Latest AI and machine learning research in radiology for healthcare professionals.
Trustworthy clinical AI requires that performance gains reflect genuine evidence integration rather ...
Accurate MRI-to-CT synthesis could enable MR-only pelvic workflows by providing CT-like images with ...
Identification and quantification of myocardial scar is important for diagnosis and prognosis of car...
Predicting whether someone with mild cognitive impairment (MCI) will progress to Alzheimer's disease...
Cone-beam computed tomography (CBCT) images are problematic in clinical medicine because of their lo...
Echo-planar imaging (EPI) remains the cornerstone of diffusion MRI, but it is prone to severe geomet...
Cardiac MRI late gadolinium enhancement (LGE) enables non-invasive identification of left atrial (LA...
Background Microvascular dysfunction is a key component of many cardiovascular (CV) diseases. Assess...
Background: Pretest probability (PTP) models using clinical risk factors guide decision-making for c...
Blind Sweep Obstetric Ultrasound (BSOU) enables scalable fetal imaging in low-resource settings by a...
Implicit neural representations (INRs) have emerged as a powerful framework for continuous image rep...
Diffusion Magnetic Resonance Imaging (dMRI) plays a critical role in studying microstructural change...
This study analyzes the adoption, barriers, and expectations of French radiologists regarding the us...
Importance: People living with rare diseases (PLWRD) often face significant challenges in receiving ...
Segmenting the left atrial wall from late gadolinium enhancement magnetic resonance images (MRI) is ...
The widespread adoption of CT has notably increased the number of detected lung nodules. However, cu...
Currently, evaluating vision-language models (VLMs) in medical imaging tasks oversimplifies clinical...
Computed tomography image segmentation of complex abdominal aortic aneurysms (AAA) often fails becau...
Coronary artery disease, the leading cause of cardiovascular mortality worldwide, can be assessed no...
Foundation models (FMs) for brain magnetic resonance imaging (MRI) are increasingly adopted as pretr...
Deep learning and generative models are advancing rapidly, with synthetic data increasingly being in...