activity
20182026
most citedAutomatic Three-Dimensional Cephalometric Annotation System Using Three-Dimensional Convolutional Neural Networks

31 citations · 43 across the 8 of their papers we have counts for

collaborators

8 papers

eess.IV2026

MGMAR: Metal-Guided Metal Artifact Reduction for X-ray Computed Tomography

Hyoung Suk Park, Kiwan Jeon

An X-ray computed tomography (CT), metal artifact reduction (MAR) remains a major challenge because metallic implants violate standard CT forward-model assumptions, producing sever…

cs.CV2026

ReCo-Diff: Residual-Conditioned Deterministic Sampling for Cold Diffusion in Sparse-View CT

Yong Eun Choi, Hyoung Suk Park, Kiwan Jeon +2

Cold and generalized diffusion models have recently shown strong potential for sparse-view CT reconstruction by explicitly modeling deterministic degradation processes. However, ex…

cs.CV2025

An Iterative Reconstruction Method for Dental Cone-Beam Computed Tomography with a Truncated Field of View

Hyoung Suk Park, Kiwan Jeon

In dental cone-beam computed tomography (CBCT), compact and cost-effective system designs often use small detectors, resulting in a truncated field of view (FOV) that does not full…

eess.IV2025★ 1 cited

Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV

Hyoung Suk Park, Kiwan Jeon

Implicit neural representation (INR), particularly in combination with hash encoding, has recently emerged as a promising approach for computed tomography (CT) image reconstruction…

cs.CV2023★ 1 cited

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…

eess.IV2023★ 1 cited

A robust multi-domain network for short-scanning amyloid PET reconstruction

Hyoung Suk Park, Young Jin Jeong, Kiwan Jeon

This paper presents a robust multi-domain network designed to restore low-quality amyloid PET images acquired in a short period of time. The proposed method is trained on pairs of…

cs.CV2023★ 9 cited

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…

cs.CV2018★ 31 cited

Automatic Three-Dimensional Cephalometric Annotation System Using Three-Dimensional Convolutional Neural Networks

Sung Ho Kang, Kiwan Jeon, Hak-Jin Kim +2

Background: Three-dimensional (3D) cephalometric analysis using computerized tomography data has been rapidly adopted for dysmorphosis and anthropometry. Several different approach…