Ke Yan

Orcid: 0000-0001-9314-7359

Affiliations:

University of Sydney, Sydney, Australia

According to our database¹, Ke Yan authored at least 9 papers between 2016 and 2022.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2022

Deep Cognitive Gate: Resembling Human Cognition for Saliency Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

A New Aggregation of DNN Sparse and Dense Labeling for Saliency Detection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

2020

Deep multi-scale feature fusion for pancreas segmentation from CT images.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2020

2019

A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2019

2018

Prior Knowledge Driven Energy for Saliency Detection.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Control, 2018

2016

Comprehensive autoencoder for prostate recognition on MR images.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoder.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Multilevel affinity graph for unsupervised image segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Automatic prostate segmentation on MR images with deep network and graph model.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Ke Yan

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