Sieun Lee

21 papers Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adaptive Nonlinear Vector Autoregression: Robust Forecasting for Noisy Chaotic Time Series.
CoRR
Azimov Sherkhon, Susana Lopez-Moreno, Eric Dolores-Cuenca, Sieun Lee, Sangil Kim
2025 J jnl
Joint estimation of hand-foot-mouth disease model and prediction in korea using the ensemble kalman filter.
PLoS Comput. Biol.
Wasim Abbas, Sieun Lee, Sangil Kim
2025 J jnl
Mathematical modeling of age-specific intervention strategies for latent tuberculosis infection.
Comput. Biol. Medicine
Hyosun Lee, Wasim Abbas, Sieun Lee, Sangil Kim, Sunmi Lee, Jin-Won Kwon
2025 J jnl
SymScore: Machine learning accuracy meets transparency in a symbolic regression-based clinical score generator.
Comput. Biol. Medicine
Olive R. Cawiding, Sieun Lee, Hyeontae Jo, Sungmoon Kim, Sooyeon Suh, Eun Yeon Joo, Seockhoon Chung, Jae Kyoung Kim
2023 J jnl
Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks.
Comput. Biol. Medicine
Shuo Chen, Da Ma, Sieun Lee, Timothy T. L. Yu, Gavin Xu, Donghuan Lu, Karteek Popuri, Myeong Jin Ju, Marinko V. Sarunic, Mirza Faisal Beg
2022 J jnl
Clinical explainable differential diagnosis of polypoidal choroidal vasculopathy and age-related macular degeneration using deep learning.
Comput. Biol. Medicine
Da Ma, Meenakshi Kumar, Vikas Khetan, Parveen Sen, Muna Bhende, Shuo Chen, Timothy T. L. Yu, Sieun Lee, Eduardo V. Navajas, Joanne A. Matsubara, Myeong Jin Ju, Marinko V. Sarunic, Rajiv Raman, Mirza Faisal Beg
2022 J jnl
Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease.
CoRR
Ghazal Mirabnahrazam, Da Ma, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, Lei Wang, James E. Galvin, Mirza Faisal Beg, Alzheimer's Disease Neuroimaging Initiative
2022 J jnl
Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis.
CoRR
Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E. Galvin, Lei Wang, Mirza Faisal Beg, Alzheimer's Disease Neuroimaging Initiative
2022 J jnl
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks.
CoRR
Shuo Chen, Da Ma, Sieun Lee, Timothy T. L. Yu, Gavin Xu, Donghuan Lu, Karteek Popuri, Myeong Jin Ju, Marinko V. Sarunic, Mirza Faisal Beg
2021 J jnl
LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images.
Comput. Medical Imaging Graph.
Da Ma, Donghuan Lu, Shuo Chen, Morgan Heisler, Setareh Dabiri, Sieun Lee, Hyunwoo Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg
2020 — conf
Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map.
MIDL
Da Ma, Donghuan Lu, Morgan Heisler, Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg
2020 J jnl
Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI.
NeuroImage
Da Ma, Manuel Jorge Cardoso, Maria A. Zuluaga, Marc Modat, Nick M. Powell, Frances K. Wiseman, Jon O. Cleary, Benjamin Sinclair, Ian F. Harrison, Bernard Siow, Karteek Popuri, Sieun Lee, Joanne A. Matsubara, Marinko V. Sarunic, Mirza Faisal Beg, Victor L. J. Tybulewicz, Elizabeth M. C. Fisher, Mark F. Lythgoe, Sébastien Ourselin
2019 J jnl
Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence.
CoRR
Donghuan Lu, Morgan Heisler, Da Ma, Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg
2019 J jnl
Deep learning vessel segmentation and quantification of the foveal avascular zone using commercial and prototype OCT-A platforms.
CoRR
Morgan Heisler, Forson Chan, Zaid Mammo, Chandrakumar Balaratnasingam, Pavle Prentasic, Gavin Docherty, MyeongJin Ju, Sanjeeva Rajapakse, Sieun Lee, Andrew B. Merkur, Andrew W. Kirker, David A. Albiani, David Maberley, K. Bailey Freund, Mirza Faisal Beg, Sven Loncaric, Marinko V. Sarunic, Eduardo V. Navajas
2019 J jnl
Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network.
Medical Image Anal.
Donghuan Lu, Morgan Heisler, Sieun Lee, Gavin Weiguang Ding, Eduardo Navajas, Marinko V. Sarunic, Mirza Faisal Beg
2017 J jnl
Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework.
Medical Image Anal.
Sieun Lee, Nicolas Charon, Benjamin Charlier, Karteek Popuri, Evgeniy Lebed, Marinko V. Sarunic, Alain Trouvé, Mirza Faisal Beg
2017 J jnl
Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network.
CoRR
Donghuan Lu, Morgan Heisler, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg
2015 J jnl
Exact Surface Registration of Retinal Surfaces From 3-D Optical Coherence Tomography Images.
IEEE Trans. Biomed. Eng.
Sieun Lee, Evgeniy Lebed, Marinko V. Sarunic, Mirza Faisal Beg
2013 — conf
Automatic detection of subretinal fluid and sub-retinal pigment epithelium fluid in optical coherence tomography images.
EMBC
Gavin Weiguang Ding, Mei Young, Serge Bourgault, Sieun Lee, David A. Albiani, Andrew W. Kirker, Farzin Forooghian, Marinko V. Sarunic, Andrew B. Merkur, Mirza Faisal Beg
2003 — conf
Reducing Spatial Relationships for Efficient Image Retrieval.
ICADL
SooCheol Lee, Sieun Lee, Eenjun Hwang
2003 — conf
Web Surfing Assistant for Improving Web Accessibility.
International Conference on Internet Computing
Sieun Lee, Eenjun Hwang