Objectives The shape is commonly used to describe the objects. State-of-the-art algorithms
in medical imaging are predominantly diverging from computer vision, where voxel grids …

The design of personalized cranial implants is a challenging and tremendous task that has
become a hot topic in terms of process automation with the use of deep learning techniques …

Traditional convolutional neural network (CNN) methods rely on dense tensors, which
makes them suboptimal for spatially sparse data. In this paper, we propose a CNN model …

Abstract Background and Objective: This article presents a robust, fast, and fully automatic
method for personalized cranial defect reconstruction and implant modeling. Methods: We …

In this paper, we introduce a completion framework to reconstruct the geometric shapes of
various anatomies, including organs, vessels and muscles. Our work targets a scenario …

Designing implants for large and complex cranial defects is a challenging task, even for
professional designers. Current efforts on automating the design process focused mainly on …

The design of patient-specific implants for cranioplasty surgery is time-consuming and
challenging. Hence, the 2021 AutoImplant II challenge, consisting of the SkullBreak and …

Thousands of people suffer from cranial injuries every year. They require personalized
implants that need to be designed and manufactured before the reconstruction surgery. The …

Purpose New deep learning and statistical shape modelling approaches aim to automate
the design process for patient-specific cranial implants, as highlighted by the MICCAI …

Orbital blowout fracture (OBF) is a disease that can result in herniation of orbital soft tissue,
enophthalmos, and even severe visual dysfunction. Given the complex and diverse types of …