Tae-Hee Cho

12 papers Misc 1Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Fusion of Dwi Image and Clinical Variables for Stroke Outcome Prediction Using Tabular Transformer.
ISBI
Mingtian Liu, Nima Hatami, Laura Mechtouff, Tae-Hee Cho, Carole Lartizien, Carole Frindel
2025 — conf
Lesion-Centered Vision Transformer for Stroke Outcome Prediction from Image and Clinical Data.
MICCAI (15)
Mingtian Liu, Nima Hatami, Laura Mechtouff, Tae-Hee Cho, Carole Lartizien, Carole Frindel
2023 — conf
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data.
ISBI
Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel
2023 J jnl
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction using Multimodal MRI Data.
CoRR
Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel
2023 — conf
Difficulty Metrics Study for Curriculum-Based Deep Learning in the Context of Stroke Lesion Segmentation.
ISBI
Juliette Moreau, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel
2022 — conf
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients.
EMBC
Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel
2022 J jnl
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients.
CoRR
Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel
2020 J jnl
Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke.
Comput. Biol. Medicine
Noëlie Debs, Pejman Rasti, Léon Victor, Tae-Hee Cho, Carole Frindel, David Rousseau
2019 — conf
Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network.
SASHIMI@MICCAI
Noëlie Debs, Méghane Decroocq, Tae-Hee Cho, David Rousseau, Carole Frindel
2018 J jnl
Better Diffusion Segmentation in Acute Ischemic Stroke Through Automatic Tree Learning Anomaly Segmentation.
Frontiers Neuroinformatics
Jens K. Boldsen, Thorbjørn S. Engedal, Salvador Pedraza, Tae-Hee Cho, Götz Thomalla, Norbert Nighoghossian, Jean-Claude Baron, Jens Fiehler, Leif Østergaard, Kim Mouridsen
2018 J jnl
Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke.
Medical Image Anal.
Mathilde Giacalone, Pejman Rasti, Noëlie Debs, Carole Frindel, Tae-Hee Cho, Emmanuel Grenier, David Rousseau
2016 Misc conf
Development of Information Security Management Assessment Model for the Financial Sector.
WISA
Eun Oh, Tae-sung Kim, Tae-Hee Cho