3 papers
cs.CV2023
Clinical application of HEDI for biomechanical evaluation and visualisation in incisional hernia repair
Philipp D. Lösel, Jacob J. Relle, Samuel Voß +7
Background: Abdominal wall defects, such as incisional hernias, are a common source of pain and discomfort and often require repeated surgical interventions. Traditional mesh repai…
cs.CV2023
Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning
Yaroslav Zharov, Evelina Ametova, Rebecca Spiecker +3
Noise is an important issue for radiographic and tomographic imaging techniques. It becomes particularly critical in applications where additional constraints force a strong reduct…
cs.CV2023
Optimizing the Procedure of CT Segmentation Labeling
Yaroslav Zharov, Tilo Baumbach, Vincent Heuveline
In Computed Tomography, machine learning is often used for automated data processing. However, increasing model complexity is accompanied by increasingly large volume datasets, whi…