[HTML][HTML] Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization
Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice
J Sastre-Garriga, D Pareto, M Battaglini… - Nature Reviews …, 2020 - nature.com
Early evaluation of treatment response and prediction of disease evolution are key issues in
the management of people with multiple sclerosis (MS). In the past 20 years, MRI has …
the management of people with multiple sclerosis (MS). In the past 20 years, MRI has …
Image processing and analysis methods for the Adolescent Brain Cognitive Development Study
Abstract The Adolescent Brain Cognitive Development (ABCD) Study is an ongoing,
nationwide study of the effects of environmental influences on behavioral and brain …
nationwide study of the effects of environmental influences on behavioral and brain …
OASIS-3: longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and Alzheimer disease
ABSTRACT OASIS-3 is a compilation of MRI and PET imaging and related clinical data for
1098 participants who were collected across several ongoing studies in the Washington …
1098 participants who were collected across several ongoing studies in the Washington …
Harmonization of cortical thickness measurements across scanners and sites
With the proliferation of multi-site neuroimaging studies, there is a greater need for handling
non-biological variance introduced by differences in MRI scanners and acquisition …
non-biological variance introduced by differences in MRI scanners and acquisition …
Safety, efficacy, and feasibility of intranasal insulin for the treatment of mild cognitive impairment and Alzheimer disease dementia: a randomized clinical trial
Importance Insulin modulates aspects of brain function relevant to Alzheimer disease and
can be delivered to the brain using intranasal devices. To date, the use of intranasal insulin …
can be delivered to the brain using intranasal devices. To date, the use of intranasal insulin …
Dual attention multi-instance deep learning for Alzheimer's disease diagnosis with structural MRI
Structural magnetic resonance imaging (sMRI) is widely used for the brain neurological
disease diagnosis, which could reflect the variations of brain. However, due to the local …
disease diagnosis, which could reflect the variations of brain. However, due to the local …
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
Abstract Machine learning analysis of neuroimaging data can accurately predict
chronological age in healthy people. Deviations from healthy brain ageing have been …
chronological age in healthy people. Deviations from healthy brain ageing have been …
A randomized, double-blind, placebo-controlled trial of resveratrol for Alzheimer disease
Objective: A randomized, placebo-controlled, double-blind, multicenter 52-week phase 2
trial of resveratrol in individuals with mild to moderate Alzheimer disease (AD) examined its …
trial of resveratrol in individuals with mild to moderate Alzheimer disease (AD) examined its …
The minimal preprocessing pipelines for the Human Connectome Project
Abstract The Human Connectome Project (HCP) faces the challenging task of bringing
multiple magnetic resonance imaging (MRI) modalities together in a common automated …
multiple magnetic resonance imaging (MRI) modalities together in a common automated …