Thirty years of geometric morphometrics: Achievements, challenges, and the ongoing quest for biological meaningfulness
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 …
continually been refined and extended. What has remained as a central thrust and source of …
Accuracy and reliability of automatic three-dimensional cephalometric landmarking
G Dot, F Rafflenbeul, M Arbotto, L Gajny… - International Journal of …, 2020 - Elsevier
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 …
landmarking for cephalometric analysis of three-dimensional craniofacial images. We …
Web-based fully automated cephalometric analysis by deep learning
Abstract Background and Objective An accurate lateral cephalometric analysis is vital in
orthodontic diagnosis. Identification of anatomic landmarks on lateral cephalograms is …
orthodontic diagnosis. Identification of anatomic landmarks on lateral cephalograms is …
Accuracy of automated identification of lateral cephalometric landmarks using cascade convolutional neural networks on lateral cephalograms from nationwide multi …
J Kim, I Kim, YJ Kim, M Kim, JH Cho… - Orthodontics & …, 2021 - Wiley Online Library
Objective To investigate the accuracy of automated identification of cephalometric
landmarks using the cascade convolutional neural networks (CNN) on lateral cephalograms …
landmarks using the cascade convolutional neural networks (CNN) on lateral cephalograms …
Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning
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 …
often complicated by the scarcity of available data. Recent studies have proposed to take …
Automatic analysis of lateral cephalograms based on multiresolution decision tree regression voting
Cephalometric analysis is a standard tool for assessment and prediction of craniofacial
growth, orthodontic diagnosis, and oral‐maxillofacial treatment planning. The aim of this …
growth, orthodontic diagnosis, and oral‐maxillofacial treatment planning. The aim of this …
[HTML][HTML] Artificial intelligence in paleontology
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 …
emergence of data-driven paleontological studies, which reveal an unprecedented picture of …
Deep learning approaches to landmark detection in tsetse wing images
Morphometric analysis of wings has been suggested for identifying and controlling isolated
populations of tsetse (Glossina spp), vectors of human and animal trypanosomiasis in Africa …
populations of tsetse (Glossina spp), vectors of human and animal trypanosomiasis in Africa …
Three-dimensional human head reconstruction using smartphone-based close-range video photogrammetry
Creation of head 3D models from videos or pictures of the head by using close-range
photogrammetry techniques has many applications in clinical, commercial, industrial, artistic …
photogrammetry techniques has many applications in clinical, commercial, industrial, artistic …
On imaging modalities for cephalometric analysis: a review
A Gupta - Multimedia Tools and Applications, 2023 - Springer
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 …
been extensively used to study variation in human face and craniofacial growth …