CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients. - Nima Hatami; Tae-Hee Cho; Laura Mechtouff; Omer Faruk Eker; David Rousseau; Carole Frindel (EMBC, 2022)

A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data. - Nima Hatami; Laura Mechtouff; David Rousseau; Tae-Hee Cho; Omer Faruk Eker; Yves Berthezene; Carole Frindel (ISBI, 2023)

Difficulty Metrics Study for Curriculum-Based Deep Learning in the Context of Stroke Lesion Segmentation. - Juliette Moreau; Laura Mechtouff; David Rousseau; Tae-Hee Cho; Omer Faruk Eker; Yves Berthezene; Carole Frindel (ISBI, 2023)

Fusion of Dwi Image and Clinical Variables for Stroke Outcome Prediction Using Tabular Transformer. - Mingtian Liu; Nima Hatami; Laura Mechtouff; Tae-Hee Cho; Carole Lartizien; Carole Frindel (ISBI, 2025)