A restoration method for distorted image scanned from a bound book. - Hyung-Soo Ohk; Hyunseok Seo; KiMin Kang; Sang Ho Kim; Don-Chul Choi (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2011)

GStream: a graph streaming processing method for large-scale graphs on GPUs. - Hyunseok Seo; Jinwook Kim; Min-Soo Kim 002 (PPoPP, 2015)

GTS: A Fast and Scalable Graph Processing Method based on Streaming Topology to GPUs. - Min-Soo Kim 002; Kyuhyeon An; Himchan Park; Hyunseok Seo; Jinwook Kim (SIGMOD Conference, 2016)

Prediction of power consumption in the factory using long-short term memory. - Jangkyum Kim; Jun Kyun Choi; Youngjoo Heo; Hyunseok Seo; Jaeseob Han (ICTC, 2019)

Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications. - Hyunseok Seo; Masoud Badiei Khuzani; Varun Vasudevan; Charles W. Huang; Hongyi Ren; Ruoxiu Xiao; Xiao Jia 005; Lei Xing 001 (CoRR, 2019)

Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations. - Charles W. Huang; Masoud Badiei; Hyunseok Seo; Ming Ma; Xiaokun Liang; Dante Capaldi; Michael Gensheimer 001; Lei Xing 001 (CoRR, 2019)

Convolutional Network with Densely Backward Attention for Facial Expression Recognition. - Cam-Hao Hua; Thien Huynh-The; Hyunseok Seo; Sungyoung Lee 002 (IMCOM, 2020)

Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction. - Xiao Jia 005; Xiaochun Mai; Yi Cui 002; Yixuan Yuan; Xiaohan Xing; Hyunseok Seo; Lei Xing 001; Max Q.-H. Meng (IEEE Trans Autom. Sci. Eng., 2020)

Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images. - Hyunseok Seo; Charles W. Huang; Maxime Bassenne; Ruoxiu Xiao; Lei Xing 001 (IEEE Trans. Medical Imaging, 2020)

A Dual Domain Network For MRI Reconstruction Using Gabor Loss. - Hyunseok Seo; Kelly M. Shin; Yeunwoong Kyung (ICIP, 2021)

Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions. - Hyunseok Seo; Maxime Bassenne; Lei Xing 001 (IEEE Trans. Medical Imaging, 2021)

Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation. - Hyunseok Seo; Lequan Yu; Hongyi Ren; Xiaomeng Li 001; Liyue Shen; Lei Xing 001 (IEEE Trans. Medical Imaging, 2021)

A Bounding-Box Regression Model for Colorectal Tumor Detection in CT Images Via Two Contrary Networks. - YongSoo Kim; Seungbin Park; Hannah Kim 003; Seung-seob Kim; Joon Seok Lim; Sungwon Kim; Kihwan Choi; Hyunseok Seo (EMBC, 2022)

Spatial Feature Conservation Networks (SFCNs) for Dilated Convolutions to Improve Breast Cancer Segmentation from DCE-MRI. - Hyunseok Seo; Seohee So; Sojin Yun; Seokjun Lee; Jiseong Barg (AMAI@MICCAI, 2022)

Computed tomography vertebral segmentation from multi-vendor scanner data. - Chaewoo Kim; Oguzcan Bekar; Hyunseok Seo; Sang-Min Park; Deukhee Lee (J. Comput. Des. Eng., 2022)

Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile. - Seokjun Lee; Seung-Won Jung; Hyunseok Seo (AAAI, 2024)

Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention. - Saebom Leem; Hyunseok Seo (AAAI, 2024)

DViTPolyp: Small Polyp Detection in Colonoscopy Videos based on Deep Vision Transformer. - Ming Ma 004; Likun Xia; Hyunseok Seo (ICECET, 2024)

Integrating Depth Priors Into PixelNeRF for Enhanced Global Guidance. - Eunyoung You; Sumin Hu; Jeewon Kim; Hyunseok Seo (UR, 2025)