Latest AI and machine learning research in radiology for healthcare professionals.
Semantic segmentation of domain-specific imaging data where labelled training examples are scarce an...
Multi-modal MRI brain image translation via available modalities holds significant practical importa...
Self-supervised foundation models have shown strong promise in medical imaging. However, existing MR...
We present a Dual-Domain Equivariant Generative Adversarial Network (DDE-GAN) for multimodal CT-PET ...
The increasing availability of portable ultrasound systems motivates exploration of novel approaches...
Visual causal reasoning is essential for understanding and intervening in the physical world, requir...
Neurodegenerative diseases such as Alzheimer's disease (AD) require accurate and scalable tools for ...
Accurate prediction of overall survival (OS) from positron emission tomography/computed tomography (...
Clinicians diagnose brain tumors by synthesizing patient symptoms, medical history, and quantitative...
Introduction: Structural neuroimaging relies on T1-weighted (T1w) magnetic resonance imaging (MRI) f...
Accurate segmentation of carotid arteries in ultrasound imaging is critical for stroke risk assessme...
Existing deep learning models for Positron Emission Tomography (PET) image denoising often suffer fr...
A global shortage of trained sonographers limits prenatal ultrasound screening in low- and middle-in...
Clinicians diagnose brain tumors by synthesizing patient symptoms, medical history, and quantitative...
Most existing deep learning-based PET image denoising methods assume a fixed and known dose reductio...
Lumbar spine conditions are a leading cause of disability worldwide, yet reliable quantification of ...
Accurate lesion segmentation from whole-body Positron Emission Tomography (PET)/Computed Tomography ...
Spinal cord morphometry provides essential biomarkers of neurological health, but clinical interpret...
Spinal pathology is a leading cause of pain and disability worldwide. Spine MRI is central to clinic...
Clinical ultrasound images often contain artificial markers, such as measurement calipers and text, ...
Artificial intelligence is rapidly advancing materials characterization, yet most applications in el...