Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

14,672 articles
Stay Ahead - Weekly Radiology research updates
Subscribe
Browse Categories
Showing 9808-9828 of 14,672 articles
Zero-shot Multi-Contrast Brain MRI Registration by Intensity Randomizing T1-weighted MRI (LUMIR25)

In this paper, we summarize the methods and results of our submission to the LUMIR25 challenge in Le...

Transformer-based Parameter Fitting of Models derived from Bloch-McConnell Equations for CEST MRI Analysis

Chemical exchange saturation transfer (CEST) MRI is a non-invasive imaging modality for detecting me...

Unsupervised Anomaly Detection of Diseases in the Female Pelvis for Real-Time MR Imaging

Pelvic diseases in women of reproductive age represent a major global health burden, with diagnosis ...

Parallel Swin Transformer-Enhanced 3D MRI-to-CT Synthesis for MRI-Only Radiotherapy Planning

MRI provides superior soft tissue contrast without ionizing radiation; however, the absence of elect...

A Hybrid CNN and ML Framework for Multi-modal Classification of Movement Disorders Using MRI and Brain Structural Features

Atypical Parkinsonian Disorders (APD), also known as Parkinson-plus syndrome, are a group of neurode...

Principled Confidence Estimation for Deep Computed Tomography

We present a principled framework for confidence estimation in computed tomography (CT) reconstructi...

Neural Implicit 3D Cardiac Shape Reconstruction from Sparse CT Angiography Slices Mimicking 2D Transthoracic Echocardiography Views

Accurate 3D representations of cardiac structures allow quantitative analysis of anatomy and functio...

Virtual myocardial blood flow and flow reserve from static PET imaging using artificial intelligence

Background: Quantitative myocardial blood flow (MBF) and myocardial flow reserve (MFR) provide incre...

Predicting Post-Stroke Aphasia Speech Performance from Multimodal Data with Explainable Machine Learning

Aphasia, an acquired language deficit, is the most common post-stroke focal cognitive impairment, an...

Live-cell imaging enables reporter-free monitoring of the circadian rhythm in individual Synechocystis cells

In vivo monitoring of circadian rhythms depends on reliable and non-invasive detection methods. This...

OmniRad: A Radiological Foundation Model for Multi-Task Medical Image Analysis

Radiological analysis increasingly benefits from pretrained visual representations that can support ...

Brain-SAM: A SAM-based Model Tailored for Brain MRI Lesion Segmentation

Magnetic resonance imaging (MRI) is a cornerstone of modern neuroimaging, where accurate segmentatio...

Multiparameter Uncertainty Mapping in Quantitative Molecular MRI using a Physics-Structured Variational Autoencoder (PS-VAE)

Quantitative imaging methods, such as magnetic resonance fingerprinting (MRF), aim to extract interp...

From Pre- to Intra-operative MRI: Predicting Brain Shift in Temporal Lobe Resection for Epilepsy Surgery

Introduction: In neurosurgery, image-guided Neurosurgery Systems (IGNS) highly rely on preoperative ...

Perfusion Imaging and Single Material Reconstruction in Polychromatic Photon Counting CT

Background: Perfusion computed tomography (CT) images the dynamics of a contrast agent through the b...

Multi-View Stenosis Classification Leveraging Transformer-Based Multiple-Instance Learning Using Real-World Clinical Data

Coronary artery stenosis is a leading cause of cardiovascular disease, diagnosed by analyzing the co...

Hybrid Topological and Deep Feature Fusion for Accurate MRI-Based Alzheimer's Disease Severity Classification

Early and accurate diagnosis of Alzheimer's disease (AD) remains a critical challenge in neuroimagin...

VAMOS-OCTA: Vessel-Aware Multi-Axis Orthogonal Supervision for Inpainting Motion-Corrupted OCT Angiography Volumes

Handheld Optical Coherence Tomography Angiography (OCTA) enables noninvasive retinal imaging in unco...

CortiNet: A Physics-Perception Hybrid Cortical-Inspired Dual-Stream Network for Gallbladder Disease Diagnosis from Ultrasound

Ultrasound imaging is the primary diagnostic modality for detecting Gallbladder diseases due to its ...

Baseline Method of the Foundation Model Challenge for Ultrasound Image Analysis

Ultrasound (US) imaging exhibits substantial heterogeneity across anatomical structures and acquisit...

A texture-based framework for foundational ultrasound models

Ultrasound is the most widely used medical imaging modality, yet the images it produces are fundamen...

Browse Categories