| Data analysis with Shapley values for automatic subject selection in Alzheimer’s disease data sets using interpretable machine learning L Bloch, CM Friedrich Alzheimer's Research & Therapy 13 (1), 1-30, 2021 | 51 | 2021 |
| Overview of the ImageCLEF 2022: Multimedia retrieval in medical, social media and nature applications B Ionescu, H Müller, R Péteri, J Rückert, AB Abacha, AGS de Herrera, ... International Conference of the Cross-Language Evaluation Forum for European …, 2022 | 44 | 2022 |
| Overview of ImageCLEF 2023: Multimedia retrieval in medical, socialmedia and recommender systems applications B Ionescu, H Müller, A Drăgulinescu, W Yim, AB Abacha, N Snider, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction …, 2023 | 41 | 2023 |
| Overview of ImageCLEFmedical 2022–caption prediction and concept detection J Rückert, A Ben Abacha, A Garcia Seco De Herrera, L Bloch, R Brüngel, ... CEUR Workshop Proceedings 3180, 1294-1307, 2022 | 41 | 2022 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 29 | 2022 |
| Combination of image and location information for snake species identification using object detection and efficientnets L Bloch, A Boketta, C Keibel, E Mense, A Michailutschenko, O Pelka, ... CLEF working notes, 2020 | 27 | 2020 |
| Overview of the ImageCLEF 2024: multimedia retrieval in medical applications B Ionescu, H Müller, AM Drăgulinescu, J Rückert, A Ben Abacha, ... International Conference of the Cross-Language Evaluation Forum for European …, 2024 | 25 | 2024 |
| Overview of ImageCLEFmedical 2023–caption prediction and concept detection J Rückert, A Ben Abacha, AG Seco de Herrera, L Bloch, R Brüngel, ... Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023 …, 2023 | 24 | 2023 |
| Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Sociodemographic data and APOE-ε4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systems O Pelka, CM Friedrich, F Nensa, C Mönninghoff, L Bloch, KH Jöckel, ... PloS one 15 (9), e0236868, 2020 | 20 | 2020 |
| Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers L Bloch, R Brüngel, CM Friedrich Diabetic Foot Ulcers Grand Challenge, 30-49, 2021 | 15 | 2021 |
| Classification of Alzheimer’s Disease using volumetric features of multiple MRI scans L Bloch, CM Friedrich 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 15 | 2019 |
| Developing a Machine Learning Workflow to Explain Black-box Models for Alzheimer’s Disease Classification L Bloch, CM Friedrich Proceedings of the 14th International Joint Conference on Biomedical …, 2021 | 14 | 2021 |
| Machine learning workflow to explain black-box models for early Alzheimer’s disease classification evaluated for multiple datasets L Bloch, CM Friedrich, Alzheimer’s Disease Neuroimaging Initiative SN Computer Science 3 (6), 509, 2022 | 13 | 2022 |
| EfficientNets and Vision Transformers for Snake Species Identification Using Image and Location Information. L Bloch, CM Friedrich CLEF (Working Notes), 1477-1498, 2021 | 12 | 2021 |
| ROCOv2: Radiology Objects in COntext version 2, an updated multimodal image dataset, Scientific Data (2024) J Rückert, L Bloch, R Brüngel, A Idrissi-Yaghir, H Schäfer, CS Schmidt, ... URL: https://arxiv. org/abs/2405.10004 v1. doi 10, 0 | 9 | |
| Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications B Ionescu, H Müller, AM Drăgulinescu, WW Yim, A Ben Abacha, N Snider, ... International Conference of the Cross-Language Evaluation Forum for European …, 2023 | 6 | 2023 |
| Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer's Disease Detection with Machine Learning L Bloch, CM Friedrich 2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021 | 6 | 2021 |
| Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer’s Disease Diagnosis L Bloch, CM Friedrich International Conference on Wireless Mobile Communication and Healthcare …, 2020 | 6 | 2020 |
| ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset J Rückert, L Bloch, R Brüngel, A Idrissi-Yaghir, H Schäfer, CS Schmidt, ... Scientific Data 11 (1), 688, 2024 | 5 | 2024 |
Christoph M. FriedrichProfessor of Biomedical Computer Science, University of Applied Sciences and Arts, DortmundVerified email at fh-dortmund.de
