Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables
spatially resolved imaging of optical tissue properties up to several centimeters deep in …

Laparoscopic surgery has evolved as a key technique for cancer diagnosis and therapy.
While characterization of the tissue perfusion is crucial in various procedures, such as partial …

Intelligent systems in interventional healthcare depend on the reliable perception of the
environment. In this context, photoacoustic tomography (PAT) has emerged as a non …

Purpose Photoacoustic tomography (PAT) is a novel imaging technique that can spatially
resolve both morphological and functional tissue properties, such as vessel topology and …

Purpose In many low-and middle-income countries (LMICs), non-surgeon physicians are
responsible for urgent and emergent surgical procedures due to the paucity of formally …

Many clinical applications currently rely on several imaging modalities such as Positron
Emission Tomography (PET), Magnetic Resonance Imaging (MRI), Computed Tomography …

This thesis shows that data-driven approaches have the potential to solve many of the
challenges of achieving quantitative photoacoustic imaging. To this end, rigorous in silico …

1.1 Physiological structure of the brain.(a) The human brain can be divided into four lobes:
frontal, parietal, occipital and temporal, depending on one of their main functions: reasoning …

A CADx system for analysing medical images and determining if the images are acceptable
for analysis, by determining if the images contain out-of-distribution input data is described …

A method for image reconstruction and domain transfer through an invertible depth network
is described. The method includes training a first invertible depth network model using a first …