Game theory for networks: A tutorial on game-theoretic tools for emerging signal processing applications
The aim of this tutorial is to provide an overview, although necessarily incomplete, of game
theory (GT) for signal processing (SP) in networks. One of the main features of this …
theory (GT) for signal processing (SP) in networks. One of the main features of this …
[HTML][HTML] Integrating spatial configuration into heatmap regression based CNNs for landmark localization
In many medical image analysis applications, only a limited amount of training data is
available due to the costs of image acquisition and the large manual annotation effort …
available due to the costs of image acquisition and the large manual annotation effort …
Segmentation of organs‐at‐risks in head and neck CT images using convolutional neural networks
B Ibragimov, L ** computerized dental X-ray image …
Artificial Intelligence for radiographic image analysis
Automated identification of landmarks on lateral cephalogram and cone-beam computed
tomography (CBCT) scans can save time for the clinicians and act as a second set of eyes …
tomography (CBCT) scans can save time for the clinicians and act as a second set of eyes …
Cascaded convolutional networks for automatic cephalometric landmark detection
M Zeng, Z Yan, S Liu, Y Zhou, L Qiu - Medical Image Analysis, 2021 - Elsevier
Cephalometric analysis is a fundamental examination which is widely used in orthodontic
diagnosis and treatment planning. Its key step is to detect the anatomical landmarks in …
diagnosis and treatment planning. Its key step is to detect the anatomical landmarks in …
Evaluation and comparison of anatomical landmark detection methods for cephalometric x-ray images: a grand challenge
Cephalometric analysis is an essential clinical and research tool in orthodontics for the
orthodontic analysis and treatment planning. This paper presents the evaluation of the …
orthodontic analysis and treatment planning. This paper presents the evaluation of the …
Shape representation for efficient landmark-based segmentation in 3-D
B Ibragimov, B Likar, F Pernuš… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
In this paper, we propose a novel approach to landmark-based shape representation that is
based on transportation theory, where landmarks are considered as sources and …
based on transportation theory, where landmarks are considered as sources and …