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Automatic Landmarking of Cephalograms by Cellular Neural Networks.

, , , , and . AIME, volume 3581 of Lecture Notes in Computer Science, page 333-342. Springer, (2005)

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Deep learning for automated skeletal bone age assessment in X-ray images., , , , and . Medical Image Anal., (2017)Cellular Neural Networks and Dynamic Enhancement for Cephalometric Landmarks Detection., , , and . ICAISC, volume 4029 of Lecture Notes in Computer Science, page 768-777. Springer, (2006)Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans., , , , , , , and . ICPR, page 9062-9067. IEEE, (2020)Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans., , , , , , , and . ICPR, page 9982-9987. IEEE, (2020)An Automatic System for Skeletal Bone Age Measurement by Robust Processing of Carpal and Epiphysial/Metaphysial Bones., , , and . IEEE Trans. Instrumentation and Measurement, 59 (10): 2539-2553 (2010)A learning tool for assessing skeletal bone age in radiology., , , and . CBMS, page 1-6. IEEE Computer Society, (2011)Automatic Landmarking of Cephalograms by Cellular Neural Networks., , , , and . AIME, volume 3581 of Lecture Notes in Computer Science, page 333-342. Springer, (2005)Automatic 3D segmentation of mandible for assessment of facial asymmetry., , , and . MeMeA, page 1-4. IEEE, (2012)