Semantic image segmentation is an important prerequisite for context-awareness and
autonomous robotics in surgery. The state of the art has focused on conventional RGB video …

Significance: Optical and acoustic imaging techniques enable noninvasive visualisation of
structural and functional properties of tissue. The quantification of measurements, however …

The severe shortage of functional donor lungs that can be offered to recipients has been a
major challenge in lung transplantation. Innovative ex vivo lung perfusion (EVLP) and tissue …

Synthetic medical image generation has evolved as a key technique for neural network
training and validation. A core challenge, however, remains in the domain gap between …

Abstract Background and Objective Neonatal health is critical for early infant care, where
accurate and timely diagnoses are essential for effective intervention. Traditional methods …

Among the different contactless techniques for medical diagnosis, hyperspectral imaging
has gained relevance due to the high accuracy in tissues classification. Several techniques …

Significance Imaging blood oxygen saturation (SO 2) in the skin can be of clinical value
when studying ischemic tissue. Emerging multispectral snapshot cameras enable real-time …

Significance Multispectral imaging (MSI) is an approach for real-time, quantitative, and non-
invasive tissue perfusion measurements. Current laparoscopic systems based on mosaic …

We present the development of SpeCamX, a mobile application that enables an unmodified
smartphone into a multispectral imager. Multispectral imaging provides detailed spectral …

Skin's reflectance spectrum contains abundant information about the human body, yet the
coupling effect between skin deformation and physiological states on it are not well …