Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …

Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …

Due to the intrinsic non-invasive nature, cost-effectiveness, high safety, and real-time
capabilities, besides diagnostic imaging, ultrasound as a typical mechanical wave has been …

Deep learning (DL) has proved successful in medical imaging and, in the wake of the recent
COVID-19 pandemic, some works have started to investigate DL-based solutions for the …

Recent advances in wearable ultrasound technologies have demonstrated the potential for
hands-free data acquisition, but technical barriers remain as these probes require wire …

Deep learning (DL) has solved a problem that a few years ago was thought to be intractable—
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …

With the advent of advancements in deep learning approaches, such as deep convolution
neural network, residual neural network, adversarial network; U-Net architectures are most …

Care during the COVID-19 pandemic hinges upon the existence of fast, safe, and highly
sensitive diagnostic tools. Considering significant practical advantages of lung ultrasound …

In vivo imaging technologies have emerged as a powerful tool for both fundamental
research and clinical practice. In particular, luminescence imaging in the tissue-transparent …

Over the past few years, what might not unreasonably be described as a true revolution has
taken place in the field of machine vision, radically altering the way many things had …