2 citations · 3 across the 2 of their papers we have counts for
5 papers
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…
Automated 3D cephalometric landmark identification using computerized tomography
Hye Sun Yun, Chang Min Hyun, Seong Hyeon Baek +2
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 com…
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…
Framelet Pooling Aided Deep Learning Network : The Method to Process High Dimensional Medical Data
Chang Min Hyun, Kang Cheol Kim, Hyun Cheol Cho +2
Machine learning-based analysis of medical images often faces several hurdles, such as the lack of training data, the curse of dimensionality problem, and the generalization issues…