Tae-Hee Cho
According to our database1,
Tae-Hee Cho
authored at least 8 papers
between 2016 and 2023.
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Bibliography
2023
Difficulty Metrics Study for Curriculum-Based Deep Learning in the Context of Stroke Lesion Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2020
Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke.
Comput. Biol. Medicine, 2020
2019
Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019
2018
Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke.
Medical Image Anal., 2018
Better Diffusion Segmentation in Acute Ischemic Stroke Through Automatic Tree Learning Anomaly Segmentation.
Frontiers Neuroinformatics, 2018
2016
Development of Information Security Management Assessment Model for the Financial Sector.
Proceedings of the Information Security Applications - 17th International Workshop, 2016