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07/04/2023
HEDI: First-Time Clinical Application and Results of a Biomechanical Evaluation and Visualisation Tool for Incisional Hernia Repair
Abdominal wall defects often lead to pain, discomfort, and recurrence of...
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03/25/2023
Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning
Noise is an important issue for radiographic and tomographic imaging tec...
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03/24/2023
Optimizing the Procedure of CT Segmentation Labeling
In Computed Tomography, machine learning is often used for automated dat...
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02/24/2023
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image
Morphological atlases are an important tool in organismal studies, and m...
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03/17/2022
Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training
The technical advances in Computed Tomography (CT) allow to obtain immen...
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06/17/2021
Hierarchical surrogate-based Approximate Bayesian Computation for an electric motor test bench
Inferring parameter distributions of complex industrial systems from noi...
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01/20/2020