mlsanityData to 14 Oct 2026

Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data

arXiv 1912.03681 ↗First posted 8 Dec 2019cs.CVcited by 53

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Abstract (arXiv)

CNN-based volumetric methods that label individual voxels now dominate the field of biomedical segmentation. However, 3D surface representations are often required for proper analysis. They can be obtained by post-processing the labeled volumes which typically introduces artifacts and prevents end-to-end training. In this paper, we therefore introduce a novel architecture that goes directly from 3D image volumes to 3D surfaces without post-processing and with better accuracy than current methods. We evaluate it on Electron Microscopy and MRI brain images as well as CT liver scans. We will show that it outperforms state-of-the-art segmentation methods.

Key facts. Cited by 53 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Dec 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 6; 2022: 13; 2023: 10; 2024: 7; 2025: 10; 2026: 7.

53 papers.

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  1. 2022ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Modelcited by 62
  2. 2022A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspectivecited by 56
  3. 2021A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstructioncited by 47
  4. 2022Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networkscited by 27
  5. 2021Deep Implicit Statistical Shape Models for 3D Medical Image Delineationcited by 26
  6. 2022Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysiscited by 25
  7. 2022CortexODE: Learning Cortical Surface Reconstruction by Neural ODEscited by 22
  8. 2021RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scanscited by 21
  9. 2022Learning Whole Heart Mesh Generation From Patient Images For Computational Simulationscited by 21
  10. 2023Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Networkcited by 21
  11. 2021Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Futurecited by 18
  12. 20234D Myocardium Reconstruction with Decoupled Motion and Shape Modelcited by 15
38 more
  1. 2021DeepMesh: Differentiable Iso-Surface Extractioncited by 14
  2. 2024Neural deformation fields for template-based reconstruction of cortical surfaces from MRIcited by 14
  3. 2022What's the Situation with Intelligent Mesh Generation: A Survey and Perspectivescited by 9
  4. 2023Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstructioncited by 7
  5. 2022CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy predictioncited by 6
  6. 2023Efficient Anatomical Labeling of Pulmonary Tree Structures via Deep Point-Graph Representation-based Implicit Fieldscited by 6
  7. 2025End-to-End 4D Heart Mesh Recovery Across Full-Stack and Sparse Cardiac MRIcited by 6
  8. 2022CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstructioncited by 5
  9. 2025DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Imagecited by 5
  10. 2023Abdominal organ segmentation via deep diffeomorphic mesh deformationscited by 4
  11. 2023Hybrid-CSR: Coupling Explicit and Implicit Shape Representation for Cortical Surface Reconstructioncited by 4
  12. 2023LinFlo-Net: A two-stage deep learning method to generate simulation ready meshes of the heartcited by 4
  13. 2025From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstructioncited by 4
  14. 2021Weakly Supervised Volumetric Image Segmentation with Deformed Templatescited by 3
  15. 2022Modeling and hexahedral meshing of cerebral arterial networks from centerlinescited by 3
  16. 2024Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Imagescited by 3
  17. 2022Review of Serial and Parallel Min-Cut/Max-Flow Algorithms for Computer Visioncited by 2
  18. 2023Pairwise-Constrained Implicit Functions for 3D Human Heart Modellingcited by 2
  19. 2024Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Modelscited by 2
  20. 2025AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flowscited by 2
  21. 2022Joint Reconstruction and Parcellation of Cortical Surfacescited by 1
  22. 2022Isomorphic mesh generation from point clouds with multilayer perceptronscited by 1
  23. 2023Spatial Correspondence between Graph Neural Network-Segmented Imagescited by 1
  24. 2024Image2Flow: A hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI datacited by 1
  25. 2024MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface Reconstructioncited by 1
  26. 2025Relational Anatomical Supervision for Accurate 3D Multi-Chamber Cardiac Mesh Reconstructioncited by 1
  27. 2025PrIntMesh: Precise Intersection Surfaces for 3D Organ Mesh Reconstructioncited by 1
  28. 2023Reconstruction of Cortical Surfaces with Spherical Topology from Infant Brain MRI via Recurrent Deformation Learningcited by 0
  29. 2024V2C-Long: Longitudinal Cortex Reconstruction with Spatiotemporal Correspondencecited by 0
  30. 2024Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modelingcited by 0
  31. 2025NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentationcited by 0
  32. 2025LV-Net: Anatomy-aware lateral ventricle shape modeling with a case study on Alzheimer's diseasecited by 0
  33. 2025End-to-End Learning of Multi-Organ Implicit Surfaces from 3D Medical Imaging Datacited by 0
  34. 2025FEAorta: A Fully Automated Framework for Finite Element Analysis of the Aorta From 3D CT Imagescited by 0
  35. 2026KidMesh: Computational Mesh Reconstruction for Pediatric Congenital Hydronephrosis Using Deep Neural Networkscited by 0
  36. 2026Curve Skeletonization in Continuous domain for Meshes and Point Cloudscited by 0
  37. 2026High-Fidelity 3D Geometric Reconstruction of Pelvic Organs from MRI: A Hybrid Deep Learning and Iterative Optimization Approachcited by 0
  38. 2026HeartVolMesh: Cardiac Volumetric Mesh Reconstruction via Covariance-Guided Graph Deformationcited by 0

50 most cited of 53 All 53 (JSON)