69 citations · 81 across the 4 of their papers we have counts for
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eess.IV2021★ 2 cited
Dense Representative Tooth Landmark/axis Detection Network on 3D Model
Guangshun Wei, Zhiming Cui, Jie Zhu +5
Artificial intelligence (AI) technology is increasingly used for digital orthodontics, but one of the challenges is to automatically and accurately detect tooth landmarks and axes.…
cs.CV2021
Context-aware virtual adversarial training for anatomically-plausible segmentation
Ping Wang, Jizong Peng, Marco Pedersoli +3
Despite their outstanding accuracy, semi-supervised segmentation methods based on deep neural networks can still yield predictions that are considered anatomically impossible by cl…