| Caution,“normal” BMI: health risks associated with potentially masked individual underweight—EPMA Position Paper 2021 O Golubnitschaja, A Liskova, L Koklesova, M Samec, K Biringer, ... EPMA Journal 12 (3), 243-264, 2021 | 110* | 2021 |
| Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia-lessons for translation into clinical practice C Birkenbihl, MA Emon, H Vrooman, S Westwood, S Lovestone, ... EPMA Journal 11, 367-376, 2020 | 35 | 2020 |
| Evaluating the Alzheimer's disease data landscape C Birkenbihl, Y Salimi, D Domingo‐Fernándéz, S Lovestone, ... Alzheimer's & Dementia: Translational Research & Clinical Interventions 6 (1 …, 2020 | 32 | 2020 |
| Voice perturbations under the stress overload in young individuals: phenotyping and suboptimal health as predictors for cascading pathologies A Kunin, N Sargheini, C Birkenbihl, N Moiseeva, H Fröhlich, ... EPMA Journal 11, 517-527, 2020 | 25 | 2020 |
| Unraveling the heterogeneity in Alzheimer's disease progression across multiple cohorts and the implications for data‐driven disease modeling C Birkenbihl, Y Salimi, H Fröhlich, ... Alzheimer's & Dementia 18 (2), 251-261, 2022 | 23* | 2022 |
| STonKGs: a sophisticated transformer trained on biomedical text and knowledge graphs H Balabin, CT Hoyt, C Birkenbihl, BM Gyori, J Bachman, AT Kodamullil, ... Bioinformatics 38 (6), 1648-1656, 2022 | 22 | 2022 |
| ANMerge: a comprehensive and accessible Alzheimer’s disease patient-level dataset C Birkenbihl, S Westwood, L Shi, A Nevado-Holgado, E Westman, ... Journal of Alzheimer’s Disease 79 (1), 423-431, 2021 | 22 | 2021 |
| Challenges of integrative disease modeling in Alzheimer's disease S Golriz Khatami, C Robinson, C Birkenbihl, D Domingo-Fernández, ... Frontiers in molecular biosciences 6, 158, 2020 | 21 | 2020 |
| Pre-pregnancy check-up of maternal vascular status and associated phenotype is crucial for the health of mother and offspring M Evsevieva, O Sergeeva, A Mazurakova, L Koklesova, ... EPMA Journal 13 (3), 351-366, 2022 | 19 | 2022 |
| Forecasting individual progression trajectories in Alzheimer’s disease E Maheux, I Koval, J Ortholand, C Birkenbihl, D Archetti, V Bouteloup, ... Nature Communications 14 (1), 761, 2023 | 16 | 2023 |
| ADataViewer: exploring semantically harmonized Alzheimer’s disease cohort datasets Y Salimi, D Domingo-Fernández, C Bobis-Álvarez, M Hofmann-Apitius, ... Alzheimer's Research & Therapy 14 (1), 69, 2022 | 15 | 2022 |
| Artificial intelligence-based clustering and characterization of Parkinson's disease trajectories C Birkenbihl, A Ahmad, NJ Massat, T Raschka, A Avbersek, P Downey, ... Scientific Reports 13 (1), 2897, 2023 | 12 | 2023 |
| CLEP: A Hybrid Data-and Knowledge-Driven Framework for Generating Patient Representations V Srinivas Bharadhwaj, M Ali, C Birkenbihl, S Mubeen, J Lehmann, ... Bioinformatics, 2021 | 11 | 2021 |
| Generation of realistic synthetic data using multimodal neural ordinary differential equations P Wendland, C Birkenbihl, M Gomez-Freixa, M Sood, M Kschischo, ... NPJ Digital Medicine 5 (1), 122, 2022 | 10 | 2022 |
| Integration of structured biological data sources using biological expression language CT Hoyt, D Domingo-Fernández, S Mubeen, JM Llaó, A Konotopez, ... Biorxiv, 631812, 2019 | 9 | 2019 |
| Integrative data semantics through a model-enabled data stewardship P Wegner, S Schaaf, M Uebachs, D Domingo-Fernández, Y Salimi, ... Bioinformatics 38 (15), 3850-3852, 2022 | 6 | 2022 |
| Pre-pregnancy check-up of maternal vascular status and associated phenotype is crucial for the health of mother and offspring. EPMA J. 2022; 13 (3): 351–66 M Evsevieva, O Sergeeva, A Mazurakova, L Koklesova, ... | 5 | |
| Comparison and aggregation of event sequences across ten cohorts to describe the consensus biomarker evolution in Alzheimer’s disease S Golriz Khatami, Y Salimi, M Hofmann-Apitius, NP Oxtoby, C Birkenbihl, ... Alzheimer's Research & Therapy 14 (1), 55, 2022 | 4 | 2022 |
| Evaluating digital device technology in Alzheimer’s disease via artificial intelligence M Sood, R Harms, M Bügler, I Tarnanas, N Coello, H Fröhlich Alzheimer's & Dementia 17, e053574, 2021 | 2 | 2021 |
| Digital biomarkers: 3PM approach revolutionizing chronic disease management—EPMA 2024 position I Smokovski, N Steinle, A Behnke, SMM Bhaskar, G Grech, K Richter, ... EPMA Journal, 1-14, 2024 | 1 | 2024 |
Martin Hofmann-ApitiusProfessor für Angewandte Life Science Informatik, Universität BonnVerified email at scai.fraunhofer.de
