Zur Person
Lebenslauf
Publikationen
Journalartikel
- Kuhlmann de Canaviri, Lara u. a. 2023. Static and Dynamic Accuracy and Occlusion Robustness of SteamVR Tracking 2.0 in Multi-Base Station Setups. Sensors 23, 2, .
- Brüngel, Raphael u. a. 2023. NanoDefiner Framework and e-Tool Revisited According to the European Commission’s Nanomaterial Definition 2022/C 229/01. Nanomaterials 13, 6, 990–990.
- Idrissi-Yaghir, Ahmad u. a. 2023. Domain Adaptation of Transformer-Based Models Using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback. SN Computer Science 4, .
- Borys, Katarzyna u. a. 2023. Explainable AI in medical imaging: an overview for clinical practitioners. European Journal of Radiology 162, .
- Yap, Moi Hoon u. a. 2021. Deep learning in diabetic foot ulcers detection: A comprehensive evaluation. Computers in Biology and Medicine 135, .
- Bloch, Louise & Friedrich, Christoph M 2021. Data analysis with Shapley values for automatic subject selection in Alzheimer’s disease data sets using interpretable machine learning. Alzheimer’s Research & Therapy 13, 1, .
- Pelka, Obioma u. a. 2020. Sociodemographic data and APOE-ɛ4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systems. PLOS ONE 2020, ohne Seitenangabe.
- Bakker, Mark K., van der Spek, Rick A. A. & Friedrich, Christoph M. 2020. Genome-wide association study of intracarnial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors. Nature genetics 2020, 12, 1303–1313.
- Mech, Agnieszka u. a. 2020. Nano or not nano? A structured approach for identifying nanomaterials according to the European Commission’s definition. Small : nano micro 16 (2020), 36, 1–16.
- Koitka, Sven u. a. 2020. 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 64 (2020), ohne Seitenangabe.
- Nashan, D. u. a. 2018. Primär kutane Lymphome - eine Fallserie von 163 Patienten. Der Hautarzt : Zeitschrift für Dermatologie, Venerologie und verwandte Gebiete 69 (2018), 12, 1014–1020.
- Pelka, Obioma, Nensa, Felix & Friedrich, Christoph M. 2018. Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks. PLOS ONE 2018, ohne Seitenangabe.
- Müthing, Jannis, Jäschke, Thomas & Friedrich, Christoph M. 2017. Client-focused security assessment of mHealth apps and recommended practices to prevent or mitigate transport security issues. JMIR mhealth and uhealth 5 (2017), 10, 1–12.
- Pelka, Obioma & Friedrich, Christoph M. 2016. 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 12 (2016), 2, ohne Seitenangabe.
- van’t Hof, Femke N. G., Ruigrok, Ynte M. & Friedrich, Christoph M. 2016. Shared genetic risk factors of intracranial, abdominal and thoracic aneurysms. Stroke : journal of the American Heart Association 5 (2016), 7, ohne Seitenangabe.
- Koitka, Sven & Friedrich, Christoph M. 2016. nmfgpu4R: GPU-accelerated computation of the Non-Negative Matrix Factorization (NMF) using CUDA capable hardware. The R journal 8 (2016), 2, 382–392.
- Bijlenga, Philippe, Ebeling, Christian & Friedrich, Christoph M. 2013. Risk of rupture of small anterior communicating artery aneurysms is similar to posterior circulation aneurysms. Stroke : a journal of cerebral circulation 44 (2013), 11, 3018–3026.
- Sahadevan, S., Hofmann-Apitius, M. & Friedrich, Christoph M. 2012. Text mining in livestock animal science. Journal of animal science 90 (2012), 10, 3666–3676.
- Younesi, E., Toldo, L. & Friedrich, Christoph M. 2012. Mining biomarker information in biomedical literature. BMC medical informatics and decision making ohne Seitenangabe.
- Hülsmann, Marco, Borscheid, Detlef & Friedrich, Christoph M. 2012. General sales forecast models for automobile markets and their analysis. Transactions on machine learning and data mining 5 (2012), 2, 65–86.
- Üstünkar, Gürkan, Özöğür-Akyüz, Süreyya & Friedrich, Christoph M. 2012. Selection of representative SNP sets for genome-wide association studies. Optimization letters 6 (2012), 6, 1207–1218.
- Thomas, Philippe E., Klinger, Roman & Friedrich, Christoph M. 2011. Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers. BMC bioinformatics 12 (2011), Supplement 4, ohne Seitenangabe.
- Benkner, Siegfried, Arbona, Antonia & Friedrich, Christoph M. 2010. neurIST. IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society 14 (2010), 6, 1365–1377.
Konferenzpaper
- Brüngel, Raphael, Koitka, Sven & Friedrich, Christoph M 2023. Unconditionally Generated and Pseudo-Labeled Synthetic Images for Diabetic Foot Ulcer Segmentation Dataset Extension. Diabetic Foot Ulcers Grand Challenge - Third Challenge, Held in Conjunction with MICCAI 2022, 65–79.
- Ionescu, Bogdan u. a. 2023. ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. Advances in Information Retrieval, 557–567.
- Bloch, Louise, Rückert, Johannes & Friedrich, Christoph M. 2023. PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints Using Literature Databases. Linking Theory and Practice of Digital Libraries, 47–61.
