Latest AI and machine learning research in radiology for healthcare professionals.
Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-te...
BACKGROUND: Three-dimensional (3D) ultrasound (US) reconstruction is of significant value in clinica...
OBJECTIVE: Reorienting cardiac positron emission tomography (PET) images to the transaxial plane is ...
PURPOSE: This study investigates the causal mechanisms underlying radiology report generation by ana...
Recent advancements in artificial intelligence (AI) and traffic sensing technologies provide signifi...
White matter hyperintensity (WMH) is a primary manifestation of small vessel disease (SVD), leading ...
Accurate prediction of depressive symptoms in healthy individuals can enable early intervention and ...
Colorectal cancer remains a major global health challenge, emphasizing the need for advanced diagnos...
In recent years, interventional pulmonology has advanced rapidly, with bronchoscopy becoming a corne...
Solving computer vision problems through machine learning, one often encounters lack of sufficient...
Magnetic resonance imaging (MRI) enables non-invasive, high-resolution analysis of muscle structur...
Purpose: Ultra-high-field 7T MRI offers improved resolution and contrast over standard clinical fi...
Current challenges in developing foundational models for volumetric imaging data, such as magnetic...
Cerebrovascular pathology significantly contributes to cognitive decline and neurological disorder...
The development of robust deep learning models for breast ultrasound (BUS) image analysis is signi...
Compressive imaging (CI) reconstruction, such as snapshot compressive imaging (SCI) and compressiv...
The analysis of carotid arteries, particularly plaques, in multi-sequence Magnetic Resonance Imagi...
Ultrasound imaging is a prevalent diagnostic tool known for its simplicity and non-invasiveness. H...
In recent years, deep learning has shown great promise in the automated detection and classificati...
Despite significant advancements in adapting Large Language Models (LLMs) for radiology report gen...
Accurate cortical surface reconstruction from magnetic resonance imaging (MRI) data is crucial for...