| Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation M Chung, M Lee, J Hong, S Park, J Lee, J Lee, IH Yang, J Lee, YG Shin Computers in biology and medicine 120, 103720, 2020 | 71 | 2020 |
| Individual tooth detection and identification from dental panoramic x-ray images via point-wise localization and distance regularization M Chung, J Lee, S Park, M Lee, CE Lee, J Lee, YG Shin Artificial Intelligence in Medicine 111, 101996, 2021 | 46 | 2021 |
| Automatic Registration between Dental Cone-Beam CT and Scanned Surface via Deep Pose Regression Neural Networks and Clustered Similarities M Chung, J Lee, W Song, Y Song, IH Yang, J Lee, YG Shin IEEE Transactions on Medical Imaging 39 (12), 3900-3909, 2020 | 32 | 2020 |
| Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention M Chung, J Lee, S Park, CE Lee, J Lee, YG Shin Artificial Intelligence in Medicine, 102023, 2021 | 31 | 2021 |
| Deeply self-supervised contour embedded neural network applied to liver segmentation M Chung, J Lee, M Lee, J Lee, YG Shin Computer methods and programs in biomedicine 192, 105447, 2020 | 30 | 2020 |
| Accurate liver vessel segmentation via active contour model with dense vessel candidates M Chung, J Lee, JW Chung, YG Shin Computer Methods and Programs in Biomedicine 166, 61-75, 2018 | 26 | 2018 |
| Multiple weld seam extraction from RGB-depth images for automatic robotic welding via point cloud registration J Kim, J Lee, M Chung, YG Shin Multimedia Tools and Applications, 1-17, 2020 | 25 | 2020 |
| Cephalometric landmark detection via global and local encoders and patch-wise attentions M Lee, M Chung, YG Shin Neurocomputing 470, 182-189, 2022 | 15 | 2022 |
| Tooth instance segmentation from cone-beam CT images through point-based detection and Gaussian disentanglement J Lee, M Chung, M Lee, YG Shin Multimedia Tools and Applications, 1-16, 2022 | 14 | 2022 |
| Cardiac segmentation on ct images through shape-aware contour attentions S Park, M Chung Computers in Biology and Medicine 147, 105782, 2022 | 12 | 2022 |
| Voxel-wise adversarial semi-supervised learning for medical image segmentation CE Lee, H Park, YG Shin, M Chung Computers in Biology and Medicine 150, 106152, 2022 | 7 | 2022 |
| 3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge A Ben-Hamadou, O Smaoui, A Rekik, S Pujades, E Boyer, H Lim, M Kim, ... arXiv preprint arXiv:2305.18277, 2023 | 6 | 2023 |
| Automatic registration of dental CT and 3D scanned model using deep split jaw and surface curvature M Kim, M Chung, YG Shin, B Kim Computer Methods and Programs in Biomedicine 233, 107467, 2023 | 6 | 2023 |
| Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation CE Lee, M Chung, YG Shin Computer Methods and Programs in Biomedicine 213, 106547, 2022 | 6 | 2022 |
| Robust kernel-based feature representation for 3D point cloud analysis via circular convolutional network S Jung, YG Shin, M Chung Computer Vision and Image Understanding 231, 103678, 2023 | 3* | 2023 |
| Adversarial example detection by predicting adversarial noise in the frequency domain S Jung, M Chung, YG Shin Multimedia Tools and Applications 82 (16), 25235-25251, 2023 | 2 | 2023 |
| Accurate depth image generation via overfit training of point cloud registration using local frame sets J Kim, M Kim, YG Shin, M Chung Computer Vision and Image Understanding 226, 103588, 2023 | 2* | 2023 |
| Point cloud registration with rotation-invariant and dissimilarity-based salient descriptor S Jung, YG Shin, M Chung Multimedia Tools and Applications, 1-22, 2024 | | 2024 |
| Monocular Depth Estimation of Indoor Environments Using Enhanced Rgb-D Dataset J Kim, YG Shin, M Chung Available at SSRN 4172041, 0 | | |
