Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

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

Telesurgical robotics, as a technical solution for robot-assisted minimally invasive surgery
(RAMIS), has become the first domain within medicosurgical robotics that achieved a true …

In many tasks, in particular in natural science, the goal is to determine hidden system
parameters from a set of measurements. Often, the forward process from parameter-to …

Recent technological developments have resulted in the availability of miniaturised spectral
imaging sensors capable of operating in the multi-(MSI) and hyperspectral imaging (HSI) …

Quantification of tissue properties with photoacoustic (PA) imaging typically requires a highly
accurate representation of the initial pressure distribution in tissue. Almost all PA scanners …

Significance: Two-dimensional (2-D) fully convolutional neural networks have been shown
capable of producing maps of sO2 from 2-D simulated images of simple tissue models …

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 …

With the advent of Minimally Invasive Surgery (MIS), intra-operative imaging has become
crucial for surgery and therapy guidance, allowing to partially compensate for the lack of …

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 …