Audio Blind Watermarking Robust Against HE-AAC. - Donghwan Shin 002; Yiyu Hong; Jongweon Kim; Jonguk Choi (ICSPS, 2016)

Retrieval of Non-rigid 3D Models Based on Approximated Topological Structure and Local Volume. - Yiyu Hong; Jongweon Kim (KSII Trans. Internet Inf. Syst., 2017)

3D Mesh Model Exterior Salient Part Segmentation Using Prominent Feature Points and Marching Plane. - Yiyu Hong; Jongweon Kim (KSII Trans. Internet Inf. Syst., 2019)

Art painting detection and identification based on deep learning and image local features. - Yiyu Hong; Jongweon Kim (Multim. Tools Appl., 2019)

Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019. - Zhang Li; Jiehua Zhang; Tao Tan 002; Xichao Teng; Xiaoliang Sun; Yang Li 058; Lihong Liu; Yang Xiao; Byungjae Lee; Yilong Li; Qianni Zhang; Shujiao Sun; et al. (CoRR, 2020)

HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization. - Eduardo Conde-Sousa; João Vale; Ming Feng; Kele Xu; Yin Wang; Vincenzo Della Mea; David La Barbera; Ehsan Montahaei; Mahdieh Soleymani Baghshah; Andreas Turzynski; Jacob Gildenblat; Eldad Klaiman; et al. (CoRR, 2021)

Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019. - Zhang Li; Jiehua Zhang; Tao Tan 002; Xichao Teng; Xiaoliang Sun; Hong Zhao; Lihong Liu; Yang Xiao; Byungjae Lee; Yilong Li; Qianni Zhang; Shujiao Sun; et al. (IEEE J. Biomed. Health Informatics, 2021)

A-Prot: protein structure modeling using MSA transformer. - Yiyu Hong; Juyong Lee; Junsu Ko (BMC Bioinform., 2022)

HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin-Eosin Whole-Slide Imaging. - Eduardo Conde-Sousa; João Vale; Ming Feng; Kele Xu; Yin Wang; Vincenzo Della Mea; David La Barbera; Ehsan Montahaei; Mahdieh Soleymani Baghshah; Andreas Turzynski; Jacob Gildenblat; Eldad Klaiman; et al. (J. Imaging, 2022)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (Medical Image Anal., 2024)

Accurate prediction of protein-ligand interactions by combining physical energy functions and graph-neural networks. - Yiyu Hong; Junsu Ha; Jaemin Sim; Chae Jo Lim; Kwang-Seok Oh; Ramakrishnan Chandrasekaran; Bomin Kim; Jieun Choi; Junsu Ko; Woong-Hee Shin; Juyong Lee (J. Cheminformatics, 2024)