activity
20182023
most citedPose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation

99 citations · 197 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 10 cited

3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge

Achraf Ben-Hamadou, Oussama Smaoui, Ahmed Rekik +29

Teeth localization, segmentation, and labeling from intra-oral 3D scans are essential tasks in modern dentistry to enhance dental diagnostics, treatment planning, and population-ba…

cs.CV2021

Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement

Jusang Lee, Minyoung Chung, Minkyung Lee +1

Individual tooth segmentation and identification from cone-beam computed tomography images are preoperative prerequisites for orthodontic treatments. Instance segmentation methods…

cs.CV2020★ 55 cited

Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization

Minyoung Chung, Jusang Lee, Sanguk Park +4

Dental panoramic X-ray imaging is a popular diagnostic method owing to its very small dose of radiation. For an automated computer-aided diagnosis system in dental clinics, automat…

cs.CV2020★ 99 cited

Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation

Minyoung Chung, Minkyung Lee, Jioh Hong +5

Individual tooth segmentation from cone beam computed tomography (CBCT) images is an essential prerequisite for an anatomical understanding of orthodontic structures in several app…

cs.CV2018★ 33 cited

Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation

Minyoung Chung, Jingyu Lee, Minkyung Lee +2

Objective: Herein, a neural network-based liver segmentation algorithm is proposed, and its performance was evaluated using abdominal computed tomography (CT) images. Methods: A fu…