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Hyunseok Seo
Observed names:
H Seo,
Seo, Hyunseok
Institution:
Korea University
Observed institutions:
Korea Advanced Institute of Science and Technology,
Korea University,
Stanford Medicine,
Korean Association Of Science and Technology Studies,
Korea Institute of Science and Technology,
Korea University of Science and Technology,
Stanford University
show all 7
ORCID:
0000-0003-0224-8942
Observed ORCID:
0000-0003-0224-8942
OpenAlex ID:
A5090816728
Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
2019
·
Hyunseok Seo
, Charles Huang
, et al.
·
IEEE Transactions on Medical Imaging
·
441
Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state‐of‐art applications
2020
·
Hyunseok Seo
, Masoud Badiei Khuzani
, et al.
·
Medical Physics
·
307
Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction
2020
·
Xiao Jia
, Xiaochun Mai
, et al.
·
IEEE Transactions on Automation Science and Engineering
·
97
Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention
2024
·
Saebom Leem
, Hyunseok Seo
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
48
PDF
An Endodontic Forecasting Model Based on the Analysis of Preoperative Dental Radiographs: A Pilot Study on an Endodontic Predictive Deep Neural Network
2023
·
Junghoon Lee
, Hyunseok Seo
, et al.
·
Journal of Endodontics
·
33
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation
2021
·
Hyunseok Seo
, Lequan Yu
, et al.
·
IEEE Transactions on Medical Imaging
·
32
Deep Learning-Based Automatic Segmentation of Mandible and Maxilla in Multi-Center CT Images
2022
·
Seungbin Park
, Hannah Kim
, et al.
·
Applied Sciences
·
25
PDF
Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions
2020
·
Hyunseok Seo
, Maxime Bassenne
, et al.
·
IEEE Transactions on Medical Imaging
·
25
Self‐supervised learning for denoising of multidimensional MRI data
2024
·
Beomgu Kang
, Wonil Lee
, et al.
·
Magnetic Resonance in Medicine
·
15
Artificial Intelligence Model for Detection of Colorectal Cancer on Routine Abdominopelvic CT Examinations: A Training and External-Testing Study
2025
·
Seung-seob Kim
, Hyunseok Seo
, et al.
·
American Journal of Roentgenology
·
8
PDF
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile
2024
·
Seokjun Lee
, Seung-Won Jung
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
8
PDF
Self‐gated cardiac cine imaging using phase information
2016
·
Hyunseok Seo
, Dongchan Kim
, et al.
·
Magnetic Resonance in Medicine
·
8
PDF
Unsupervised motion artifact correction of turbo spin‐echo MRI using deep image prior
2024
·
Jongyeon Lee
, Hyunseok Seo
, et al.
·
Magnetic Resonance in Medicine
·
5
PDF
Computed tomography vertebral segmentation from multi-vendor scanner data
2022
·
Chaewoo Kim
, Oguzcan Bekar
, et al.
·
Journal of Computational Design and Engineering
·
5
PDF
A Dual Domain Network For MRI Reconstruction Using Gabor Loss
2021
·
Hyunseok Seo
, Kelly M. Shin
, et al.
·
Proceedings - International Conference on Image Processing
·
5
Retrospective motion gating in cardiac MRI using a simultaneously acquired navigator
2017
·
Byungjai Kim
, Hyunseok Seo
, et al.
·
NMR in Biomedicine
·
5
RenseNet: A Deep Learning Network Incorporating Residual and Dense Blocks with Edge Conservative Module to Improve Small-Lesion Classification and Model Interpretation
2024
·
Hyunseok Seo
, Seokjun Lee
, et al.
·
Cancers
·
4
PDF
Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations
2019
·
Huang, Charles
, Badiei, Masoud
, et al.
·
arXiv (Cornell University)
·
4
PDF
Isotropic diffusion weighting for measurement of a high-resolution apparent diffusion coefficient map using a single radial scan in MRI
2014
·
Hyunseok Seo
, Joonsung Choi
, et al.
·
Physics in Medicine and Biology
·
4
Physics-informed optimization of saturation-transfer MRI protocols using non-differentiable Bloch models
2026
·
Beomgu Kang
, Munendra Singh
, et al.
·
Physics in Medicine and Biology
·
3
Spatial Feature Conservation Networks (SFCNs) for Dilated Convolutions to Improve Breast Cancer Segmentation from DCE-MRI
2022
·
Hyunseok Seo
, Seohee So
, et al.
·
Lecture notes in computer science
·
3
Sliding time of flight: Sliding time of flight MR angiography using a dynamic image reconstruction method
2014
·
Joonsung Choi
, Hyunseok Seo
, et al.
·
Magnetic Resonance in Medicine
·
3
A noise robust image reconstruction using slice aware cycle interpolator network for parallel imaging in MRI
2024
·
Jeewon Kim
, Wonil Lee
, et al.
·
Medical Physics
·
2
A Bounding-Box Regression Model for Colorectal Tumor Detection in CT Images Via Two Contrary Networks
2022
·
YongSoo Kim
, Seungbin Park
, et al.
·
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
·
2
A multicontrast imaging method using steady‐state free precession with alternating RF flip angles
2018
·
Joonsoo Kim
, Hyunseok Seo
, et al.
·
Magnetic Resonance in Medicine
·
2
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Works count:
51
Citation count:
1,103
H-index:
9
I10-index:
9
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