David Geldmacher

发表

Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology

Norbert Schuff, Michael W. Weiner, Andrew J. Saykin, 2020, Scientific Reports.

GenEpi: gene-based epistasis discovery using machine learning

Michael W. Weiner, Yen-Jen Oyang, Arthur W. Toga, 2018, BMC Bioinformatics.

A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer’s Disease Data

Norbert Schuff, Michael W. Weiner, Andrew J. Saykin, 2019, Scientific Reports.

Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features

Adrian Preda, Evan Fletcher, Charles DeCarli, 2017, Scientific Reports.

Early role of vascular dysregulation on late-onset Alzheimer's disease based on multifactorial data-driven analysis

Norbert Schuff, Michael W. Weiner, Robert C. Green, 2016, Nature Communications.

Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns

Norbert Schuff, Robert C. Green, Andrew J. Saykin, 2017 .

Author Correction: Multimodal hippocampal subfield grading for Alzheimer’s disease classification

Norbert Schuff, Michael W. Weiner, Robert C. Green, 2020, Scientific Reports.

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease

Michael W. Weiner, Robert C. Green, Shannon L. Risacher, 2017, Scientific Reports.

Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

Norbert Schuff, Michael W. Weiner, Robert C. Green, 2016, Scientific Reports.

Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics

Norbert Schuff, Michael W. Weiner, Robert C. Green, 2019, Scientific Reports.