Zobrazeno 1 - 10
of 340
pro vyhledávání: '"Jin-Keun Seo"'
Publikováno v:
IEEE Access, Vol 12, Pp 101289-101298 (2024)
This paper presents a fully automatic registration method of dental cone-beam computed tomography (CBCT) and face scan data. Difficulties in accurately merging facial scans and CBCT images arise from the different image acquisition methods and limite
Externí odkaz:
https://doaj.org/article/24b55234d4574ae59790bab8d916c38c
This is the first book that presents a comprehensive introduction to and overview of electro-magnetic tissue property imaging techniques using MRI, focusing on Magnetic Resonance Electrical Impedance Tomography (MREIT), Electrical Properties Tomograp
Publikováno v:
IEEE Access, Vol 10, Pp 26140-26148 (2022)
Cone-beam computed tomography (CBCT) is widely used in dental and maxillofacial imaging applications. However, CBCT suffers from shading artifacts owing to several factors, including photon scattering and data truncation. This paper presents a deep-l
Externí odkaz:
https://doaj.org/article/1401c0406f734e39af1c7cb28f25a00e
Publikováno v:
IEEE Access, Vol 9, Pp 108223-108235 (2021)
This study presents an automatic method for estimating antenatal amniotic fluid (AF) volume from two-dimensional ultrasound (US) images, which is an important indicator of fetal well-being. This automatic estimation of AF volume (AFV) requires automa
Externí odkaz:
https://doaj.org/article/408424e2ed5d4910a53004fbaeb73123
Publikováno v:
PLoS ONE, Vol 17, Iss 9, p e0275114 (2022)
Identification of 3D cephalometric landmarks that serve as proxy to the shape of human skull is the fundamental step in cephalometric analysis. Since manual landmarking from 3D computed tomography (CT) images is a cumbersome task even for the trained
Externí odkaz:
https://doaj.org/article/973152a6b110486b95f6684ca5f64fc9
Publikováno v:
IEEE Access, Vol 8, Pp 84618-84630 (2020)
In this paper, an automated and visually explainable system is proposed for a scoliosis assessment from spinal radiographs, which deals with the drawback of manual measurements, which are known to be time-consuming, cumbersome, and operator dependent
Externí odkaz:
https://doaj.org/article/b553e681366149809a750704d9916958
Publikováno v:
IEEE Access, Vol 8, Pp 225981-225994 (2020)
This article presents a two-stage method for beam hardening artifact correction of dental cone beam computerized tomography (CBCT). The proposed artifact reduction method is designed to improve the quality of maxillofacial imaging, where soft tissue
Externí odkaz:
https://doaj.org/article/8888fe366adf444b9dbaa9e34cb80584
Publikováno v:
IEEE Access, Vol 7, Pp 128828-128836 (2019)
This paper proposes a direct sinogram correction method that does not require metal segmentation and prior knowledge to reduce metal-related artifacts in polychromatic computerized tomography (CT). The metal-related artifacts, being common in dental
Externí odkaz:
https://doaj.org/article/14ad4aec80cc40ab86dd194d6de1aa8f
Publikováno v:
IEEE Access, Vol 7, Pp 110414-110425 (2019)
This paper proposes a deep learning-based denoising method for noisy low-dose computerized tomography (CT) images in the absence of paired training data. The proposed method uses a fidelity-embedded generative adversarial network (GAN) to learn a den
Externí odkaz:
https://doaj.org/article/272324adc0204116a68b66772a3fee36
Publikováno v:
Sensors, Vol 15, Iss 5, Pp 10909-10922 (2015)
A defect sensing method based on electrical impedance spectroscopy is proposed to image cracks and reinforcing bars in concrete structures. The method utilizes the frequency-dependent behavior of thin insulating cracks: low-frequency electrical curre
Externí odkaz:
https://doaj.org/article/d83a6cfa23554a2a8795c27b597c1065