Login / Signup
Hyunseok Seo
ORCID
Publication Activity (10 Years)
Years Active: 2011-2024
Publications (10 Years): 20
Top Topics
High Level Features
Image Generation
Tumor Segmentation
Convolutional Network
Top Venues
CoRR
IEEE Trans. Medical Imaging
J. Comput. Des. Eng.
AAAI
</>
Publications
</>
Saebom Leem
,
Hyunseok Seo
Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention.
AAAI
(2024)
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)
Seokjun Lee
,
Seung-Won Jung
,
Hyunseok Seo
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile.
CoRR
(2024)
Saebom Leem
,
Hyunseok Seo
Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention.
CoRR
(2024)
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) (2022)
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 (5) (2022)
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)
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)
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) (2021)
Hyunseok Seo
,
Kelly M. Shin
,
Yeunwoong Kyung
A Dual Domain Network For MRI Reconstruction Using Gabor Loss.
ICIP
(2021)
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) (2021)
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) (2020)
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) (2020)
Cam-Hao Hua
,
Thien Huynh-The
,
Hyunseok Seo
,
Sungyoung Lee
Convolutional Network with Densely Backward Attention for Facial Expression Recognition.
IMCOM
(2020)
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
(2019)
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
(2019)
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
(2019)
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)
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)
Hyunseok Seo
,
Jinwook Kim
,
Min-Soo Kim
GStream: a graph streaming processing method for large-scale graphs on GPUs.
PPOPP
(2015)
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)