Latest AI and machine learning research in radiology for healthcare professionals.
Identifying subtypes of neuropsychiatric disorders based on characteristics of their brain activity ...
Revascularization of chronic total occlusions (CTO) is currently one of the most complex procedures ...
Ultrasound guided nerve blocks are increasingly being used in perioperative care as a means of safel...
The creation of unique control methods for a hand prosthesis is still a problem that has to be addre...
Accurate lesion classification as benign or malignant in breast ultrasound (BUS) images is a critica...
Left atrial appendage (LAA) is the major source of thromboembolism in patients with non-valvular atr...
Combined functional-anatomic imaging modalities, which integrate the benefits of visualizing gross a...
Ultrasound (US) imaging is a widely used medical imaging modality for the diagnosis, monitoring, and...
The generation of super resolution ultrasound images from the low-resolution (LR) brightness mode (B...
Real-time cine cardiac MRI provides an ECG-free free-breathing alternative to clinical gold-standard...
Ultrasound examinations during pregnancy can detect abnormal fetal development, which is a leading c...
Magnetic particle imaging (MPI) is a tomographic imaging method that quantitatively determines the d...
Objective knowledge about instrument manoeuvres in endovascular surgery is essential for evaluating ...
Chronic hypoxia is known to be a major cause of neurite length retraction followed be degeneration. ...
Medical ultrasonography was first used as a diagnostic tool in 1942 by Theodore Karl Dussik to visua...
To compare the quality and interobserver agreement in the evaluation of lumbar spinal stenosis (LSS)...
Gray-level co-occurrence matrix (GLCM) and discrete wavelet transform (DWT) analyses are two contemp...
Deep learning has been recognized as a paradigm-shifting tool in radiology. Deep learning reconstruc...
Transmissive laser speckle imaging (LSI) is useful for monitoring large field-of-view (FOV) blood fl...
Background Deep learning (DL) models can potentially improve prognostication of rectal cancer but ha...