Prof. Dr.-Ing. Christoph M. Friedrich

A. G. Seco de Herrera, B. Ionescu, H. Müller, R. Péteri, A. Ben Abacha, C. M. Friedrich, J. Rückert, L. Bloch, R. Brüngel, A. Idrissi-Yaghir, H. Schäfer, S. Kozlovski, Y. Dicente Cid, V. Kovalev, J. Chamberlain, A. Clark, A. Campello, H. Schindler, J. Deshayes, A. Popescu, L.-D. Ştefan, M. G. Constantin, and M. Dogariu, “ImageCLEF 2022: multimedia retrieval in medical, nature, fusion and internet applications,” in Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II, Cham: Springer International Publishing, 2022, pp. 382–389.

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.

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.

L. Bloch, A. Boketta, C. Keibel, E. Mense, A. Michailutschenko, O. Pelka, J. Rückert, L. Willemeit, and C. M. Friedrich, “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.

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.

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.

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.

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.

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.

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.

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.

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 [Online]. Available: http://ceur-ws.org/Vol-1866/

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.

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.

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.

R. Brüngel, J. Rückert, W. Wohlleben, F. Babick, A. Ghanem, C. Gaillard, A. Mech, H. Rauscher, S. Weigel, and C. M. Friedrich, “The NanoDefiner e-tool,” in Proceedings of the 2017 IEEE Nanotechnology Material and Devices Conference (NMDC) : October 2-4, 2017, Singapore, Piscataway, NJ: IEEE, 2017, pp. 71–72.

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.

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.

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 [Online]. Available: http://ceur-ws.org/Vol-1609/

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.

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.

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.

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 [Online]. Available: https://dblp.dagstuhl.de/db/conf/trec/trec2010.html

B. Ionescu, H. Müller, A. M. Dragulinescu, A. Idrissi-Yaghir, A. Radzhabov, A. G. S. de Herrera, A. Andrei, A. Stan, A. M. Storås, A. B. Abacha, B. Lecouteux, B. Stein, C. Macaire, C. M. Friedrich, C. S. Schmidt, D. Schwab, E. Esperanca-Rodier, G. Ioannidis, G. Adams, H. Schäfer, H. Manguinhas, I. Coman, J. Schöler, J. Kiesel, J. Rückert, L. Bloch, M. Potthast, M. Heinrich, M. Yetisgen, M. A. Riegler, N. Snider, P. Halvorsen, R. Brüngel, S. A. Hicks, V. Thambawita, V. Kovalev, Y. Prokopchuk, and W.-W. Yim, “Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024,” in Advances in Information Retrieval, 2024, pp. 44–52.

H. Damm, T. M. G. Pakull, B. Eryılmaz, H. Becker, A. Idrissi-Yaghir, H. Schäfer, S. Schultenkämper, and C. M. Friedrich, “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, 2024, pp. 105–121 [Online]. Available: https://aclanthology.org/2024.bionlp-1.9.pdf

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, 2024, pp. 769–779 [Online]. Available: https://aclanthology.org/2024.bionlp-1.70/

S. Püttmann, L. B. Ferris, N. Marini, W. Aswolinsky, S. Vatrano, F. Fragetta, I. Nagtegaal, C. van der Post, F. Ciompi, M. Atzori, C. Friedrich, and H. Müller, “Automated classification of celiac disease in histopathological images: a multi-scale approach,” in Medical Imaging 2024: Computer-Aided Diagnosis, 2024.

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, 2023, pp. 65–79.

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, 2023, 1st ed., pp. 47–61.

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, 2023, pp. 2007–2034 [Online]. Available: https://ceur-ws.org/Vol-3497/paper-170.pdf

A. Dada, A. Chen, C. Peng, K. E. Smith, A. Idrissi Yaghir, C. M. Seibold, J. Li, C. M. Friedrich, D. Truhn, J. Egger, J. Bian, J. Kleesiek, and Y. Wu, “On the Impact of Cross-Domain Data on German Language Models,” in Findings of the Association for Computational Linguistics: EMNLP 2023, 2023, pp. 13801–13813 [Online]. Available: https://aclanthology.org/2023.findings-emnlp.922/

B. Ionescu, H. Müller, A. M. Dragulinescu, A. Popescu, A. Idrissi-Yaghir, A. García Seco de Herrera, A. Andrei, A. Stan, A. M. Storås, A. Ben Abacha, C. M. Friedrich, G. Ioannidis, G. Adams, H. Schäfer, H. Manguinhas, I. Filipovich, I. Coman, J. Deshayes, J. Schöler, J. Rückert, L.-D. Stefan, L. Bloch, M. Yetisgen, M. A. Riegler, M. Dogariu, M. G. Constantin, N. Snider, N. Papachrysos, P. Halvorsen, R. Brüngel, S. Kozlovski, S. Hicks, T. de Lange, V. Thambawita, V. Kovalev, and W.-W. Yim, “ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications,” in Advances in Information Retrieval, 2023, pp. 557–567.

