Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the autoimplant 2021 cranial implant design challenge

J Li, DG Ellis, O Kodym, L Rauschenbach, C Rieß… - Medical Image …, 2023 - Elsevier
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 …

MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision

J Li, Z Zhou, J Yang, A Pepe, C Gsaxner… - Biomedical …, 2024 - degruyter.com
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 …

[HTML][HTML] Deep learning-based framework for automatic cranial defect reconstruction and implant modeling

M Wodzinski, M Daniol, M Socha, D Hemmerling… - Computer methods and …, 2022 - Elsevier
Abstract Background and Objective: This article presents a robust, fast, and fully automatic
method for personalized cranial defect reconstruction and implant modeling. Methods: We …

Haptic Source-Effector: Full-Body Haptics via Non-Invasive Brain Stimulation

Y Tanaka, J Serfaty, P Lopes - Proceedings of the CHI Conference on …, 2024 - dl.acm.org
We propose a novel concept for haptics in which one centralized on-body actuator renders
haptic effects on multiple body parts by stimulating the brain, ie, the source of the nervous …

Back to the roots: Reconstructing large and complex cranial defects using an image-based statistical shape model

J Li, DG Ellis, A Pepe, C Gsaxner… - Journal of Medical …, 2024 - Springer
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 …

A novel approach to craniofacial analysis using automated 3D landmarking of the skull

F Wilke, H Matthews, N Herrick, N Dopkins, P Claes… - Scientific Reports, 2024 - nature.com
Automatic dense 3D surface registration is a powerful technique for comprehensive 3D
shape analysis that has found a successful application in human craniofacial morphology …

Automatic Implant Generation for Cranioplasty via Occupancy Networks

S Mazzocchetti, M Bevini, G Badiali, G Lisanti… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders

M Wodzinski, D Hemmerling, M Daniol - arXiv preprint arXiv:2404.13106, 2024 - arxiv.org
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 …

Thickness and design features of clinical cranial implants—what should automated methods strive to replicate?

Z Fishman, JG Mainprize, G Edwards… - International Journal of …, 2024 - Springer
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 …

[HTML][HTML] Automated 3D Landmarking of the Skull: A Novel Approach for Craniofacial Analysis

F Wilke, H Matthews, N Herrick, N Dopkins, P Claes… - bioRxiv, 2024 - ncbi.nlm.nih.gov
Automatic dense 3D surface registration is a powerful technique for comprehensive 3D
shape analysis that has found a successful application in human craniofacial morphology …