Weizheng Yan

Orcid: 0000-0002-0885-5631

According to our database1, Weizheng Yan authored at least 9 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks.
IEEE Trans. Biomed. Eng., April, 2024

2022
Deep Learning in Neuroimaging: Promises and challenges.
IEEE Signal Process. Mag., 2022

An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data.
Medical Image Anal., 2022

'Harmless' adversarial network harmonization approach for removing site effects and improving reproducibility in neuroimaging studies.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence And Dynamics For Discriminating Schizophrenia.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2018
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017


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