The foundations of geometric morphometrics were worked out about 30 years ago and have
continually been refined and extended. What has remained as a central thrust and source of …

The accumulation of large datasets and increasing data availability have led to the
emergence of data-driven paleontological studies, which reveal an unprecedented picture of …

Abstract Background and Objective An accurate lateral cephalometric analysis is vital in
orthodontic diagnosis. Identification of anatomic landmarks on lateral cephalograms is …

The booming development of artificial intelligence (AI) has brought excitement to many
research fields that could benefit from its big data analysis capability for causative …

Objective To investigate the accuracy of automated identification of cephalometric
landmarks using the cascade convolutional neural networks (CNN) on lateral cephalograms …

The aim of this systematic review was to assess the accuracy and reliability of automatic
landmarking for cephalometric analysis of three-dimensional craniofacial images. We …

River-level estimation is a critical task required for the understanding of flood events and is
often complicated by the scarcity of available data. Recent studies have proposed to take …

Cephalometric analysis is a standard tool for assessment and prediction of craniofacial
growth, orthodontic diagnosis, and oral‐maxillofacial treatment planning. The aim of this …

Morphometrics has become an indispensable component of the statistical analysis of size
and shape variation in biological structures. Morphometric data have traditionally been …

Cephalometrics is an integral part of orthodontic diagnosis and treatment planning. It has
been extensively used to study variation in human face and craniofacial growth …