Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Jang, Tae Jun"'
Autor:
Jang, Tae Jun, Hyun, Chang Min
This article presents a novel undersampled magnetic resonance imaging (MRI) technique that leverages the concept of Neural Radiance Field (NeRF). With radial undersampling, the corresponding imaging problem can be reformulated into an image modeling
Externí odkaz:
http://arxiv.org/abs/2402.13226
Owing to recent advances in thoracic electrical impedance tomography, a patient's hemodynamic function can be noninvasively and continuously estimated in real-time by surveilling a cardiac volume signal associated with stroke volume and cardiac outpu
Externí odkaz:
http://arxiv.org/abs/2301.01469
Autor:
Hyun, Chang Min, Bayaraa, Taigyntuya, Yun, Hye Sun, Jang, Tae Jun, Park, Hyoung Suk, Seo, Jin Keun
Low-dose dental cone beam computed tomography (CBCT) has been increasingly used for maxillofacial modeling. However, the presence of metallic inserts, such as implants, crowns, and dental filling, causes severe streaking and shading artifacts in a CB
Externí odkaz:
http://arxiv.org/abs/2202.03571
We present a fully automated method of integrating intraoral scan (IOS) and dental cone-beam computerized tomography (CBCT) images into one image by complementing each image's weaknesses. Dental CBCT alone may not be able to delineate precise details
Externí odkaz:
http://arxiv.org/abs/2112.01784
Accurate and automatic segmentation of three-dimensional (3D) individual teeth from cone-beam computerized tomography (CBCT) images is a challenging problem because of the difficulty in separating an individual tooth from adjacent teeth and its surro
Externí odkaz:
http://arxiv.org/abs/2102.06060
Publikováno v:
In Medical Image Analysis April 2024 93
For compression fracture detection and evaluation, an automatic X-ray image segmentation technique that combines deep-learning and level-set methods is proposed. Automatic segmentation is much more difficult for X-ray images than for CT or MRI images
Externí odkaz:
http://arxiv.org/abs/1904.07624
Publikováno v:
In Computer Methods and Programs in Biomedicine March 2021 200
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