Research map: Unsupervised adaptive sampling graph autoencoder for 3D surface encoding and mesh representation transfer

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Papers in this map

  1. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification · Kaiming He · 2015 · 19023 citations · Cited by this paper
  2. Leveraging rotational equivariance for reinforcement learning in tractography · 2026 · Related
  3. A Comprehensive Survey on Graph Neural Networks · Zonghan Wu · 2020 · 10103 citations · Cited by this paper
  4. Reconstruction-informed and multidomain deep learning for generalizable CT-free attenuation correction in SPECT myocardial perfusion imaging · 2026 · Related
  5. Geometric Deep Learning: Going beyond Euclidean data · Michael M. Bronstein · 2017 · 3735 citations · Cited by this paper
  6. Embracing intra-class heterogeneity for semi-supervised medical image segmentation: From diversity to precision · 2026 · Related
  7. FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation · Yaoqing Lamar Yang · 2018 · 1382 citations · Cited by this paper
  8. PathFound: An agentic multimodal model activating evidence-seeking pathological diagnosis · 2026 · Related
  9. A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions · Chen Gao · 2023 · 738 citations · Cited by this paper
  10. Enhanced multimodal MRI classification of schizophrenia through cross-attention graph neural networks · 2026 · Related
  11. MeshCNN · Rana Hanocka · 2019 · 704 citations · Cited by this paper
  12. Leveraging modality-guided pre-training for dual-prompt-driven multi-cancer PET-CT segmentation · 2026 · Related
  13. Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks · Davood Karimi · 2019 · 649 citations · Cited by this paper
  14. Learning robust and task-invariant functional representation from fMRI through Siamese self-supervised learning · 2026 · Related
  15. Euclidean Distance Matrices: Essential theory, algorithms, and applications · Ivan Dokmanić · 2015 · 619 citations · Cited by this paper
  16. FAA-Net: Fetal abdominal anomaly diagnosis in prenatal ultrasound via LLM-enhanced multi-instance learning · 2026 · Related
  17. Generating 3D Faces Using Convolutional Mesh Autoencoders · Anurag Ranjan · 2018 · 591 citations · Cited by this paper
  18. MoMBS: Mixed-order sampling improves training on heterogeneous-quality data for universal lesion detection · 2026 · Related
  19. Autoencoders and their applications in machine learning: a survey · Kamal Berahmand · 2024 · 588 citations · Cited by this paper
  20. Variational Autoencoders for Deforming 3D Mesh Models · Qingyang Tan · 2018 · 213 citations · Cited by this paper
  21. Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications · Sai Munikoti · 2023 · 170 citations · Cited by this paper
  22. Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation · Giorgos Bouritsas · 2019 · 160 citations · Cited by this paper
  23. Personalized assessment of craniosynostosis via statistical shape modeling · Carlos S. Mendoza · 2014 · 113 citations · Cited by this paper
  24. Embedding Graph Auto-Encoder for Graph Clustering · Hongyuan Zhang · 2022 · 96 citations · Cited by this paper
  25. Quantification of Head Shape from Three-Dimensional Photography for Presurgical and Postsurgical Evaluation of Craniosynostosis · Antonio R. Porras · 2019 · 62 citations · Cited by this paper
  26. HGATE: Heterogeneous Graph Attention Auto-Encoders · Wei Wang · 2021 · 57 citations · Cited by this paper
  27. Learning Delaunay Surface Elements for Mesh Reconstruction · Marie‐Julie Rakotosaona · 2021 · 55 citations · Cited by this paper
  28. MedmeshCNN - Enabling meshcnn for medical surface models · Lisa Schneider · 2021 · 44 citations · Cited by this paper
  29. Multi-view representation model based on graph autoencoder · Jingci Li · 2023 · 44 citations · Cited by this paper
  30. Interpretable cardiac anatomy modeling using variational mesh autoencoders · Marcel Beetz · 2022 · 33 citations · Cited by this paper
  31. Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry · Connor Elkhill · 2023 · 22 citations · Cited by this paper
  32. Data-driven Normative Reference of Pediatric Cranial Bone Development · Jiawei Liu · 2022 · 20 citations · Cited by this paper
  33. A review on organ deformation modeling approaches for reliable surgical navigation using augmented reality · Zheng Han · 2024 · 19 citations · Cited by this paper
  34. Procrustes Analysis with Deformations: A Closed-Form Solution by Eigenvalue Decomposition · Fang Bai · 2022 · 10 citations · Cited by this paper
  35. Demystifying Oversmoothing in Attention-Based Graph Neural Networks · Xinyi Wu · 2023 · 10 citations · Cited by this paper
  36. MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders · Zhangsihao Yang · 2024 · 5 citations · Cited by this paper
  37. An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation · Soodeh Kalaie · 2025 · 4 citations · Cited by this paper
  38. 3D Photogrammetry-Driven Craniofacial Analysis in Orthodontics: A Scoping Review of Recent Applications · Pui Ki Hung · 2025 · 4 citations · Cited by this paper
  39. Preventing self-intersection with cycle regularization in neural networks for mesh reconstruction from a single RGB image · Siyu Hu · 2019 · 3 citations · Cited by this paper

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