A review on brain age prediction models
LKS Kumari, R Sundarrajan - Brain Research, 2023 - Elsevier
Brain age in neuroimaging has emerged over the last decade and reflects the estimated age
based on the brain MRI scan from a person. As a person ages, their brain structure will …
based on the brain MRI scan from a person. As a person ages, their brain structure will …
An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction
Objective Distributed learning avoids problems associated with central data collection by
training models locally at each site. This can be achieved by federated learning (FL) …
training models locally at each site. This can be achieved by federated learning (FL) …
[HTML][HTML] Replication and Refinement of Brain Age Model for adolescent development
The discrepancy between chronological age and estimated brain age, known as the brain
age gap, may serve as a biomarker to reveal brain development and neuropsychiatric …
age gap, may serve as a biomarker to reveal brain development and neuropsychiatric …
Early detection of Alzheimer's disease based on inceptionV3 and machine learning classifier using neuroimaging
Neuroimaging is a term referring to the techniques that efficiently expose facts well about
cellular structure of the human brain. These techniques have been used in clinical condition …
cellular structure of the human brain. These techniques have been used in clinical condition …