This paper discusses current methods and trends for 3D bounding box detection in
volumetric medical image data. For this purpose, an overview of relevant papers from recent …

A two-step concept for 3D segmentation on 5 abdominal organs inside volumetric CT
images is presented. First each relevant organ's volume of interest is extracted as bounding …

External-beam radiotherapy followed by high dose rate (HDR) brachytherapy is the standard-
of-care for treating gynecologic cancers. The enhanced soft-tissue contrast provided by …

Real-time visual feedback from catheterization analysis is crucial for enhancing surgical
safety and efficiency during endovascular interventions. However, existing datasets are …

The gynecological cancer mortality rate, including cervical, ovarian, vaginal and vulvar
cancers, is more than 20,000 annually in the US alone. In many countries, including the US …

Current virtual reality (VR) training simulators of liver punctures often rely on static 3D patient
data and use an unrealistic (sinusoidal) periodic animation of the respiratory movement …

Virtual reality (VR) training simulators of liver needle insertion in the hepatic area of
breathing virtual patients often need 4D image data acquisitions as a prerequisite. Here, first …

Recently, the institutionalized transformation of frontal instruction classrooms into active
learning spaces to foster the concept of (inter-) active learning has gained increasing …

Purpose Radio-frequency ablations play an important role in the therapy of malignant liver
lesions. The navigation of a needle to the lesion poses a challenge for both the trainees and …

Purpose Endovascular repair of aortic aneurysms (EVAR) can be supported by fusing pre-
and intraoperative data to allow for improved navigation and to reduce the amount of …