Minyoung Chung

Orcid: 0000-0001-7503-3307

According to our database1, Minyoung Chung authored at least 32 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Deformable medical image registration via multiview adversarial learning.
Biomed. Signal Process. Control., 2026

2025
SA-DETR: Saliency Attention-based DETR for salient object detection.
Pattern Anal. Appl., March, 2025

Multi-encoder self-adaptive hard attention network with maximum intensity projections for lung nodule segmentation.
Comput. Biol. Medicine, 2025

Feature-centric registration of large deformed images using transformers and correlation distance.
Comput. Biol. Medicine, 2025

Aorta Multi-class Segmentation via Anatomically Constrained Plane Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024
Point cloud registration with rotation-invariant and dissimilarity-based salient descriptor.
Multim. Tools Appl., September, 2024

Adversarial example denoising and detection based on the consistency between Fourier-transformed layers.
Neurocomputing, 2024

UC-Hybrid: Uncertainty-based contrastive learning on hybrid network for medical image segmentation.
Comput. Methods Programs Biomed., 2024

2023
Adversarial example detection by predicting adversarial noise in the frequency domain.
Multim. Tools Appl., July, 2023

Robust kernel-based feature representation for 3D point cloud analysis via circular convolutional network.
Comput. Vis. Image Underst., June, 2023

Automatic registration of dental CT and 3D scanned model using deep split jaw and surface curvature.
Comput. Methods Programs Biomed., May, 2023

Accurate depth image generation via overfit training of point cloud registration using local frame sets.
Comput. Vis. Image Underst., 2023

3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge.
CoRR, 2023

2022
Tooth instance segmentation from cone-beam CT images through point-based detection and Gaussian disentanglement.
Multim. Tools Appl., 2022

Cephalometric landmark detection via global and local encoders and patch-wise attentions.
Neurocomputing, 2022

Accurate Ground-Truth Depth Image Generation via Overfit Training of Point Cloud Registration using Local Frame Sets.
CoRR, 2022

Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation.
Comput. Methods Programs Biomed., 2022

Cardiac segmentation on CT Images through shape-aware contour attentions.
Comput. Biol. Medicine, 2022

Voxel-wise adversarial semi-supervised learning for medical image segmentation.
Comput. Biol. Medicine, 2022

A Deep Learning Approach to the Artwork of Art Museums Utilizing Instagram Hashtags.
Proceedings of the HCI International 2022 - Late Breaking Posters, 2022

2021
Multiple weld seam extraction from RGB-depth images for automatic robotic welding via point cloud registration.
Multim. Tools Appl., 2021

Liver segmentation in abdominal CT images via auto-context neural network and self-supervised contour attention.
Artif. Intell. Medicine, 2021

Individual tooth detection and identification from dental panoramic X-ray images via point-wise localization and distance regularization.
Artif. Intell. Medicine, 2021

2020
Automatic Registration Between Dental Cone-Beam CT and Scanned Surface via Deep Pose Regression Neural Networks and Clustered Similarities.
IEEE Trans. Medical Imaging, 2020

Geometric robust descriptor for 3D point cloud.
CoRR, 2020

Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention.
CoRR, 2020

Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation.
CoRR, 2020

Deeply self-supervised contour embedded neural network applied to liver segmentation.
Comput. Methods Programs Biomed., 2020

Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation.
Comput. Biol. Medicine, 2020

2019
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities.
CoRR, 2019

2018
Deeply Self-Supervising Edge-to-Contour Neural Network Applied to Liver Segmentation.
CoRR, 2018

Accurate liver vessel segmentation via active contour model with dense vessel candidates.
Comput. Methods Programs Biomed., 2018


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