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We present TFF, which is a Transformer framework for the analysis of functional Magnetic Resonance Imaging (fMRI) data.
Decoding the visual and subjective contents of the human brain
Yukiyasu Kamitani and Frank Tong · 2005
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2010
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Exploring the brain network: A review on resting-state fmri functional connectivity
Martijn P. van den Heuvel and Hilleke E. Hulshoff Pol · 2010
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Age-related changes in insula cortical thickness and impulsivity: significance for emotional development and decision-making
John C Churchwell and Deborah A Yurgelun-Todd · 2013
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The wu-minn human connectome project: An overview
David C. Van Essen, Stephen M. Smith, Deanna M. Barch, Timothy E.J. Behrens, Essa Yacoub, and Kamil Ugurbil · 2013
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Resting-State Functional Connectivity in Psychiatric Disorders
N. D. Woodward and C. J. Cascio · 2015
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A Window into the Brain: Advances in Psychiatric fMRI
X. Zhan and R. Yu · 2015
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Learning neural markers of schizophrenia disorder using recurrent neural networks
Jumana Dakka, Pouya Bashivan, Mina Gheiratmand, Irina Rish, Shantenu Jha, and Russell Greiner · 2017
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Preprocessed consortium for neuropsychiatric phenomics dataset
Krzysztof J Gorgolewski, Joke Durnez, and Russell A Poldrack · 2017
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Brainnetcnn: Convolutional neural networks for brain networks; towards predicting neurodevelopment
Jeremy Kawahara, Colin J Brown, Steven P Miller, Brian G Booth, Vann Chau, Ruth E Grunau, Jill G Zwicker, and Ghassan Hamarneh · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Fcnet: a convolutional neural network for calculating functional connectivity from functional mri
Atif Riaz, Muhammad Asad, SM Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, and Greg Slabaugh · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting
Bing Yu, Haoteng Yin, and Zhanxing Zhu · 2017
3D MRI brain tumor segmentation using autoencoder regularization
Andriy Myronenko · 2018
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Linked dimensions of psychopathology and connectivity in functional brain networks
C. H. Xia, Z. Ma, R. Ciric, S. Gu, R. F. Betzel, A. N. Kaczkurkin, M. E. Calkins, P. A. Cook, A. García de la Garza, S. N. Vandekar, Z. Cui, T. M. Moore, D. R. Roalf, K. Ruparel, D. H. Wolf, C. Davatzikos, R. C. Gur, R. E. Gur, R. T. Shinohara, D. S. Bassett, and T. D. Satterthwaite · 2018
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Functional MRI of brain physiology in aging and neurodegenerative diseases
J. J. Chen · 2019
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Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting
Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, and Xifeng Yan · 2019
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Effects of age and sex on subcortical volumes
Yanpei Wang, Qinfang Xu, Jie Luo, Mingming Hu, and Chenyi Zuo · 2019
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Liang Zou, Jiannan Zheng, et al · 2017
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Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex
S. Arslan, S. I. Ktena, A. Makropoulos, E. C. Robinson, D. Rueckert, and S. Parisot · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Classification and prediction of brain disorders using functional connectivity: Promising but challenging
Yuhui Du, Zening Fu, and Vince D. Calhoun · 2018
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Visualbert: A simple and performant baseline for vision and language, 2019a
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, and Kai-Wei Chang
Cited in the paper.
Spatio-temporal graph convolution for resting-state fmri analysis
Soham Gadgil, Qingyu Zhao, Adolf Pfefferbaum, Edith V Sullivan, Ehsan Adeli, and Kilian M Pohl · 2020
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Braingnn: Interpretable brain graph neural network for fmri analysis
Xiaoxiao Li, Yuan Zhou, Siyuan Gao, Nicha Dvornek, Muhan Zhang, Juntang Zhuang, Shi Gu, Dustin Scheinost, Lawrence Staib, Pamela Ventola, and James Duncan · 2020
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Deepfmri: End-to-end deep learning for functional connectivity and classification of adhd using fmri
Atif Riaz, Muhammad Asad, Eduardo Alonso, and Greg Slabaugh · 2020
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Functional connectome fingerprinting: Identifying individuals and predicting cognitive functions via autoencoder
B. Cai, G. Zhang, A. Zhang, L. Xiao, W. Hu, J. M. Stephen, T. W. Wilson, V. D. Calhoun, and Y. P. Wang · 2021
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