Yudan Ren
According to our database1,
Yudan Ren
authored at least 14 papers
between 2016 and 2024.
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Bibliography
2024
Identifying Individualized Functional Brain Networks: An Unsupervised Deep Temporal Attention Based Autoencoder Model.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
3D-Guided Backward Iterative Structural Refinement for Histology-to-MRI Registration.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Identifying Functional Brain Networks under Naturalistic Paradigm via A Three-Dimensional Spatial Attention Convolution Autoencoder.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Modelling Spatio-Temporal Features of Task FMRI Data via Spatio-Temporal Fusion-Transformer.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Arousal modulates the amygdala-insula reciprocal connectivity during naturalistic emotional movie watching.
NeuroImage, October, 2023
Frontiers Comput. Neurosci., February, 2023
2021
IEEE Trans. Cogn. Dev. Syst., 2021
Modeling Hierarchical Spatial and Temporal Patterns of Naturalistic fMRI Volume via Volumetric Deep Belief Network with Neural Architecture Search.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Identifying Hierarchical Individual Functional Network under Naturalistic Paradigm via Two-stage DBN with Neural Architecture Search.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020
2019
Exploring Functional Connectivity Biomarker in Autism Using Group-Wise Sparse Representation.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019
A Two-Stage DBN-Based Method to Exploring Functional Brain Networks in Naturalistic Paradigm FMRI.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Identifying autism biomarkers in default mode network using sparse representation of resting-state fMRI data.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016