Latest AI and machine learning research in radiology for healthcare professionals.
The rapid development of artificial intelligence technology is driving profound changes in medical p...
To address the issues of difficulty in preserving anatomical structures, low realism of generated im...
Sphincter-preserving surgery has become the mainstream approach for mid-to-low rectal cancer, yet po...
AIMS: Coronary computed tomography angiography (CCTA) is a first-line investigation for chest pain i...
BACKGROUND AND AIMS: Positron emission tomography (PET)/computed tomography (CT) myocardial perfusio...
In clinical practice, imaging modalities with functional characteristics, such as positron emissio...
Cancer is an abnormal growth with potential to invade locally and metastasize to distant organs. A...
Multi-parametric magnetic resonance imaging (mpMRI) exams have various series types acquired with ...
Recent advancements in diffusion probabilistic models (DPMs) have revolutionized image processing,...
Rapid and reliable vascular access is critical in trauma and critical care. Central vascular cathe...
Recent advancements in vision-language systems have improved the accuracy of Radiological Visual Q...
We present FOMO60K, a large-scale, heterogeneous dataset of 60,529 brain Magnetic Resonance Imagin...
Accurate segmentation and classification of brain tumors from Magnetic Resonance Imaging (MRI) rem...
In response to the increasing demand for cardiocerebrovascular interventional surgeries, precise c...
Foundation models (FMs), large neural networks pretrained on extensive and diverse datasets, have ...
Accurate segmentation of vascular structures in coronary angiography remains a core challenge in m...
Generative models based on deep learning have shown significant potential in medical imaging, part...
Accurate brain tumor classification is crucial in medical imaging to ensure reliable diagnosis and...
Breast cancer remains a leading cause of cancer-related mortality worldwide, making early detectio...
The widespread use of Magnetic Resonance Imaging (MRI) and the rise of deep learning have enabled ...
AI requires extensive datasets, while medical data is subject to high data protection. Anonymizati...