Organisation des Tasks auf dem CLEF Labs Workshop. 2025.
    Open publication
  • C. M. Friedrich, 6. DiffPro-ML Workshop „Maschinelles Lernen in der Praxis“. 2024.
    Open publication
  • 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
    Open publication
  • C. M. Friedrich, 5. BMBF DiffPro-ML Workshop „Maschinelles Lernen in der Praxis“. 2023.
    Open publication
  • 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/
    Open publication

Miscellaneous

  • C. M. Friedrich, Mitglied des Programmkomitees HEALTHINF 2023. 2023.
    Open publication
  • C. M. Friedrich, Mitglied des Programmkomitees 10th IEEE Swiss Conference on Data Science (SDS 2023). 2023.
    Open publication
  • C. M. Friedrich, Mitglied des Programmkomitees 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023). 2023.
    Open publication
  • C. M. Friedrich, Mitglied des Programmkomitees 45th IEEE Conference on Engineering in Medicine and Biology (EMBC 2023). 2023.
    Open publication
  • C. M. Friedrich, Journal Reviewer 2023, “Journal of Intelligent Systems”. 2023.
    Open publication
  • C. M. Friedrich, Journal Reviewer 2023, “International Journal of Computer Vision”. 2023.
    Open publication

Teaching

IPPOLIS

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