Radiology

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Dual-Field Microvascular Segmentation: Hemodynamically-Consistent Attention Learning for Retinal Vasculature Mapping

Accurate retinal Microvascular segmentation demands a balanced combination of anatomical fidelity an...

Machine learning-based optimization of a single-element transcranial focused ultrasound transducer for deep brain neuromodulation in mice

Transcranial focused ultrasound is an emerging noninvasive neuromodulation technique that offers hig...

Abnormally increased intrinsic neural timescales in sensory and default mode networks in cocaine use disorder

Cocaine use disorder (CUD) is associated with abnormal structural and functional brain changes. Howe...

MRI-based classifier to identify close-to-onset cases in C9orf72 genetic frontotemporal dementia

Predicting symptom onset in genetic frontotemporal dementia (FTD) is crucial for advancing targeted ...

Generating Synthetic MR Perfusion Maps from DWI and FLAIR in Acute Ischemic Stroke using Deep Learning

Magnetic resonance imaging (MRI) is critical for acute stroke triage, but time-consuming, and often ...

Scale-dependent brain age with cosmological higher-order statistics from structural magnetic resonance imaging

Inferring chronological age from magnetic resonance imaging (MRI) brain data has become a valuable t...

Voxel-accurate MRI-microscopy correlation enables AI-powered prediction of brain disease states

Magnetic resonance imaging (MRI) is essential for visualizing the healthy and diseased brain, yet th...

Neural field patient-specific super resolution for enhanced 1.5 Tesla brain MRI visualization

Brain magnetic resonance imaging serves as a cornerstone of preoperative neurosurgical assessment. N...

Comparison of dimensionality reduction and feature selection for cognitive task decoding in functional magnetic resonance imaging

Advances in functional magnetic resonance imaging (fMRI) have led to the ability to study the brain ...

Normalized Raman Imaging for Studies of Tissue Physiology of the Kidney

Histology is the cornerstone of clinical pathology and an essential tool for many areas of medicine....

Nuclear Irregularity as a Universal Diagnostic Tool in Solid Tumors

As tumors develop, cancer cells accumulate diverse genomic and phenotypic alterations to meet height...

Explainable 3D CNNs link regional and network level disruption in early Parkinson’s MRIs to symptom progression

Parkinson’s Disease (PD) is a progressive neurodegenerative disorder affecting approximately 1% of t...

Machine learning-based development of Gadolinium binding peptides

Gadolinium-based contrast agents (GBCAs) are indispensable tools in magnetic resonance imaging (MRI)...

Probabilistic Multi-site MR Image Harmonization via Feature Preserving Conditional Generative Adversarial Networks

Brain magnetic resonance imaging (MRI) is pivotal in diagnosing and monitoring neurological disorder...

Cellular deconvolution of the brain with topological magnetic resonance image analysis

Magnetic resonance imaging (MRI) is foundational tool in neuroscience, enabling characterization of ...

Multimodal Connectivity-based Cortical Segmentation with Graph Neural Networks

Due to the significant amount of time and expertise needed for manual segmentation of the brain cort...

Leveraging Hand-Crafted Radiomics on Multicenter FLAIR MRI for Predicting Disability Progression in People with Multiple Sclerosis

Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system that results i...

A Multimodal Vision-text AI Copilot for Brain Disease Diagnosis and Medical Imaging

Integrating non-invasive brain imaging techniques, particularly computed tomography (CT) and magneti...

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