J. Rückert, A. Ben Abacha, A. G. Seco de Herrera, L. Bloch, R. Brüngel, A. Idrissi-Yaghir, H. Schäfer, H. Müller, and C. M. Friedrich, “Overview of ImageCLEFmedical 2023 – Caption Prediction and Concept Detection,” in CLEF 2023 Working Notes, 2023, pp. 1328–1346 [Online]. Available: https://ceur-ws.org/Vol-3497/paper-108.pdf

B. Ionescu, H. Müller, A.-M. Dragulinescu, W.-W. Yim, A. Ben Abacha, N. Snider, G. Adams, M. Yetisgen, J. Rückert, A. García Seco de Herrera, C. M. Friedrich, L. Bloch, R. Brüngel, A. Idrissi-Yaghir, H. Schäfer, S. A. Hicks, M. A. Riegler, V. Thambawita, A. M. Storås, P. Halvorsen, N. Papachrysos, J. Schöler, D. Jha, A.-G. Andrei, I. Coman, V. Kovalev, A. Radzhabov, Y. Prokopchuk, L.-D. Stefan, M.-G. Constantin, M. Dogariu, J. Deshayes, and A. Popescu, “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, 2023, pp. 370–396 [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-031-42448-9_25

M. Eisenmann, A. Reinke, V. Weru, M. D. Tizabi, F. Isensee, T. J. Adler, S. Ali, V. Andrearczyk, M. Aubreville, U. Baid, S. Bakas, N. Balu, S. Bano, J. Bernal, S. Bodenstedt, A. Casella, V. Cheplygina, M. Daum, M. De Bruijne, A. Depeursinge, R. Dorent, J. Egger, D. G. Ellis, S. Engelhardt, M. Ganz, N. Ghatwary, G. Girard, P. Godau, A. Gupta, L. Hansen, K. Harada, M. Heinrich, N. Heller, A. Hering, A. Huaulmé, P. Jannin, A. E. Kavur, O. Kodym, M. Kozubek, J. Li, H. Li, J. Ma, C. Martín-Isla, B. Menze, A. Noble, V. Oreiller, N. Padoy, S. Pati, K. Payette, T. Rädsch, J. Rafael-Patiño, V. S. Bawa, S. Speidel, C. H. Sudre, K. Van Wijnen, M. Wagner, D. Wei, A. Yamlahi, M. H. Yap, C. Yuan, M. Zenk, A. Zia, D. Zimmerer, D. Aydogan, B. Bhattarai, L. Bloch, R. Brüngel, J. Cho, C. Choi, Q. Dou, I. Ezhov, C. M. Friedrich, C. Fuller, R. R. Gaire, A. Galdran, Á. G. Faura, M. Grammatikopoulou, S. Hong, M. Jahanifar, I. Jang, A. Kadkhodamohammadi, I. Kang, F. Kofler, S. Kondo, H. Kuijf, M. Li, M. Luu, T. Martinčič, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Płotka, E. Puybareau, N. Rajpoot, K. Ryu, N. Saeed, A. Shephard, P. Shi, D. Štepec, R. Subedi, G. Tochon, H. R. Torres, H. Urien, J. L. Vilaça, K. A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, B. Wiestler, M. Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, K. Maier-Hein, P. F. Jäger, A. Kopp-Schneider, and L. Maier-Hein, “Why is the Winner the Best?,” in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 19955–19966.

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), 2023, pp. 1–6 [Online]. Available: https://ieeexplore.ieee.org/document/10295130

K. Meiszl, T. Potthast, T. Schulten, M. Silberbach, D. Wiswede, P. Abbassi, L. Hake, V. Hussein, L. K. de Canaviri, S. D. Mirraziroudsari, F. Ratert, Y. Warnecke, W. Schiprowski, D. Heß, R. Brüngel, and C. M. Friedrich, “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), 2023, pp. 430–435 [Online]. Available: http://dx.doi.org/10.1109/idaacs58523.2023.10348820

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, 2022, pp. 236–243.

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, 2022, pp. 857–863.

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, 2022, pp. 30–49.

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, 2021, pp. 1101–1112.

