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2020 – today
- 2024
[c10]Seokjun Lee, Seung-Won Jung, Hyunseok Seo:
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile. AAAI 2024: 2929-2937- [c9]Saebom Leem, Hyunseok Seo:
Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention. AAAI 2024: 2956-2964 - [i5]Saebom Leem, Hyunseok Seo:
Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention. CoRR abs/2402.04563 (2024) - [i4]Seokjun Lee, Seung-Won Jung, Hyunseok Seo:
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile. CoRR abs/2403.05093 (2024) - 2022
- [j5]Chaewoo Kim
, Oguzcan Bekar, Hyunseok Seo, Sang-Min Park, Deukhee Lee:
Computed tomography vertebral segmentation from multi-vendor scanner data. J. Comput. Des. Eng. 9(4): 1650-1664 (2022) - [c8]YongSoo Kim, Seungbin Park, Hannah Kim, Seung-seob Kim, Joon Seok Lim, Sungwon Kim, Kihwan Choi, Hyunseok Seo:
A Bounding-Box Regression Model for Colorectal Tumor Detection in CT Images Via Two Contrary Networks. EMBC 2022: 3793-3796 - [c7]Hyunseok Seo, Seohee So, Sojin Yun, Seokjun Lee, Jiseong Barg:
Spatial Feature Conservation Networks (SFCNs) for Dilated Convolutions to Improve Breast Cancer Segmentation from DCE-MRI. AMAI@MICCAI 2022: 118-127 - 2021
- [j4]Hyunseok Seo, Maxime Bassenne, Lei Xing:
Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions. IEEE Trans. Medical Imaging 40(2): 585-593 (2021) - [j3]Hyunseok Seo, Lequan Yu, Hongyi Ren, Xiaomeng Li, Liyue Shen, Lei Xing:
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation. IEEE Trans. Medical Imaging 40(12): 3369-3378 (2021) - [c6]Hyunseok Seo, Kelly M. Shin, Yeunwoong Kyung:
A Dual Domain Network For MRI Reconstruction Using Gabor Loss. ICIP 2021: 146-149 - 2020
- [j2]Xiao Jia, Xiaochun Mai, Yi Cui, Yixuan Yuan, Xiaohan Xing, Hyunseok Seo, Lei Xing, Max Q.-H. Meng:
Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction. IEEE Trans Autom. Sci. Eng. 17(3): 1570-1584 (2020) - [j1]Hyunseok Seo, Charles W. Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing:
Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images. IEEE Trans. Medical Imaging 39(5): 1316-1325 (2020) - [c5]Cam-Hao Hua, Thien Huynh-The, Hyunseok Seo, Sungyoung Lee:
Convolutional Network with Densely Backward Attention for Facial Expression Recognition. IMCOM 2020: 1-6
2010 – 2019
- 2019
- [c4]Jangkyum Kim, Jun Kyun Choi, Youngjoo Heo, Hyunseok Seo, Jaeseob Han:
Prediction of power consumption in the factory using long-short term memory. ICTC 2019: 1211-1214 - [i3]Hyunseok Seo, Charles W. Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing:
Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images. CoRR abs/1911.00140 (2019) - [i2]Hyunseok Seo, Masoud Badiei Khuzani, Varun Vasudevan, Charles W. Huang, Hongyi Ren, Ruoxiu Xiao, Xiao Jia, Lei Xing:
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications. CoRR abs/1911.02521 (2019) - [i1]Charles W. Huang, Masoud Badiei, Hyunseok Seo, Ming Ma, Xiaokun Liang, Dante Capaldi, Michael Gensheimer, Lei Xing:
Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations. CoRR abs/1911.10417 (2019) - 2016
- [c3]Min-Soo Kim, Kyuhyeon An, Himchan Park, Hyunseok Seo, Jinwook Kim:
GTS: A Fast and Scalable Graph Processing Method based on Streaming Topology to GPUs. SIGMOD Conference 2016: 447-461 - 2015
- [c2]Hyunseok Seo, Jinwook Kim, Min-Soo Kim:
GStream: a graph streaming processing method for large-scale graphs on GPUs. PPoPP 2015: 253-254 - 2011
- [c1]Hyung-Soo Ohk, Hyunseok Seo, KiMin Kang, Sang Ho Kim, Don-Chul Choi:
A restoration method for distorted image scanned from a bound book. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2011: 78661T
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