Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: To compare the diagnostic performance of a deep learning (DL) model with that of musculoske...
PURPOSE: To compare the diagnostic performance of deep learning models using convolutional neural ne...
BACKGROUND: Robotic-assisted cardiovascular interventional surgery is an effective means to reduce t...
The objective of this study was to investigate the application effect of deep learning model combine...
BACKGROUND: Digital subtraction angiography (DSA) is the gold-standard method of assessing arterial ...
BACKGROUND: With the 0.55 T magnetic resonance imaging (MRI) scanner "Free.Max", a new device concep...
Parallel imaging is the most clinically used acceleration technique for magnetic resonance imaging (...
Cross-modality image estimation involves the generation of images of one medical imaging modality fr...
Traditional beamforming of medical ultrasound images relies on sampling rates significantly higher t...
The application of lung ultrasound (LUS) imaging for the diagnosis of lung diseases has recently cap...
Many interventional surgical procedures rely on medical imaging to visualize and track instruments. ...
While accuracy is an evident criterion for ultrasound image segmentation, output consistency across ...
In clinical positron emission tomography (PET) imaging, quantification of radiotracer uptake in tumo...
Plastic waste poses an ecological challenge and enzymatic degradation offers one, potentially green ...
It is important to study the evaluation algorithm for the stroke rehabilitation treatment effect to ...
BACKGROUND: Recent advances in performance of natural language processing (NLP) techniques have spur...
The coronary atherosclerotic heart disease is a common cardiovascular disease with high morbidity, d...
To determine the stone-free rates (SFR) with robot-assisted mini-endoscopic combined intrarenal sur...
We introduced Double Attention Res-U-Net architecture to address medical image segmentation problem ...
Grating interferometry is a promising technique to obtain differential phase contrast images with il...
To evaluate the clinical performance of a deep learning-accelerated single-breath-hold half-Fourier ...