We present MedShapeNet, a large collection of anatomical shapes (eg, bones, organs,
vessels) and 3D surgical instrument models. Prior to the deep learning era, the broad …

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 …

Each year thousands of people suffer from various types of cranial injuries and require
personalized implants whose manual design is expensive and time-consuming. Therefore …

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 …

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 …

Background: Virtual reality (VR), widely used in the medical field, may affect future medical
training and treatment. Therefore, this study examined VR's potential uses and research …

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 …

Modeling and manufacturing of personalized cranial implants are important research areas
that may decrease the waiting time for patients suffering from cranial damage. The modeling …

Automatic cranial implant design aims to design a patient-specific implant where various
machine-learning-based skull reconstruction techniques have been introduced to predict the …