5 citations · 9 across the 7 of their papers we have counts for
7 papers
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…
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease
Esther E. Bron, Stefan Klein, Janne M. Papma +14
This work validates the generalizability of MRI-based classification of Alzheimer's disease (AD) patients and controls (CN) to an external data set and to the task of prediction of…
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…
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +93
We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international…
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)…