The semantic image segmentation task consists of classifying each pixel of an image into an
instance, where each instance corresponds to a class. This task is a part of the concept of …

This paper reviews ultrasound segmentation methods, in a broad sense, focusing on
techniques developed for medical B-mode ultrasound images. First, we present a review of …

Electronic visual prostheses, or biomimetic eyes, have shown the feasibility of restoring
functional vision in the blind through electrical pulses to initiate neural responses artificially …

In the last 30 years, the contrast-to-noise ratio (CNR) has been used to estimate the contrast
and lesion detectability in ultrasound images. Recent studies have shown that the CNR …

There is a need for noninvasive methods to detect liver steatosis, which can be a factor of
liver fibrosis progression. This work aims to evaluate a novel ultrasonic controlled …

Most of ultrasound medical imaging systems currently on the market implement standard
Delay and Sum (DAS) beamforming to form B-mode images. However, image resolution and …

Ultrasound (US) imaging is widely used for anatomical structure inspection in clinical
diagnosis. The training of new sonographers and deep learning based algorithms for US …

Remote and precisely controlled activation of the brain is a fundamental challenge in the
development of brain–machine interfaces for neurological treatments. Low-frequency …

In image processing, restoration is expected to improve the qualitative inspection of the
image and the performance of quantitative image analysis techniques. In this paper, an …

Biomedical imaging is unequivocally dependent on the ability to reconstruct interpretable
and high-quality images from acquired sensor data. This reconstruction process is pivotal …