Cranial implants are commonly used for surgical repair of craniectomy-induced skull defects.
These implants are usually generated offline and may require days to weeks to be available …

The aim of this paper is to provide a comprehensive overview of the MICCAI 2020
AutoImplant Challenge. The approaches and publications submitted and accepted within …

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 …

Advances in 3D printing of biocompatible materials make patient-specific implants
increasingly popular. The design of these implants is, however, still a tedious and largely …

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 …

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

Statistical shape models (SSMs) are effective for image processing and analysis and have
been used in various medical fields, including face recognition and cranial bone recognition …

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 …

Driven by the growing interest of the scientific community and the proliferation of research in
this field, cranial implants have seen significant advancements in recent years regarding …

The automatic design of cranial implants is an important and challenging task. The implants
must be designed according to the individual characterization of the patient's defect. This …