A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages
Neuroimaging has made it possible to measure pathological brain changes associated with
Alzheimer's disease (AD) in vivo. Over the past decade, these measures have been …
Alzheimer's disease (AD) in vivo. Over the past decade, these measures have been …
The heterogeneity problem: approaches to identify psychiatric subtypes
The imprecise nature of psychiatric nosology restricts progress towards characterizing and
treating mental health disorders. One issue is the 'heterogeneity problem': different causal …
treating mental health disorders. One issue is the 'heterogeneity problem': different causal …
Joint classification and regression via deep multi-task multi-channel learning for Alzheimer's disease diagnosis
In the field of computer-aided Alzheimer's disease (AD) diagnosis, jointly identifying brain
diseases and predicting clinical scores using magnetic resonance imaging (MRI) have …
diseases and predicting clinical scores using magnetic resonance imaging (MRI) have …
Alzheimer's disease diagnostics by a deeply supervised adaptable 3D convolutional network
Early diagnosis, playing an important role in preventing progress and treating the
Alzheimer's disease (AD), is based on classification of features extracted from brain images …
Alzheimer's disease (AD), is based on classification of features extracted from brain images …
Alzheimer's disease diagnostics by adaptation of 3D convolutional network
Early diagnosis, playing an important role in preventing progress and treating the
Alzheimer's disease (AD), is based on classification of features extracted from brain images …
Alzheimer's disease (AD), is based on classification of features extracted from brain images …
Computational psychiatry as a bridge from neuroscience to clinical applications
Translating advances in neuroscience into benefits for patients with mental illness presents
enormous challenges because it involves both the most complex organ, the brain, and its …
enormous challenges because it involves both the most complex organ, the brain, and its …
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge
Algorithms for computer-aided diagnosis of dementia based on structural MRI have
demonstrated high performance in the literature, but are difficult to compare as different data …
demonstrated high performance in the literature, but are difficult to compare as different data …
[HTML][HTML] From estimating activation locality to predicting disorder: a review of pattern recognition for neuroimaging-based psychiatric diagnostics
Psychiatric disorders are increasingly being recognised as having a biological basis, but
their diagnosis is made exclusively behaviourally. A promising approach for …
their diagnosis is made exclusively behaviourally. A promising approach for …
[HTML][HTML] Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI
A fundamental goal across the neurosciences is the characterization of relationships linking
brain anatomy, functioning, and behavior. Although various MRI modalities have been …
brain anatomy, functioning, and behavior. Although various MRI modalities have been …
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data
A large number of papers have introduced novel machine learning and feature extraction
methods for automatic classification of Alzheimer's disease (AD). However, while the vast …
methods for automatic classification of Alzheimer's disease (AD). However, while the vast …