Wan Liu

Orcid: 0000-0002-9641-8596

Affiliations:

Beijing Institute of Technology, School of Integrated Circuits and Electronics, China
Harvard Medical School, Boston MA, USA
Xidian University, School of Artificial Intelligence, Xian, Shaanxi, China

According to our database¹, Wan Liu authored at least 12 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Article

PhD thesis

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Bibliography

2024

The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study.

[BibT_eX]

[DOI]

CoRR, 2024

Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

2023

One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer.

[BibT_eX]

[DOI]

Medical Image Anal., December, 2023

Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes.

[BibT_eX]

[DOI]

CoRR, 2023

Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap.

[BibT_eX]

[DOI]

Wan Liu

Chuyang Ye

Proceedings of the Information Processing in Medical Imaging, 2023

2022

Volumetric segmentation of white matter tracts with label embedding.

[BibT_eX]

[DOI]

NeuroImage, 2022

A transfer learning approach to few-shot segmentation of novel white matter tracts.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Improved White Matter Tract Segmentation for Unannotated Dataset.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022

2020

A Hybrid-3D Convolutional Network for Video Compressive Sensing.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

ROI-CSNet: Compressive sensing network for ROI-aware image recovery.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2019

Visualizing and understanding of learned compressive sensing with residual network.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Wan Liu

Timeline

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