- Rückert, Johannes u. a. 2023. Overview of ImageCLEFmedical 2023 – Caption Prediction and Concept Detection. CLEF 2023 Working Notes, 1328–1346. https://ceur-ws.org/Vol-3497/paper-108.pdf.
- Ionescu, Bogdan u. a. 2023. Overview of the ImageCLEF 2023. Experimental IR Meets Multilinguality, Multimodality, and Interaction: 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18–21, 2023, Proceedings, 370 & ndash;396. https://link.springer.com/chapter/10.1007/978-3-031-42448-9_25.
- Eisenmann, M. u. a. 2023. Why is the Winner the Best? 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 19955–19966.
- Bracke, Benjamin u. a. 2023. Joint Feature Learning of Image Data with Embedded Metadata to Leverage Snake Species Classification. CLEF 2023 Working Notes, 2007–2034. https://ceur-ws.org/Vol-3497/paper-170.pdf.
- Brüngel, Raphael u. a. 2023. Teaching Machine Learning with Industrial Projects in a Joint Computer Science Master Course: Experiences, Challenges, Perspectives. 2023 IEEE 2nd German Education Conference (GECon), 1–6. https://ieeexplore.ieee.org/document/10295130.
- Bloch, Louise, Brüngel, Raphael & Friedrich, Christoph M. 2022. Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers. Diabetic Foot Ulcers Grand Challenge - Second Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, 30–49.
- Schäfer, Henning, Damm, Hendrik & Friedrich, Christoph M. 2022. Heart Rate Estimation Based on Optical Flow : Enabling Smooth Angle Changes in Ultrasound Simulation. 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 236–243.
- Dongmo Ngnintedem, Beauclair u. a. 2022. Classification and Direction Detection of Ambient Sounds on Microsoft HoloLens to Support Hearing-impaired People. 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 857–863.
- Brüngel, Raphael & Friedrich, Christoph M. 2021. DETR and YOLOv5: Exploring Performance and Self-Training for Diabetic Foot Ulcer Detention. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems, 148–153.
- Bloch, Louise & Friedrich, Christoph M. 2021. Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer’s Disease Detection with Machine Learning. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems, 113–118.
- Pelka, Obioma u. a. 2021. Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task. Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, 1101–1112.
- Bloch, Louise & Friedrich, Christoph M. 2021. EfficientNets and Vision Transformers for Snake Species Identification Using Image and Location Information. Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, 1477–1498.
Sammelbandbeitrag
- Seco de Herrera, Alba G. u. a. 2022. 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, 382–389.
- Bloch, Louise & Friedrich, Christoph M. 2021. 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, 87–99.
- Bloch, Louise & Friedrich, Christoph M. 2021. 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, 285–299.
- Bloch, Louise u. a. 2020. 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, ohne Seitenangabe.
- Pelka, Obioma, Nensa, Felix & Friedrich, Christoph M. 2019. 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, 699–704.
- Eckert, Martin, Blex, Matthias & Friedrich, Christoph M. 2018. 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, 555–561.
- Ehmke, Christopher, Wessling, Florian & Friedrich, Christoph M. 2018. 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, 48–51.
- Pelka, Obioma u. a. 2018. 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, 180–189.
- Pelka, Obioma, Nensa, Felix & Friedrich, Christoph M. 2018. 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, 179–187.
- Trotzek, Marcel, Koitka, Sven & Friedrich, Christoph M. 2018. 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, 191–202.
- Trotzek, Marcel, Koitka, Sven & Friedrich, Christoph M. 2018. 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, 1–15.
- Brüngel, Raphael u. a. 2017. The NanoDefiner e-tool. In Proceedings of the 2017 IEEE Nanotechnology Material and Devices Conference (NMDC) : October 2-4, 2017, Singapore. Piscataway, NJ: IEEE, 71–72.
- Fritzler, Andreas, Koitka, Sven & Friedrich, Christoph M. 2017. 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, ohne Seitenangabe. http://ceur-ws.org/Vol-1866/.
- Koitka, Sven & Friedrich, Christoph M. 2017. 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, 57–68.
- Ludwig, Andreas u. a. 2017. 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, ohne Seitenangabe.
- Pelka, Obioma & Friedrich, Christoph M. 2017. 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, ohne Seitenangabe.
- Trotzek, Marcel, Koitka, Sven & Friedrich, Christoph M. 2017. 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, ohne Seitenangabe.
- Müller, David, Plöger, Sabrina & Friedrich, Christoph M. 2016. Random-Forest-Implementierung auf SAP HANA. In Schriftenreihe des Fachbereichs Informatik der Fachhochschule Dortmund, Band 2. Münster: Verlagshaus Monsenstein und Vannerdat, ohne Seitenangabe.
- Koitka, Sven & Friedrich, Christoph M. 2016. 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, 304–317. http://ceur-ws.org/Vol-1609/.
- Chebouti, Issam & Friedrich, Christoph M. 2015. 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, ohne Seitenangabe.
- Pelka, Obioma & Friedrich, Christoph M. 2015. 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, ohne Seitenangabe.
- Hülsmann, Marco, Borscheid, Detlef & Friedrich, Christoph M. 2011. 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, 255–269.
- Gurulingappa, Harsha, Müller, Bernd & Friedrich, Christoph M. 2010. 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, 1–9. https://dblp.dagstuhl.de/db/conf/trec/trec2010.html.