166 citations · 207 across the 7 of their papers we have counts for
7 papers
NeRF Solves Undersampled MRI Reconstruction
Tae Jun Jang, Chang Min Hyun
This article presents a novel undersampled magnetic resonance imaging (MRI) technique that leverages the concept of Neural Radiance Field (NeRF). With radial undersampling, the cor…
Machine Learning-based Signal Quality Assessment for Cardiac Volume Monitoring in Electrical Impedance Tomography
Chang Min Hyun, Tae Jun Jang, Jeongchan Nam +3
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…
Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling
Chang Min Hyun, Taigyntuya Bayaraa, Hye Sun Yun +3
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…
Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification
Tae Jun Jang, Hye Sun Yun, Chang Min Hyun +3
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 weak…
A fully automated method for 3D individual tooth identification and segmentation in dental CBCT
Tae Jun Jang, Kang Cheol Kim, Hyun Cheol Cho +1
Accurate and automatic segmentation of three-dimensional (3D) individual teeth from cone-beam computerized tomography (CBCT) images is a challenging problem because of the difficul…
A two-stage approach for beam hardening artifact reduction in low-dose dental CBCT
T. Bayaraa, C. M. Hyun, T. J. Jang +2
This paper presents a two-stage method for beam hardening artifact correction of dental cone beam computerized tomography (CBCT). The proposed artifact reduction method is designed…
Automatic detection and segmentation of lumbar vertebra from X-ray images for compression fracture evaluation
Kang Cheol Kim, Hyun Cheol Cho, Tae Jun Jang +2
For compression fracture detection and evaluation, an automatic X-ray image segmentation technique that combines deep-learning and level-set methods is proposed. Automatic segmenta…