Latest AI and machine learning research in radiology for healthcare professionals.
Modern foundation models provide highly expressive visual representations, yet adapting them to high...
Computer-aided diagnosis (CADx) has become vital in medical imaging, but automated systems often str...
Background: Pleuroparenchymal fibroelastosis (PPFE) is an upper lobe predominant fibrotic lung abnor...
High-resolution Magnetic Resonance Imaging (MRI) is vital for clinical diagnosis but limited by long...
Multimodal medical image fusion facilitates comprehensive diagnosis by aggregating complementary str...
Fetal ultrasound (US) is the primary imaging modality for prenatal screening, yet its interpretation...
Super-resolution ultrasound via microbubble (MB) localisation and tracking, also known as ultrasound...
Multimodal neuroimaging provides complementary insights for Alzheimer's disease diagnosis, yet clini...
In interventional radiology, Cone-Beam Computed Tomography (CBCT) is a helpful imaging modality that...
Thyroid ultrasound (US) automation couples two competing requirements: global, geometry-driven reaso...
Concept Bottleneck Models (CBMs) are a prominent framework for interpretable AI that map learned vis...
Hereditary cerebellar ataxias (HCAs) are rare neurodegenerative disorders characterised by progressi...
Accurate 3D reconstruction of vertebral anatomy from ultrasound is important for guiding minimally i...
Purpose/Objective: Brain tumors result in 20 years of lost life on average. Standard therapies induc...
Rb-82 dynamic cardiac PET imaging is widely used for the clinical diagnosis of coronary artery disea...
Semi-supervised learning (SSL) has emerged as a promising paradigm for breast ultrasound (BUS) image...
Agentic retrieval-augmented reasoning pipelines are increasingly used to structure how large languag...
Cone-beam computed tomography (CBCT) is a widely used 3D imaging technique in dentistry, offering hi...
Large-scale biomedical vision-language models (VLMs) adapted on high-end imaging (e.g., CT) often fa...
The development of radiology foundation models (RFMs) is hindered by a reliance on brute-force scali...
Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prena...