R. Brüngel and C. M. Friedrich, “DETR and YOLOv5: Exploring Performance and Self-Training for Diabetic Foot Ulcer Detention,” in 2021 IEEE 34th International Symposium on Computer-Based Medical Systems, 2021, pp. 148–153.

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, 2021, pp. 113–118.

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, 2021, pp. 1477–1498.

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.

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.

M. H. Yap, B. Cassidy, M. Byra, T. Liao, H. Yi, A. Galdran, Y.-H. Chen, R. Brüngel, S. Koitka, C. M. Friedrich, Y. Lo, C. Yang, K. Li, Q. Lao, M. A. G. Ballester, G. Carneiro, Y.-J. Ju, J.-D. Huang, J. M. Pappachan, N. D. Reeves, V. Chandrabalan, D. Dancey, and C. Kendrick, “Diabetic foot ulcers segmentation challenge report: Benchmark and analysis,” Medical Image Analysis, pp. 103153–103153, 2024 [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1361841524000781

J. Rückert, L. Bloch, R. Brüngel, A. Idrissi-Yaghir, H. Schäfer, C. S. Schmidt, S. Koitka, O. Pelka, A. B. Abacha, A. G. Seco de Herrera, H. Müller, P. A. Horn, F. Nensa, and C. M. Friedrich, “ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset,” Scientific Data, vol. 11, no. 1, pp. 688–688, 2024 [Online]. Available: https://www.nature.com/articles/s41597-024-03496-6

K. Borys, Y. A. Schmitt, M. Nauta, C. Seifert, N. Krämer, C. M. Friedrich, and F. Nensa, “Explainable AI in medical imaging: an overview for clinical practitioners,” European Journal of Radiology, vol. 162, 2023.

R. Brüngel, J. Rückert, P. Müller, F. Babick, C. M. Friedrich, A. Ghanem, V.-D. Hodoroaba, A. Mech, S. Weigel, W. Wohlleben, and H. Rauscher, “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.

L. Kuhlmann de Canaviri, K. Meiszl, V. Hussein, P. Abbassi, S. D. Mirraziroudsari, L. Hake, T. Potthast, F. Ratert, T. Schulten, M. Silberbach, Y. Warnecke, D. Wiswede, W. Schiprowski, D. Heß, R. Brüngel, and C. M. Friedrich, “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.

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.

M. H. Yap, R. Hachiuma, A. Alavi, R. Brüngel, B. Cassidy, M. Goyal, H. Zhu, J. Rückert, M. Olshansky, X. Huang, H. Saito, S. Hassanpour, C. M. Friedrich, D. B. Ascher, A. Song, H. Kajita, D. Gillespie, N. D. Reeves, J. M. Pappachan, C. O’Shea, and E. Frank, “Deep learning in diabetic foot ulcers detection: A comprehensive evaluation,” Computers in Biology and Medicine, no. 135, 2021.

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.

O. Pelka, C. M. Friedrich, F. Nensa, C. Mönninghoff, L. Bloch, K.-H. Jöckel, S. Schramm, S. Sanchez Hoffmann, A. Winkler, C. Weimar, and M. Jokisch, “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.

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.

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.

A. Mech, W. Wohlleben, A. Ghanem, V.-D. Hodoroaba, S. Weigel, F. Babick, R. Brüngel, C. M. Friedrich, K. Rasmussen, and H. Rauscher, “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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

C. M. Friedrich, ChatGPT Hype oder Revolution Sicht eines Informatikers. 2023.

C. M. Friedrich, KI in der Bildung. 2023.

C. Friedrich, KI-Anwendungen: Möglichkeiten und Grenzen. 2023.

C. M. Friedrich, 5. BMBF DiffPro-ML Workshop „Maschinelles Lernen in der Praxis“ 2023.

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 [Online]. Available: https://www.imageclef.org/2023/medical/caption/

C. M. Friedrich, Mitglied des Programmkomitees HEALTHINF 2023. 2023.

C. M. Friedrich, Mitglied des Programmkomitees 10th IEEE Swiss Conference on Data Science (SDS 2023). 2023.

C. M. Friedrich, Mitglied des Programmkomitees 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023). 2023.

C. M. Friedrich, Mitglied des Programmkomitees 45th IEEE Conference on Engineering in Medicine and Biology (EMBC 2023). 2023.

C. M. Friedrich, Journal Reviewer 2023, "Journal of Intelligent Systems" 2023.

C. M. Friedrich, Journal Reviewer 2023, "International Journal of Computer Vision" 2023.