Yeqin Shao

Orcid: 0000-0001-7868-2767

According to our database1, Yeqin Shao authored at least 21 papers between 2014 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CSSNet: Cascaded spatial shift network for multi-organ segmentation.
Comput. Biol. Medicine, March, 2024

A New Class of Bessel Kernel Functions for Support Vector Machine.
IEEE Access, 2024

2023
FAFuse: A Four-Axis Fusion framework of CNN and Transformer for medical image segmentation.
Comput. Biol. Medicine, November, 2023

Diagnostic efficiency of multi-modal MRI based deep learning with Sobel operator in differentiating benign and malignant breast mass lesions - a retrospective study.
PeerJ Comput. Sci., 2023

2020
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation.
IEEE Trans. Medical Imaging, 2020

Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations.
IEEE Trans. Biomed. Eng., 2020

Multiple Morphological Constraints-Based Complex Gland Segmentation in Colorectal Cancer Pathology Image Analysis.
Complex., 2020

2019
Effect Analysis and Spectral Weighting Optimization of Sidelobe Reduction on SAR Image Understanding.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Zebrafish Embryo Vessel Segmentation Using a Novel Dual ResUNet Model.
Comput. Intell. Neurosci., 2019

Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression.
IEEE Access, 2019

A novel method of mitigating the mutual interference between multiple LFMCW radars for automotive applications.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Non-stationary speckle reduction in high resolution SAR images.
Digit. Signal Process., 2018

2017
A hybrid spam detection method based on unstructured datasets.
Soft Comput., 2017

Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution.
Pattern Recognit., 2017

Retinal image registration based on the feature of bifurcation point.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests.
IEEE Trans. Medical Imaging, 2016

2015
Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images.
Medical Image Anal., 2015

Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

2014
Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning.
IEEE Trans. Medical Imaging, 2014

CT Prostate Deformable Segmentation by Boundary Regression.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014


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