Causal machine learning for healthcare and precision medicine
Causal machine learning (CML) has experienced increasing popularity in healthcare.
Beyond the inherent capabilities of adding domain knowledge into learning systems, CML …
Beyond the inherent capabilities of adding domain knowledge into learning systems, CML …
Mild cognitive impairment
Mild cognitive impairment is a syndrome defined as cognitive decline greater than expected
for an individual's age and education level but that does not interfere notably with activities …
for an individual's age and education level but that does not interfere notably with activities …
Convolutional neural networks-based MRI image analysis for the Alzheimer's disease prediction from mild cognitive impairment
Mild cognitive impairment (MCI) is the prodromal stage of Alzheimer's disease (AD).
Identifying MCI subjects who are at high risk of converting to AD is crucial for effective …
Identifying MCI subjects who are at high risk of converting to AD is crucial for effective …
Charting brain growth and aging at high spatial precision
Defining reference models for population variation, and the ability to study individual
deviations is essential for understanding inter-individual variability and its relation to the …
deviations is essential for understanding inter-individual variability and its relation to the …
Alzheimer's disease detection using depthwise separable convolutional neural networks
J Liu, M Li, Y Luo, S Yang, W Li, Y Bi - Computer Methods and Programs in …, 2021 - Elsevier
To diagnose Alzheimer's disease (AD), neuroimaging methods such as magnetic resonance
imaging have been employed. Recent progress in computer vision with deep learning (DL) …
imaging have been employed. Recent progress in computer vision with deep learning (DL) …
Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database
Recently, several high dimensional classification methods have been proposed to
automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive …
automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive …
Ways toward an early diagnosis in Alzheimer's disease: the Alzheimer's Disease Neuroimaging Initiative (ADNI)
SG Mueller, MW Weiner, LJ Thal, RC Petersen… - Alzheimer's & …, 2005 - Elsevier
With the increasing life expectancy in developed countries, the incidence of Alzheimer's
disease (AD) and thus its socioeconomic impact are growing. Increasing knowledge over …
disease (AD) and thus its socioeconomic impact are growing. Increasing knowledge over …
The cortical signature of Alzheimer's disease: regionally specific cortical thinning relates to symptom severity in very mild to mild AD dementia and is detectable in …
Alzheimer's disease (AD) is associated with neurodegeneration in vulnerable limbic and
heteromodal regions of the cerebral cortex, detectable in vivo using magnetic resonance …
heteromodal regions of the cerebral cortex, detectable in vivo using magnetic resonance …
Considering the role of semantic memory in episodic future thinking: evidence from semantic dementia
Semantic dementia is a progressive neurodegenerative condition characterized by the
profound and amodal loss of semantic memory in the context of relatively preserved …
profound and amodal loss of semantic memory in the context of relatively preserved …
Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
Magnetic resonance imaging (MRI) patterns were examined together with cerebrospinal
fluid (CSF) biomarkers in serial scans of Alzheimer's Disease Neuroimaging Initiative (ADNI) …
fluid (CSF) biomarkers in serial scans of Alzheimer's Disease Neuroimaging Initiative (ADNI) …