FST-Net: Facial Soft Tissue Landmark Localization on 3dMD Scans Using Feature Fusion and Local Coordinate Regression-Reference-Cited by-同舟云学术

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FST-Net: Facial Soft Tissue Landmark Localization on 3dMD Scans Using Feature Fusion and Local Coordinate Regression

Published:2024-05-27 Issue: Volume:30 Page:1-5
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Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

He Zhidong¹,Bao Han²,Chen Mingzhang¹,Wu Jiasong¹,Liu Luwei²,Senhadji Lotfi³,Shu Huazhong¹,Yan Bin²

Affiliation:

1. Southeast University,Laboratory of Image Science and Technology,Nanjing,China,210096

2. The Affiliated Stomatological Hospital of Nanjing Medical University,Department of Orthodontics,Nanjing,China,210029

3. Centre de Recherche en Information Biomédicale Sino-Français,Rennes,France,35000

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635114.pdf?arnumber=10635114

Reference11 articles.

1. Graph Convolutional Network with Probabilistic Spatial Regression: Application to Craniofacial Landmark Detection from 3D Photogrammetry

2. A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm

3. Data-Driven Research on the Matching Degree of Eyes, Eyebrows and Face Shapes

4. CMF-Net: craniomaxillofacial landmark localization on CBCT images using geometric constraint and transformer

5. DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models

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