Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …

Accurate and selective biomarker analysis is crucial for understanding physiopathology.
Unlike fluorescence, responsive Raman scattering probes (RRPs) are gaining attention for …

The advent of telerobotic systems has revolutionized various aspects of the industry and
human life. This technology is designed to augment human sensorimotor capabilities to …

Fluorescence lifetime imaging (FLIm) is an optical spectroscopic imaging technique capable
of real‐time assessments of tissue properties in clinical settings. Label‐free FLIm is sensitive …

Background Deep learning applied to ultrasound (US) can provide a feedback to the
sonographer about the correct identification of scanned tissues and allows for faster and …

Predicting fetal brain abnormalities (FBAs) is an urgent global problem, as nearly three of
every thousand women are pregnant with neurological abnormalities. Therefore, early …

Image guidance is a common methodology of minimally invasive procedures. Depending on
the type of intervention, various imaging modalities are available. Common imaging …

Neuroendoscopic approach to deep-brain targets imparts deformation of the ventricles and
adjacent parenchyma, limiting the accuracy of conventional neuronavigation. We report a …

To mitigate the challenges of operating through narrow incisions under image guidance,
there is a desire to develop intelligent systems that assist decision making and spatial …

Raman spectroscopy has shown very promising results in medical diagnostics by providing
label-free and highly specific molecular information of pathological tissue ex vivo and in …