Latest AI and machine learning research in radiology for healthcare professionals.
This study presents a convolutional neural network (CNN)-based approach for the multi-class classi...
This study integrates PET metabolic information with CT anatomical structures to establish a 3D mu...
While deep learning has shown strong performance in musculoskeletal imaging, existing work has lar...
This paper proposes an Incremental Learning (IL) approach to enhance the accuracy and efficiency o...
Purpose: The scarcity of high-quality curated labeled medical training data remains one of the maj...
Lumbar disc herniation (LDH) is a common musculoskeletal disease that requires magnetic resonance ...
Background: Coronary artery bypass grafting (CABG) planning requires advanced spatial visualizatio...
Coronary artery disease (CAD) remains a leading cause of mortality worldwide, requiring accurate s...
Knee osteoarthritis (KOA) is a common joint disease that causes pain and mobility issues. While MR...
Echocardiography involves recording videos of the heart using ultrasound, enabling clinicians to e...
Event cameras provide rich signals that are suitable for motion estimation since they respond to c...
Morphometry of medial temporal lobe (MTL) subregions in brain MRI is sensitive biomarker to Alzhei...
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays a crucial role in the detecti...
Glioblastomas are the most aggressive type of glioma, having a 5-year survival rate of 6.9%. Treat...
Glioblastomas are the most aggressive type of glioma, having a 5-year survival rate of 6.9%. Treat...
Dynamic positron emission tomography (PET) with [$^{18}$F]FDG enables non-invasive quantification ...
Accurate kinetic analysis of [$^{18}$F]FDG distribution in dynamic positron emission tomography (P...
Safety assessment of patients with one-dimensionally structured passive implants, like cranial pla...
This study performs a comprehensive evaluation of quantitative measurements as extracted from auto...
Myocardial perfusion imaging (MPI) with single-photon emission computed tomography (SPECT) is a wi...
Accurate and reproducible brain morphometry from structural MRI is critical for monitoring neuroan...