Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the autoimplant 2021 cranial implant design challenge
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 …
These implants are usually generated offline and may require days to weeks to be available …
Point cloud diffusion models for automatic implant generation
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 …
increasingly popular. The design of these implants is, however, still a tedious and largely …
3D surgical instrument collection for computer vision and extended reality
The availability of computational hardware and developments in (medical) machine learning
(MML) increases medical mixed realities'(MMR) clinical usability. Medical instruments have …
(MML) increases medical mixed realities'(MMR) clinical usability. Medical instruments have …
Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution
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 …
makes them suboptimal for spatially sparse data. In this paper, we propose a CNN model …
[HTML][HTML] Deep learning-based framework for automatic cranial defect reconstruction and implant modeling
Abstract Background and Objective: This article presents a robust, fast, and fully automatic
method for personalized cranial defect reconstruction and implant modeling. Methods: We …
method for personalized cranial defect reconstruction and implant modeling. Methods: We …
High-resolution cranial defect reconstruction by iterative, low-resolution, point cloud completion transformers
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 …
personalized implants whose manual design is expensive and time-consuming. Therefore …
Back to the roots: Reconstructing large and complex cranial defects using an image-based statistical shape model
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 …
professional designers. Current efforts on automating the design process focused mainly on …
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 …
challenging. Hence, the 2021 AutoImplant II challenge, consisting of the SkullBreak and …
Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders
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 …
implants that need to be designed and manufactured before the reconstruction surgery. The …
Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation
The skull segmentation from CT scans can be seen as an already solved problem. However,
in MR this task has a significantly greater complexity due to the presence of soft tissues …
in MR this task has a significantly greater complexity due to the presence of soft tissues …