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Dense Correspondence of Cone-Beam Computed Tomography Images Using Oblique Clustering Forest.

, , , , , and . BMVC, page 228. BMVA Press, (2018)

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Consistent Correspondence of Cone-Beam CT Images Using Volume Functional Maps., , , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 801-809. Springer, (2018)Tooth Segmentation and Labeling from Digital Dental Casts., , , , , , and . ISBI, page 669-673. IEEE, (2020)Multi-scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial Base., , , , , , and . MLMI@MICCAI, volume 10541 of Lecture Notes in Computer Science, page 123-131. Springer, (2017)Fast 3D hand estimation for mobile interactions., and . ICPR, page 979-984. IEEE, (2016)Multi-view Human Head Detection in Static Images., , and . MVA, page 100-103. (2005)Temporal Consistent 2D-3D Registration of Lateral Cephalograms and Cone-Beam Computed Tomography Images., , , , , , and . MLMI@MICCAI, volume 11046 of Lecture Notes in Computer Science, page 371-379. Springer, (2018)Masseter Segmentation from Computed Tomography Using Feature-Enhanced Nested Residual Neural Network., , , , , and . MLMI@MICCAI, volume 11046 of Lecture Notes in Computer Science, page 355-362. Springer, (2018)Pixels Classification for Moving Object Extraction., , and . WACV/MOTION, page 44-49. IEEE Computer Society, (2005)Volumetric reconstruction of craniofacial structures from 2D lateral cephalograms by regression forest., , , , and . ICIP, page 4052-4056. IEEE, (2016)Masseter Muscle Segmentation from Cone-Beam CT Images using Generative Adversarial Network., , , , , , and . ISBI, page 1188-1192. IEEE, (2019)