| Deep learning methods for lung cancer segmentation in whole-slide histopathology images—the acdc@ lunghp challenge 2019 Z Li, J Zhang, T Tan, X Teng, X Sun, H Zhao, L Liu, Y Xiao, B Lee, Y Li, ... IEEE Journal of Biomedical and Health Informatics 25 (2), 429-440, 2020 | 118 | 2020 |
| Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using … JH Song, Y Hong, ER Kim, SH Kim, I Sohn Journal of Gastroenterology 57 (9), 654-666, 2022 | 35 | 2022 |
| SHREC'17: Deformable shape retrieval with missing parts E Rodolà, L Cosmo, O Litany, MM Bronstein, AM Bronstein, N Audebert, ... Eurographics Workshop on 3D Object Retrieval, 2017 | 32 | 2017 |
| Art Painting Identification using Convolutional Neural Network Y Hong, J Kim International Journal of Applied Engineering Research 12 (4), 2017 | 27 | 2017 |
| HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin–Eosin Whole-Slide Imaging E Conde-Sousa, J Vale, M Feng, K Xu, Y Wang, V Della Mea, ... Journal of Imaging 8 (8), 213, 2022 | 23 | 2022 |
| Deep learning method for comet segmentation and comet assay image analysis Y Hong, HJ Han, H Lee, D Lee, J Ko, Z Hong, JY Lee, JH Seok, HS Lim, ... Scientific Reports 10 (1), 18915, 2020 | 23 | 2020 |
| Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor–stroma ratio Y Hong, YJ Heo, B Kim, D Lee, S Ahn, SY Ha, I Sohn, KM Kim Scientific Reports 11, 2021 | 21 | 2021 |
| CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ... Medical image analysis 92, 103047, 2024 | 18 | 2024 |
| Art painting detection and identification based on deep learning and image local features Y Hong, J Kim Multimedia Tools and Applications 78, 6513-6528, 2019 | 18 | 2019 |
| A-Prot: protein structure modeling using MSA transformer Y Hong, J Lee, J Ko BMC Bioinformatics 23 (93), 2022 | 13 | 2022 |
| S‑Pred: protein structural property prediction using MSA transformer Y Hong, J Song, J Ko, J Lee, WH Shin Scientific Reports 12, 2022 | 8 | 2022 |
| Autocorrelation modulation-based audio blind watermarking robust against high efficiency advanced audio coding Y Hong, J Kim Applied Sciences 9 (14), 2780, 2019 | 8 | 2019 |
| Retrieval of non-rigid 3D models based on approximated topological structure and local volume Y Hong, J Kim KSII Transactions on Internet and Information Systems (TIIS) 11 (8), 3950-3964, 2017 | 7 | 2017 |
| A 2d-view depth image-and cnn-based 3d model identification method Y Hong, J Kim Applied Sciences 7 (10), 988, 2017 | 5 | 2017 |
| Audio Blind Watermarking Robust Against HE-AAC D Shin, Y Hong, J Kim, J Choi Proceedings of the 8th International Conference on Signal Processing Systems …, 2016 | 3 | 2016 |
| 3D Mesh Model Exterior Salient Part Segmentation Using Prominent Feature Points and Marching Plane Y Hong, J Kim KSII Transactions on Internet and Information Systems (TIIS) 13 (3), 1418-1433, 2019 | 1 | 2019 |
| Non-Rigid 3D Model Retrieval Based on Topological Structure and Shape Diameter Function Y Hong, J Kim Proc. of ADVCOMP 2016: The Tenth International Conference on Advanced …, 2016 | 1 | 2016 |
| 3D Mesh Model Segmentation Using Marching Plane Y Hong, J Kim Proc. of the 4th International Conference on Digital Contents and …, 2015 | 1 | 2015 |
| Prediction of Lymph Node Metastasis in T1 Colorectal Cancer Using Artificial Intelligence with Hematoxylin and Eosin-Stained Whole-Slide-Images of Endoscopic and Surgical … SHKKTJ Joo Hye Song, Eun Ran Kim*, Yiyu Hong* , Insuk Sohn , Soomin Ahn Cancers, 2024 | | 2024 |
| Class-Controlling Copy-Paste Augmentation for Nuclear Segmentation H Ahn, Y Hong, KM Kim 2022 IEEE International Symposium on Biomedical Imaging Challenges, 2022 | | 2022 |
