Yeqin Shao
Orcid: 0000-0001-7868-2767
According to our database1,
Yeqin Shao
authored at least 21 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Comput. Biol. Medicine, March, 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
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
Digit. Signal Process., 2018
2017
Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution.
Pattern Recognit., 2017
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
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
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