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Journal Articles
- 2024
[j16]Yeqin Shao
, Quan Jiang:
A New Class of Bessel Kernel Functions for Support Vector Machine. IEEE Access 12: 5357-5364 (2024)- [j15]Yeqin Shao, Kunyang Zhou, Lichi Zhang:
CSSNet: Cascaded spatial shift network for multi-organ segmentation. Comput. Biol. Medicine 170: 107955 (2024) - 2023
- [j14]Shoukun Xu, Dehao Xiao, Baohua Yuan, Yi Liu, Xueyuan Wang, Ning Li, Lin Shi, Jialu Chen, Ju-Xiao Zhang, Yanhao Wang, Jianfeng Cao, Yeqin Shao, Mingjie Jiang:
FAFuse: A Four-Axis Fusion framework of CNN and Transformer for medical image segmentation. Comput. Biol. Medicine 166: 107567 (2023) - [j13]Weixia Tang, Ming Zhang, Changyan Xu, Yeqin Shao, Jiahuan Tang, Shenchu Gong, Hao Dong, Meihong Sheng:
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. 9: e1460 (2023) - 2020
- [j12]Kun Zhang, JunHong Fu, Liang Hua, Peijian Zhang, Yeqin Shao, Sheng Xu, Huiyu Zhou, Li Chen, Jing Wang:
Multiple Morphological Constraints-Based Complex Gland Segmentation in Colorectal Cancer Pathology Image Analysis. Complex. 2020: 6180457:1-6180457:16 (2020) - [j11]Shuai Wang, Qian Wang, Yeqin Shao, Liangqiong Qu, Chunfeng Lian, Jun Lian, Dinggang Shen:
Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations. IEEE Trans. Biomed. Eng. 67(10): 2710-2720 (2020) - [j10]Shuai Wang, Dong Nie, Liangqiong Qu, Yeqin Shao, Jun Lian, Qian Wang, Dinggang Shen:
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation. IEEE Trans. Medical Imaging 39(6): 2151-2162 (2020) - 2019
- [j9]Yeqin Shao, Jaeil Kim, Yaozong Gao, Qian Wang, Weili Lin, Dinggang Shen:
Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression. IEEE Access 7: 33728-33740 (2019) - [j8]Kun Zhang, Hongbin Zhang, Huiyu Zhou, Danny Crookes, Ling Li, Yeqin Shao, Dong Liu:
Zebrafish Embryo Vessel Segmentation Using a Novel Dual ResUNet Model. Comput. Intell. Neurosci. 2019: 8214975:1-8214975:14 (2019) - [j7]Zhihuo Xu, Heng-Chao Li, Quan Shi, Han Wang, Ming Wei, Jiajia Shi, Yeqin Shao:
Effect Analysis and Spectral Weighting Optimization of Sidelobe Reduction on SAR Image Understanding. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(9): 3434-3444 (2019) - 2018
- [j6]Zhihuo Xu, Quan Shi, Yunjin Chen, WenSen Feng, Yeqin Shao, Ling Sun, Xinming Huang:
Non-stationary speckle reduction in high resolution SAR images. Digit. Signal Process. 73: 72-82 (2018) - 2017
- [j5]Jinpeng Zhang, Lichi Zhang, Lei Xiang, Yeqin Shao, Guorong Wu, Xiaodong Zhou, Dinggang Shen, Qian Wang:
Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution. Pattern Recognit. 63: 531-541 (2017) - [j4]Yeqin Shao, Marcello Trovati, Quan Shi, Olga Angelopoulou, Eleana Asimakopoulou, Nik Bessis:
A hybrid spam detection method based on unstructured datasets. Soft Comput. 21(1): 233-243 (2017) - 2016
- [j3]Yaozong Gao, Yeqin Shao, Jun Lian, Andrew Z. Wang, Ronald C. Chen, Dinggang Shen:
Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests. IEEE Trans. Medical Imaging 35(6): 1532-1543 (2016) - 2015
- [j2]Yeqin Shao, Yaozong Gao, Qian Wang, Xin Yang, Dinggang Shen:
Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images. Medical Image Anal. 26(1): 345-356 (2015) - 2014
- [j1]Yeqin Shao, Yaozong Gao, Yanrong Guo, Yonghong Shi, Xin Yang, Dinggang Shen:
Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning. IEEE Trans. Medical Imaging 33(9): 1761-1780 (2014)
Conference and Workshop Papers
- 2019
- [c5]Zhihuo Xu, Quan Shi, Jiajia Shi, Han Wang, Ming Wei, Ruifeng Gao, Yeqin Shao, Huairen Tao:
A novel method of mitigating the mutual interference between multiple LFMCW radars for automotive applications. IGARSS 2019: 2178-2181 - 2017
- [c4]Yiliu Hang, Xiaofeng Zhang, Yeqin Shao, Huiqun Wu, Wei Sun:
Retinal image registration based on the feature of bifurcation point. CISP-BMEI 2017: 1-6 - 2015
- [c3]Yeqin Shao, Yanrong Guo, Yaozong Gao, Xin Yang, Dinggang Shen:
Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression. MCV@MICCAI 2015: 146-154 - 2014
- [c2]Yaozong Gao, Li Wang, Yeqin Shao, Dinggang Shen:
Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images. MLMI 2014: 93-100 - [c1]Yeqin Shao, Yaozong Gao, Xin Yang, Dinggang Shen:
CT Prostate Deformable Segmentation by Boundary Regression. MCV 2014: 127-136
Coauthor Index
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