Birkenbihl-lab

Publications

Below, you can find a collection of my first and last author publications.
For a complete list of my publications please look at my Google Scholar profileGoogle Scholar profile.

2023

Deep learning-based patient stratification for prognostic enrichment of clinical dementia trials

Data-Driven Thresholding Statistically Biases ATN Profiling across Cohort Datasets

Artificial intelligence-based clustering and characterization of Parkinson's disease trajectories

2022

Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations

ADataViewer: exploring semantically harmonized Alzheimer’s disease cohort datasets

Comparison and aggregation of event sequences across ten cohorts to describe the consensus biomarker evolution in Alzheimer’s disease

2021

Unraveling the heterogeneity in Alzheimer’s disease progression across multiple cohorts and the implications for data‐driven disease modeling

ANMerge: A Comprehensive and Accessible Alzheimer’s Disease Patient-Level Dataset

2020

Evaluating the Alzheimer's disease data landscape

Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practice