Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images. - Yaozong Gao; Li Wang 026; Yeqin Shao; Dinggang Shen (MLMI, 2014)

CT Prostate Deformable Segmentation by Boundary Regression. - Yeqin Shao; Yaozong Gao; Xin Yang 009; Dinggang Shen (MCV, 2014)

Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning. - Yeqin Shao; Yaozong Gao; Yanrong Guo; Yonghong Shi; Xin Yang 009; Dinggang Shen (IEEE Trans. Medical Imaging, 2014)

Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression. - Yeqin Shao; Yanrong Guo; Yaozong Gao; Xin Yang 009; Dinggang Shen (MCV@MICCAI, 2015)

Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images. - Yeqin Shao; Yaozong Gao; Qian Wang 001; Xin Yang 009; Dinggang Shen (Medical Image Anal., 2015)

Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests. - Yaozong Gao; Yeqin Shao; Jun Lian; Andrew Z. Wang; Ronald C. Chen; Dinggang Shen (IEEE Trans. Medical Imaging, 2016)

Retinal image registration based on the feature of bifurcation point. - Yiliu Hang; Xiaofeng Zhang; Yeqin Shao; Huiqun Wu; Wei Sun (CISP-BMEI, 2017)

Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution. - Jinpeng Zhang; Lichi Zhang; Lei Xiang; Yeqin Shao; Guorong Wu 001; Xiaodong Zhou; Dinggang Shen; Qian Wang 001 (Pattern Recognit., 2017)

A hybrid spam detection method based on unstructured datasets. - Yeqin Shao; Marcello Trovati; Quan Shi; Olga Angelopoulou; Eleana Asimakopoulou; Nik Bessis (Soft Comput., 2017)

Non-stationary speckle reduction in high resolution SAR images. - Zhihuo Xu; Quan Shi; Yunjin Chen; WenSen Feng; Yeqin Shao; Ling Sun 009; Xinming Huang 001 (Digit. Signal Process., 2018)

A novel method of mitigating the mutual interference between multiple LFMCW radars for automotive applications. - Zhihuo Xu; Quan Shi; Jiajia Shi; Han Wang 018; Ming Wei; Ruifeng Gao; Yeqin Shao; Huairen Tao (IGARSS, 2019)

Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression. - Yeqin Shao; Jaeil Kim; Yaozong Gao; Qian Wang 001; Weili Lin; Dinggang Shen (IEEE Access, 2019)

Zebrafish Embryo Vessel Segmentation Using a Novel Dual ResUNet Model. - Kun Zhang 010; Hongbin Zhang 004; Huiyu Zhou 001; Danny Crookes; Ling Li 010; Yeqin Shao; Dong Liu 010 (Comput. Intell. Neurosci., 2019)

Effect Analysis and Spectral Weighting Optimization of Sidelobe Reduction on SAR Image Understanding. - Zhihuo Xu; Heng-Chao Li 001; Quan Shi; Han Wang 018; Ming Wei; Jiajia Shi; Yeqin Shao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Multiple Morphological Constraints-Based Complex Gland Segmentation in Colorectal Cancer Pathology Image Analysis. - Kun Zhang 010; JunHong Fu; Liang Hua; Peijian Zhang; Yeqin Shao; Sheng Xu; Huiyu Zhou 001; Li Chen; Jing Wang (Complex., 2020)

Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations. - Shuai Wang 003; Qian Wang 001; Yeqin Shao; Liangqiong Qu; Chunfeng Lian; Jun Lian; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation. - Shuai Wang 003; Dong Nie; Liangqiong Qu; Yeqin Shao; Jun Lian; Qian Wang 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Diagnostic efficiency of multi-modal MRI based deep learning with Sobel operator in differentiating benign and malignant breast mass lesions - a retrospective study. - Weixia Tang; Ming Zhang; Changyan Xu; Yeqin Shao; Jiahuan Tang; Shenchu Gong; Hao Dong; Meihong Sheng (PeerJ Comput. Sci., 2023)

FAFuse: A Four-Axis Fusion framework of CNN and Transformer for medical image segmentation. - 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; et al. (Comput. Biol. Medicine, 2023)

A New Class of Bessel Kernel Functions for Support Vector Machine. - Yeqin Shao; Quan Jiang (IEEE Access, 2024)

CSSNet: Cascaded spatial shift network for multi-organ segmentation. - Yeqin Shao; Kunyang Zhou; Lichi Zhang (Comput. Biol. Medicine, 2024)