Won-Jin Yi

Seoul National University of Science and Technology — South Korea

Dentistry · Health Sciences

28h-index2.9kcitations190works2.22yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Dental Radiography and Imaging(88), Advanced X-ray and CT Imaging(27), Dental Implant Techniques and Outcomes(26), Orthodontics and Dentofacial Orthopedics(25), Oral and Maxillofacial Pathology(25)

Publications190 total

Comparison of 2D, 2.5D, and 3D landmark localization networks for 3D cephalometry in CT images
BMC Oral Health·2025Open Access
A novel cross-attentive network for classifying cervical metastatic lymph nodes on B- and D-mode ultrasound images in oral squamous cell carcinoma
Dentomaxillofacial Radiology·2025
Skel-Net: automatic prediction of skeletal pattern on scanned lateral cephalograms using anatomical prior-guided deep learning network
BMC Oral Health·2025Open Access
Assessment of vertical magnification ratios in digital panoramic radiography using phantoms: evaluation of DICOM metadata and calibration consistency
Dentomaxillofacial Radiology·2025
Comparison of segmentation performance of cnns, vision transformers, and hybrid networks for paranasal sinuses with sinusitis on CT images
Scientific Reports·2025Open Access
Peritumoral bone changes in mandibular gingival squamous cell carcinoma: A prospective radiologic-histopathologic correlation study
Journal of Dental Sciences·2025Open Access
Diagnostic performance of quantitative parameters derived from twin-beam dual-energy CT for differentiating benign and malignant salivary gland tumors of the palate
Dentomaxillofacial Radiology·2025
MCVoxel2MeshNet: Voxel-To-Mesh Generation for Mandibular Canal Segmentation in CBCT
2025
DentalCLIP: Semi-Supervised Contrastive Learning for TMJ Osteoarthritis Diagnosis
2025
Dentaldiff: Diffusion Probabilistic Models for Tumors and Cysts Segmentation in Dental Panoramic Radiographs
2025
Comparison of 2D, 2.5D, and 3D segmentation networks for mandibular canals in CBCT images: a study on public and external datasets
BMC Oral Health·2025· 1 citedOpen Access
Bone mineral density and anatomic limitations of miniscrew placement at buccal interradicular sites: A quantitative computed tomography study
American Journal of Orthodontics and Dentofacial Orthopedics·2025
Classification and prognostic evaluation of ameloblastoma using multiplanar CT imaging: a retrospective analysis
BMC Oral Health·2025· 2 citedOpen Access
Popnet: A Point Offset Prediction Network for Topology-Preserving Hole-Filling in 3d Intraoral Scans
SSRN Electronic Journal·2025Open Access
Development of 10 principles of radiation protection in oral and maxillofacial radiology
Imaging Science in Dentistry·2025· 1 citedOpen Access
Automatic Reproduction of Natural Head Position in Orthognathic Surgery Using a Geometric Deep Learning Network
Diagnostics·2024Open Access
Can deep learning identify humans by automatically constructing a database with dental panoramic radiographs?
PLoS ONE·2024· 2 citedOpen Access
Comparison of 2D, 2.5D, and 3D segmentation networks for mandibular canals in CBCT images: A study on public and external datasets
2024· 1 citedOpen Access
A novel method for measuring the direction and angle of central ray and predicting rotation centre via panorama phantom
Dentomaxillofacial Radiology·2024Open Access
Comparative analysis of clinical image evaluation charts for panoramic radiography
Oral Radiology·2024· 1 citedOpen Access
page 1 of 10Next →

Frequent Co-authors

Min-Suk Heo(43), Kyung‐Hoe Huh(40), Sam-Sun Lee(38), Soon-Chul Choi(28), Jo‐Eun Kim(17), Se-Ryong Kang(8), Sang-Jeong Lee(6), Tae‐Il Kim(6), Sang-Yoon Woo(6), Soon Jung Hwang(6), Daeseung Kim(5), Hoon Joo Yang(5), Soon-Chul Choi(4), Sam-Sun Lee(4), Su Yang(4), Jun-Min Kim(4), Tae-Hoon Yong(3), Soon‐Jung Hwang(3), Seo‐Young An(2), Chang-Hyeon An(2)