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 …
A systematic collection of medical image datasets for deep learning
The astounding success made by artificial intelligence in healthcare and other fields proves
that it can achieve human-like performance. However, success always comes with …
that it can achieve human-like performance. However, success always comes with …
MedShapeNet--A large-scale dataset of 3D medical shapes for computer vision
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 …
vessels) and 3D surgical instrument models. Prior to the deep learning era, the broad …
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 …
Deep generative networks for heterogeneous augmentation of cranial defects
K Kwarciak, M Wodziński - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
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 …
become a hot topic in terms of process automation with the use of deep learning techniques …
[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 …
Studierfenster: an open science cloud-based medical imaging analysis platform
Imaging modalities such as computed tomography (CT) and magnetic resonance imaging
(MRI) are widely used in diagnostics, clinical studies, and treatment planning. Automatic …
(MRI) are widely used in diagnostics, clinical studies, and treatment planning. Automatic …
[HTML][HTML] MUG500+: Database of 500 high-resolution healthy human skulls and 29 craniotomy skulls and implants
In this article, we present a skull database containing 500 healthy skulls segmented from
high-resolution head computed-tomography (CT) scans and 29 defective skulls segmented …
high-resolution head computed-tomography (CT) scans and 29 defective skulls segmented …
Deep learning for cranioplasty in clinical practice: Going from synthetic to real patient data
Correct virtual reconstruction of a defective skull is a prerequisite for successful cranioplasty
and its automatization has the potential for accelerating and standardizing the clinical …
and its automatization has the potential for accelerating and standardizing the clinical …
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 …