In-vivo histology of Parkinson’s disease using quantitative multiparametric mapping
Precise disease heterogeneity and progression quantification in MSA and Parkinson’s disease using machine learning
Reduced cortical thickness in individuals with congenital adrenal hyperplasia (CAH)
Magnetic resonance texture alterations in the caudate nucleus following 18 weeks of clozapine treatment in patients with treatment-resistant schizophrenia
Performance of a GPU- and time-efficient pseudo-3D network for magnetic resonance image super-resolution and motion artifact reduction
Computer-aided diagnosis of neonatal acute bilirubin encephalopathy with multi-modal MRI images and convolutional neural networks
Stage-Dependent mediation of white matter hyperintensities between plasma biomarkers and cognitive function in Alzheimer’s disease
Contrast-free identification of glioma blood-brain barrier status via generative diffusion AI and non-contrast MRI
Mapping heterogeneous brain structural subtypes in alzheimer’s disease and mild cognitive impairment using normative models
Computation and resource efficient genome-wide association analysis for large-scale imaging studies
Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology
Alzheimer’s related dementia severity classification from magnetic resonance imaging using derivative-free optimization of convolutional neural network
Deep learning models identify brain changes during the progression of Alzheimer’s disease
Classification of dysphagia severity after lateral medullary infarction with deep learning
Hybrid deep learning novel framework for classification of parkinson’s disease
Structural brain analysis in focal upper limb dystonia
Brain texture alterations predict subtle visual perceptual dysfunctions in recent onset psychosis and clinical high-risk state
Free water in the external globus pallidus predicts mild cognitive impairment in Parkinson’s disease and is associated with serum neurofilament light chain levels
Parameter-efficient convolutional neural network for drug treatment outcome studies of pediatric epilepsy
Pseudo-healthy image synthesis via location-guided diffusion models for focal cortical dysplasia lesion localization
Evaluation of deep learning models for segmentation of hippocampus volumes from MRI images in Alzheimer’s disease
Machine learning to infer neurocognitive testing scores among adolescents and young adults with congenital heart disease
A generalizable foundation model for analysis of human brain MRI
MRI neuroimaging-based Alzheimer’s disease stage classification using deep neural network with convolutional block attention module and GAN-style noise injection
A probabilistic deep learning approach for choroid plexus segmentation in autism spectrum disorder
Safety and efficacy of privacy-preserving models to create Lay summaries of brain MRI reports
Human brain MRI data of intrathecally injected tracer evolution over 72 hours for data-integrated simulations
Trajectory of stratum radiatum, lacunosum and moleculare integrity in Alzheimer’s disease continuum
Masked autoencoding, generalizable pretraining, and integrated experts for enhanced glioma segmentation
An epidemiological analysis of cranio-vertebral morphometrics other than tonsillar position in symptomatic, adult, female Chiari malformation type I
How do infant brains fold? Sulcal deepening is linked to development of sulcal span, thickness, curvature, and microstructure
Handcrafted MRI radiomics of enlarged perivascular spaces and machine learning predict cognitive impairment and sleep disturbance in young adults
Perivascular pathology, not macrovascular complexity, governs glymphatic-related dysfunction in preclinical cerebral small vessel disease