Follow
Colin Birkenbihl
Colin Birkenbihl
Biomedical AI at Harvard Medical School and Massachusetts General Hospital
Verified email at mgh.harvard.edu - Homepage
Title
Cited by
Cited by
Year
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
116*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
352020
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
342020
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
28*2022
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
252020
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
242023
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
242021
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
232022
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
222020
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
212022
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
152023
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
152022
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
112021
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
102022
Integration of structured biological data sources using biological expression language
CT Hoyt, D Domingo-Fernández, S Mubeen, JM Llaó, A Konotopez, ...
Biorxiv, 631812, 2019
92019
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
62022
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
52024
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
52022
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
Data-Driven Thresholding Statistically Biases ATN Profiling across Cohort Datasets
Y Salimi, D Domingo-Fernández, M Hofmann-Apitius, C Birkenbihl, ...
The Journal of Prevention of Alzheimer's Disease 11 (1), 185-195, 2024
22024
The system can't perform the operation now. Try again later.
Articles 1–20