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Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|
June 10, 2021
Unraveling the heterogeneity in Alzheimer's disease progression across multiple cohorts and the implications for data-driven disease modeling
Colin Birkenbihl, Yasamin Salimi, Holger Fröhlich, et al.
Brain Communications
|
December 23, 2024
Deep learning-based patient stratification for prognostic enrichment of clinical dementia trials
Colin Birkenbihl, Johann de Jong, Ilya Yalchyk, et al.
NPJ Digital Medicine
|
August 19, 2022
Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations
Philipp Wendland, Colin Birkenbihl, Marc Gomez-Freixa, et al.
Alzheimer'S Research & Therapy
|
May 21, 2022
ADataViewer: exploring semantically harmonized Alzheimer's disease cohort datasets
Yasamin Salimi, Daniel Domingo-Fernández, Carlos Bobis-Álvarez, et al.
Alzheimer'S Research & Therapy
|
April 21, 2022
Comparison and aggregation of event sequences across ten cohorts to describe the consensus biomarker evolution in Alzheimer's disease
Sepehr Golriz Khatami, Yasamin Salimi, Martin Hofmann-Apitius, et al.
Alzheimer'S & Dementia (New York, N. Y.)
|
December 21, 2020
Evaluating the Alzheimer's disease data landscape
Colin Birkenbihl, Yasamin Salimi, Daniel Domingo-Fernándéz, et al.
Frontiers in Molecular Biosciences
|
January 30, 2020
Challenges of Integrative Disease Modeling in Alzheimer's Disease
Sepehr Golriz Khatami, Christine Robinson, Colin Birkenbihl, et al.
Journal of Alzheimer'S Disease : JAD
|
December 8, 2020
ANMerge: A Comprehensive and Accessible Alzheimer's Disease Patient-Level Dataset
Colin Birkenbihl, Sarah Westwood, Liu Shi, et al.
The EPMA Journal
|
August 27, 2020
Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practice
Colin Birkenbihl, Mohammad Asif Emon, Henri Vrooman, et al.
Scientific Reports
|
February 21, 2023
Artificial intelligence-based clustering and characterization of Parkinson's disease trajectories
Colin Birkenbihl, Ashar Ahmad, Nathalie J Massat, et al.
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of 4
Search research articles
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Showing results (1-10 of 38) with videos related to
Sort By:
Page
of 4
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|
June 10, 2021
Unraveling the heterogeneity in Alzheimer's disease progression across multiple cohorts and the implications for data-driven disease modeling
Colin Birkenbihl, Yasamin Salimi, Holger Fröhlich, et al.
Brain Communications
|
December 23, 2024
Deep learning-based patient stratification for prognostic enrichment of clinical dementia trials
Colin Birkenbihl, Johann de Jong, Ilya Yalchyk, et al.
NPJ Digital Medicine
|
August 19, 2022
Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations
Philipp Wendland, Colin Birkenbihl, Marc Gomez-Freixa, et al.
Alzheimer'S Research & Therapy
|
May 21, 2022
ADataViewer: exploring semantically harmonized Alzheimer's disease cohort datasets
Yasamin Salimi, Daniel Domingo-Fernández, Carlos Bobis-Álvarez, et al.
Alzheimer'S Research & Therapy
|
April 21, 2022
Comparison and aggregation of event sequences across ten cohorts to describe the consensus biomarker evolution in Alzheimer's disease
Sepehr Golriz Khatami, Yasamin Salimi, Martin Hofmann-Apitius, et al.
Alzheimer'S & Dementia (New York, N. Y.)
|
December 21, 2020
Evaluating the Alzheimer's disease data landscape
Colin Birkenbihl, Yasamin Salimi, Daniel Domingo-Fernándéz, et al.
Frontiers in Molecular Biosciences
|
January 30, 2020
Challenges of Integrative Disease Modeling in Alzheimer's Disease
Sepehr Golriz Khatami, Christine Robinson, Colin Birkenbihl, et al.
Journal of Alzheimer'S Disease : JAD
|
December 8, 2020
ANMerge: A Comprehensive and Accessible Alzheimer's Disease Patient-Level Dataset
Colin Birkenbihl, Sarah Westwood, Liu Shi, et al.
The EPMA Journal
|
August 27, 2020
Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practice
Colin Birkenbihl, Mohammad Asif Emon, Henri Vrooman, et al.
Scientific Reports
|
February 21, 2023
Artificial intelligence-based clustering and characterization of Parkinson's disease trajectories
Colin Birkenbihl, Ashar Ahmad, Nathalie J Massat, et al.
Page
of 4