426 citations · 476 across the 8 of their papers we have counts for
9 papers
Neural Representation-Based Method for Metal-induced Artifact Reduction in Dental CBCT Imaging
Hyoung Suk Park, Kiwan Jeon, Jin Keun Seo
This study introduces a novel reconstruction method for dental cone-beam computed tomography (CBCT), focusing on effectively reducing metal-induced artifacts commonly encountered i…
Automatic 3D Registration of Dental CBCT and Face Scan Data using 2D Projection Images
Hyoung Suk Park, Chang Min Hyun, Sang-Hwy Lee +2
This paper presents a fully automatic registration method of dental cone-beam computed tomography (CBCT) and face scan data. It can be used for a digital platform of 3D jaw-teeth-f…
Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography
Hyoung Suk Park, Chang Min Hyun, Jin Keun Seo
This paper describes the mathematical structure of the ill-posed nonlinear inverse problem of low-dose dental cone-beam computed tomography (CBCT) and explains the advantages of 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 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…
Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging
Chang Min Hyun, Seong Hyeon Baek, Mingyu Lee +2
Recently, with the significant developments in deep learning techniques, solving underdetermined inverse problems has become one of the major concerns in the medical imaging domain…
Deep learning for undersampled MRI reconstruction
Chang Min Hyun, Hwa Pyung Kim, Sung Min Lee +2
This paper presents a deep learning method for faster magnetic resonance imaging (MRI) by reducing k-space data with sub-Nyquist sampling strategies and provides a rationale for wh…
Characterization of Metal Artifacts in X-ray Computed Tomography
Hyoung Suk Park, Jae Kyu Choi, Jin Keun Seo
Metal streak artifacts in X-ray computerized tomography (CT) are rigorously characterized here using the notion of the wavefront set from microlocal analysis. The metal artifacts a…