論文

• Zarina Rakhimberdina, Liu Xin, Tsuyoshi Murata. Strengthening Robustness under Adversarial Attacks using Brain Visual Codes, IEEE Access, IEEE, Vol. 10, pp. 96149-96158, Sept. 2022.  公式リンク  
  
• 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, Oct. 2020.  公式リンク  
  

国際会議発表 (査読有り)

• 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, Dec. 2019.  公式リンク  
  
• 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, Oct. 2019.  公式リンク  
  

その他の論文・著書など

• 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, Dec. 2021.  公式リンク  
  

学位論文

• Improving automated detection of autism spectrum disorder with deep learning based on resting-state and task-based fMRI data,  Thesis,  Doctor (Academic),  Tokyo Institute of Technology,  2023/09/22,   
• Improving automated detection of autism spectrum disorder with deep learning based on resting-state and task-based fMRI data,  Exam Summary,  Doctor (Academic),  Tokyo Institute of Technology,  2023/09/22,   
• Improving automated detection of autism spectrum disorder with deep learning based on resting-state and task-based fMRI data,  Summary,  Doctor (Academic),  Tokyo Institute of Technology,  2023/09/22,   

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