"Zarina Rakhimberdina","Improving automated detection of autism spectrum disorder with deep learning based on resting-state and task-based fMRI data",,,,,,,2023,Sept.
"Zarina Rakhimberdina","Improving automated detection of autism spectrum disorder with deep learning based on resting-state and task-based fMRI data",,,,,,,2023,Sept.
"Zarina Rakhimberdina","Improving automated detection of autism spectrum disorder with deep learning based on resting-state and task-based fMRI data",,,,,,,2023,Sept.
"Zarina Rakhimberdina,Liu Xin,Tsuyoshi Murata","Strengthening Robustness under Adversarial Attacks using Brain Visual Codes",,"IEEE Access","IEEE","Vol. 10",,"pp. 96149-96158",2022,Sept.
"Zarina Rakhimberdina,Jodelet Quentin Magic,Xin Liu,Tsuyoshi MURATA","Natural Image Reconstruction from fMRI using Deep Learning: A Survey",,"Frontiers in Neuroscience","frontiers","Vol. 15","No. 795488",,2021,Dec.
"Zarina Rakhimberdina,Tsuyoshi MURATA","Population Graph-based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder",,"Sensors","MDPI","Vol. 20","No. 21","pp. 1-18",2020,Oct.
"Zarina Rakhimberdina,Tsuyoshi MURATA","Linear Graph Convolutional Model for Diagnosing Brain Disorders","the 8th International Conference on Complex Networks and Their Applications (Complex Networks 2019)",,"Springer","Vol. 2",,"pp. 815-826",2019,Dec.
"Jeffrey Scott Cross,May Kristine Jonson Carlon,Zarina Rakhimberdina,Nopphon Keerativoranan,Yong Hong Tan,Hideki Mori","Improving MOOC quality using learning analytics tools","Learning with MOOCs 2019",,,,,,2019,Oct.