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Segmentation-driven feature-preserving mesh denoising
Feature-preserving mesh denoising has received noticeable attention in visual media, with the aim of recovering high-fidelity, clean mesh shapes from...
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Deep Learning-Based Pulmonary Artery Surface Mesh Generation
Properties of the pulmonary artery play an essential role in the diagnosis and treatment planning of diseases such as pulmonary hypertension....
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3D Dental Mesh Segmentation Using Semantics-Based Feature Learning with Graph-Transformer
Accurate segmentation of digital 3D dental mesh plays a crucial role in various specialized applications within oral medicine. While certain deep...
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3D model representation using space curves: an efficient mesh simplification method by exchanging triangulated mesh to space curves
Simplification of Computer-Aided-Design models plays an important role in reducing the complex features of man-made objects produced according to...
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MeT: mesh transformer with an edge
Transformers have been widely applied in various vision tasks processing different data, such as images, videos and point clouds. However, the use of...
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Dense Mesh RCNN: assessment of human skin burn and burn depth severity
Accurate assessment and classification of burn severity have gained research interest in burn management, and delays in treatment increase the risk...
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A two-step surface-based 3D deep learning pipeline for segmentation of intracranial aneurysms
The exact shape of intracranial aneurysms is critical in medical diagnosis and surgical planning. While voxel-based deep learning frameworks have...
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Medial hex-meshing: high-quality all-hexahedral mesh generation based on medial mesh
Automatic high-quality all-hexahedral mesh generation is still a challenging problem in engineering applications. In this paper, based on the...
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Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models
Delineating and removing brackets on 3D dental models and then reconstructing the tooth surface can enable orthodontists to pre-make retainers for...
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Deep Learning-Based Segmentation and Mesh Reconstruction of the Aortic Vessel Tree from CTA Images
Segmentation of the Aortic Vessel Tree (AVT) in the Computed Tomography Angiography (CTA) images is pivotal for the diagnosis and monitoring of the...
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Consistent 3D human body segmentation based on combinatorial descriptor in spectral domain
Consistent 3D human body segmentation plays a vital role in many human-oriented applications. Recently research used supervised methods to achieve...
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Tooth Defect Segmentation in 3D Mesh Scans Using Deep Learning
Computer-aided systems are widely used in digital dentistry to help human experts for accurate and efficient diagnosis and treatment planning. In...
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Geometric Deep Learning Vascular Domain Segmentation
For rupture risk assessment of intracranial aneurysms, 3D surface model extraction might be time-consuming but supports calculation of morphological...
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Utility of Equivariant Message Passing in Cortical Mesh Segmentation
The automated segmentation of cortical areas has been a long-standing challenge in medical image analysis. The complex geometry of the cortex is...
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Zero watermarking scheme for 3D triangle mesh model based on global and local geometric features
Copyright infringement of 3D models has become an issue for 3D printing ecosystem. However, the existing 3D model copyright protecting technologies...
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3D mesh segmentation via L0-constrained random walks
3D mesh segmentation is a challenging problem in computer graphics, computer vision, and multimedia. In this paper, we cast mesh segmentation as a L 0 ...
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Challenges and Constraints in Deformation-Based Medical Mesh Representation
Mesh representation of medical imaging isosurfaces are essential for medical analysis. These representations are typically obtained using mesh...
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WalkFormer: 3D mesh analysis via transformer on random walk
A 3D mesh is a popular representation of 3D shapes. For mesh analysis tasks, one typical method is to map 3D mesh data into 1D sequence data with...
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Stereo Visual Mesh for Generating Sparse Semantic Maps at High Frame Rates
The Visual Mesh is an input transform for deep learning that allows depth independent object detection at very high frame rates. The present study...
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Boundary-Constrained Graph Network for Tooth Segmentation on 3D Dental Surfaces
Accurate tooth segmentation on 3D dental models is an important task in computer-aided dentistry. In recent years, several deep learning-based...