An End-to-End Conditional Generative Adversarial Network Based on Depth Map for 3D Craniofacial Reconstruction is a research paper published in Proceedings of the 30th ACM International Conference on Multimedia (2022). On theSindex it has a DataRank of 0. It has been cited 14 times.
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NSF (National Science Foundation)
Grant: 2115095, 1762287
National Natural Science Foundation of China
Grant: 62172247, 61702293
National Natural Science Foundation of Shandong Province
Grant: ZR2019LZH002
National Statistical Science Research Project
Grant: 2020LY100
NIH (National Institutes of Health)
Grant: 92025, R01LM012434
National Science Foundation
Grant: 2115095
I-Corps: Developing A 3D Total Body Imaging and Analysis System for Early Detection of Skin Cancer
National Science Foundation
Grant: 1762287
Collaborative Research: Computational Framework for Designing Conformal Stretchable Electronics
National Institutes of Health
Grant: 1R01LM012434-01
Computer aided diagnosis of cancer metastases in the brain
FWCI
1.20
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords