Tae-Hee Cho

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 10

Top Topics

Information Security Management

Magnetic Resonance Imaging

Top Venues

Frontiers Neuroinformatics

Medical Image Anal.

Publications

Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction using Multimodal MRI Data. CoRR (2023)
Juliette Moreau, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel
Difficulty Metrics Study for Curriculum-Based Deep Learning in the Context of Stroke Lesion Segmentation. ISBI (2023)
Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data. ISBI (2023)
Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients. EMBC (2022)
Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients. CoRR (2022)
Noëlie Debs, Pejman Rasti, Léon Victor, Tae-Hee Cho, Carole Frindel, David Rousseau
Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke. Comput. Biol. Medicine 116 (2020)
Noëlie Debs, Méghane Decroocq, Tae-Hee Cho, David Rousseau, Carole Frindel
Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network. SASHIMI@MICCAI (2019)
Mathilde Giacalone, Pejman Rasti, Noëlie Debs, Carole Frindel, Tae-Hee Cho, Emmanuel Grenier, David Rousseau
Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke. Medical Image Anal. 50 (2018)
Jens K. Boldsen, Thorbjørn S. Engedal, Salvador Pedraza, Tae-Hee Cho, Götz Thomalla, Norbert Nighoghossian, Jean-Claude Baron, Jens Fiehler, Leif Østergaard, Kim Mouridsen
Better Diffusion Segmentation in Acute Ischemic Stroke Through Automatic Tree Learning Anomaly Segmentation. Frontiers Neuroinformatics 12 (2018)
Eun Oh, Tae-Sung Kim, Tae-Hee Cho
Development of Information Security Management Assessment Model for the Financial Sector. WISA (2016)