Web Surfing Assistant for Improving Web Accessibility. - Sieun Lee; Eenjun Hwang (International Conference on Internet Computing, 2003)

Reducing Spatial Relationships for Efficient Image Retrieval. - SooCheol Lee; Sieun Lee; Eenjun Hwang (ICADL, 2003)

Automatic detection of subretinal fluid and sub-retinal pigment epithelium fluid in optical coherence tomography images. - 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 (EMBC, 2013)

Exact Surface Registration of Retinal Surfaces From 3-D Optical Coherence Tomography Images. - Sieun Lee; Evgeniy Lebed; Marinko V. Sarunic; Mirza Faisal Beg (IEEE Trans. Biomed. Eng., 2015)

Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network. - Donghuan Lu; Morgan Heisler; Sieun Lee; Gavin Weiguang Ding; Marinko V. Sarunic; Mirza Faisal Beg (CoRR, 2017)

Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework. - Sieun Lee; Nicolas Charon; Benjamin Charlier; Karteek Popuri; Evgeniy Lebed; Marinko V. Sarunic; Alain Trouvé; Mirza Faisal Beg (Medical Image Anal., 2017)

Deep learning vessel segmentation and quantification of the foveal avascular zone using commercial and prototype OCT-A platforms. - 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; et al. (CoRR, 2019)

Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence. - Donghuan Lu; Morgan Heisler; Da Ma; Setareh Dabiri; Sieun Lee; Gavin Weiguang Ding; Marinko V. Sarunic; Mirza Faisal Beg (CoRR, 2019)

Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network. - Donghuan Lu; Morgan Heisler; Sieun Lee; Gavin Weiguang Ding; Eduardo Navajas; Marinko V. Sarunic; Mirza Faisal Beg (Medical Image Anal., 2019)

Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map. - Da Ma; Donghuan Lu; Morgan Heisler; Setareh Dabiri; Sieun Lee; Gavin Weiguang Ding; Marinko V. Sarunic; Mirza Faisal Beg (MIDL, 2020)

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. - 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; et al. (NeuroImage, 2020)

LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images. - Da Ma; Donghuan Lu; Shuo Chen; Morgan Heisler; Setareh Dabiri; Sieun Lee; Hyunwoo Lee 007; Gavin Weiguang Ding; Marinko V. Sarunic; Mirza Faisal Beg (Comput. Medical Imaging Graph., 2021)

Clinical explainable differential diagnosis of polypoidal choroidal vasculopathy and age-related macular degeneration using deep learning. - 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; et al. (Comput. Biol. Medicine, 2022)

Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease. - Ghazal Mirabnahrazam; Da Ma; Sieun Lee; Karteek Popuri; Hyunwoo Lee 007; Jiguo Cao; Lei Wang; James E. Galvin; Mirza Faisal Beg; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2022)

Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis. - Ghazal Mirabnahrazam; Da Ma; Cédric Beaulac; Sieun Lee; Karteek Popuri; Hyunwoo Lee 007; Jiguo Cao; James E. Galvin; Lei Wang; Mirza Faisal Beg; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2022)

LogParadox. - Ben Cardoen; Hanene Ben Yedder; Sieun Lee; Ivan Robert Nabi; Ghassan Hamarneh (Zenodo, 2023)

Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks. - 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 (Comput. Biol. Medicine, 2023)

SymScore: Machine learning accuracy meets transparency in a symbolic regression-based clinical score generator. - Olive R. Cawiding; Sieun Lee; Hyeontae Jo; Sungmoon Kim; Sooyeon Suh; Eun Yeon Joo; Seockhoon Chung; Jae Kyoung Kim (Comput. Biol. Medicine, 2025)

Mathematical modeling of age-specific intervention strategies for latent tuberculosis infection. - Hyosun Lee; Wasim Abbas; Sieun Lee; Sangil Kim; Sunmi Lee; Jin-Won Kwon (Comput. Biol. Medicine, 2025)

Joint estimation of hand-foot-mouth disease model and prediction in korea using the ensemble kalman filter. - Wasim Abbas; Sieun Lee; Sangil Kim (PLoS Comput. Biol., 2025)

Adaptive Nonlinear Vector Autoregression: Robust Forecasting for Noisy Chaotic Time Series. - Azimov Sherkhon; Susana Lopez-Moreno; Eric Dolores-Cuenca; Sieun Lee; Sangil Kim (CoRR, 2025)