Deep Learning is the most widely used tool in the contemporary field of computer vision. Its
ability to accurately solve complex problems is employed in vision research to learn deep …

Medical image analysis is currently experiencing a paradigm shift due to deep learning. This
technology has recently attracted so much interest of the Medical Imaging Community that it …

Pharmaceutical preparations for the treatment of skin conditions and skin care are usually
supplied in the form of emulsions. This pharmaceutical dosage form is thermodynamically …

Deep learning is at the heart of the current rise of artificial intelligence. In the field of
computer vision, it has become the workhorse for applications ranging from self-driving cars …

Background and Purpose—The objective of this study was to examine clinical outcomes and
recanalization rates in a multicenter cohort of stroke patients receiving intravenous tissue …

Purpose: To assess the efficacy of a single infusion of radiolabeled anti-prostate-specific
membrane antigen (PSMA) monoclonal antibody J591 (lutetium-177; 177Lu) by prostate …

Multiple Object Tracking (MOT) plays an important role in solving many fundamental
problems in video analysis and computer vision. Most MOT methods employ two steps …

The Mediterranean is expected to be one of the most prominent and vulnerable climate
change “hotspots” of the twenty-first century, and the physical mechanisms underlying this …

Existing hyperspectral imaging systems produce low spatial resolution images due to
hardware constraints. We propose a sparse representation based approach for …

BACKGROUND: Magnetic resonance imaging (MRI) of pacemaker patients is
contraindicated due to documented potential risks to the patient from hazardous interactions …