Publikationen
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.
Konferenzpaper
- 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.
- 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.
- 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.
- 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.
Journalartikel
- Bloch, Louise & Friedrich, Christoph 2024. Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer’s Disease detection. Computers in Biology and Medicine 170, 108029.
- 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.