100 citations · 226 across the 21 of their papers we have counts for
5 papers · 1 filter
Computer-aided diagnosis and prediction in brain disorders
Vikram Venkatraghavan, Sebastian R. van der Voort, Daniel Bos +5
Computer-aided methods have shown added value for diagnosing and predicting brain disorders and can thus support decision making in clinical care and treatment planning. This chapt…
Ten years of image analysis and machine learning competitions in dementia
Esther E. Bron, Stefan Klein, Annika Reinke +4
Machine learning methods exploiting multi-parametric biomarkers, especially based on neuroimaging, have huge potential to improve early diagnosis of dementia and to predict which i…
Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations
Vikram Venkatraghavan, Stefan Klein, Lana Fani +5
Alzheimer's disease (AD) is the most common form of dementia and is phenotypically heterogeneous. APOE is a triallelic gene which correlates with phenotypic heterogeneity in AD. In…
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia
Vikram Venkatraghavan, Florian Dubost, Esther E. Bron +3
Event-based models (EBM) are a class of disease progression models that can be used to estimate temporal ordering of neuropathological changes from cross-sectional data. Current EB…
Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling
Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen +1
Alzheimer's Disease (AD) is characterized by a cascade of biomarkers becoming abnormal, the pathophysiology of which is very complex and largely unknown. Event-based modeling (EBM)…