Medical Image Registration Based on Equivalent Meridian Plane. - Zhentai Lu; Minghui Zhang; Qianjin Feng; Pengcheng Shi; Wufan Chen (ICIAR, 2007)

A Fast 3-D Medical Image Registration Algorithm Based on Equivalent Meridian Plane. - Zhentai Lu; Qianjin Feng; Pengcheng Shi; Wufan Chen (ICIP (5), 2007)

Metric learning for maximizing MAP and its application to content-based medical image retrieval. - Wei Yang 006; Qianjin Feng; Zhentai Lu; Wufan Chen (ISBI, 2011)

Region-specific bag-of-visual-words representations for retrieving brain tumors in contrast-enhanced MRI. - Wei Yang 006; Meiyan Huang; Mei Yu; Zhentai Lu; Qianjin Feng; Wufan Chen (BHI, 2012)

Adaptive image segmentation based on local neighborhood information and Gaussian weighted Chi-square distance. - Zhentai Lu; Qian Zheng; Wei Yang 006; Qianjin Feng; Wufan Chen (ISBI, 2012)

Retrieval of Brain Tumors with Region-Specific Bag-of-Visual-Words Representations in Contrast-Enhanced MRI Images. - Meiyan Huang; Wei Yang 006; Mei Yu; Zhentai Lu; Qianjin Feng; Wufan Chen (Comput. Math. Methods Medicine, 2012)

Content-Based Retrieval of Focal Liver Lesions Using Bag-of-Visual-Words Representations of Single- and Multiphase Contrast-Enhanced CT Images. - Wei Yang 006; Zhentai Lu; Mei Yu; Meiyan Huang; Qianjin Feng; Wufan Chen (J. Digit. Imaging, 2012)

A non-parametric method based on NBNN for automatic detection of liver lesion in CT images. - Wei Yang 006; Qianjin Feng; Meiyan Huang; Zhentai Lu; Wufan Chen (ISBI, 2013)

Intensity based image registration by minimizing exponential function weighted residual complexity. - Juan Zhang; Zhentai Lu; Vadim Pigrish; Qianjin Feng; Wufan Chen (Comput. Biol. Medicine, 2013)

A robust medical image segmentation method using KL distance and local neighborhood information. - Qian Zheng; Zhentai Lu; Wei Yang 006; Minghui Zhang; Qianjin Feng; Wufan Chen (Comput. Biol. Medicine, 2013)

Adaptive Segmentation of Vertebral Bodies from Sagittal MR Images Based on Local Spatial Information and Gaussian Weighted Chi-Square Distance. - Qian Zheng; Zhentai Lu; Qianjin Feng 004; Jianhua Ma 001; Wei Yang 006; Chao Chen; Wufan Chen (J. Digit. Imaging, 2013)

Estimating pharmacokinetic parameter maps from breast DCE-MRI with implicit regularization by guided image filtering. - Wei Yang 006; Liling Yu; Zhentai Lu; Zhaoqiang Yun; Yanqiu Feng; Qianjin Feng; Wufan Chen (ISBI, 2014)

The Segmentation Interventricular Septum from MR Images. - Qian Zheng; Zhentai Lu; Minghui Zhang; Shengli Song; Huan Ma; Lujuan Deng; Zhifeng Zhang; Qianjin Feng; Wufan Chen (ICIG (3), 2015)

Hippocampus Segmentation Through Distance Field Fusion. - Shumao Pang; Zhentai Lu; Wei Yang 006; Yao Wu; Zixiao Lu; Liming Zhong; Qianjin Feng (Patch-MI@MICCAI, 2015)

Prediction of CT Substitutes from MR Images Based on Local Sparse Correspondence Combination. - Yao Wu; Wei Yang 006; Lijun Lu; Zhentai Lu; Liming Zhong; Ru Yang; Meiyan Huang; Yanqiu Feng; Wufan Chen; Qianjin Feng (MICCAI (1), 2015)

Hippocampus Segmentation Based on Orientation-Scale Descriptor and Sparse Coding. - Ying Liu; Minghui Zhang; Wei Yang 006; Zhentai Lu; Qianjin Feng (DICTA, 2016)

Predict CT image from MRI data using KNN-regression with learned local descriptors. - Liming Zhong; Liyan Lin; Zhentai Lu; Yao Wu; Zixiao Lu; Meiyan Huang; Wei Yang 006; Qianjing Feng (ISBI, 2016)

基于稀疏编码与方向-尺度描述子的海马体自动分割 (Hippocampus Segmentation Based on Spare Coding and Orientation-Scale Descriptor). - Ying Liu; Minghui Zhang; Wei Yang 006; Zhentai Lu; Qianjin Feng; Yusheng Su (计算机科学, 2017)

Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain. - Wei Yang 006; Yingyin Chen; Yunbi Liu; Liming Zhong; Genggeng Qin; Zhentai Lu; Qianjin Feng 003; Wufan Chen (Medical Image Anal., 2017)

One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation. - Chenhong Zhou; Changxing Ding; Zhentai Lu; Xinchao Wang; Dacheng Tao (MICCAI (3), 2018)

拟合精度引导的扩散加权图像配准 (Fitting Accuracy Guided Registration for Diffusion Weighted Images). - Wenhua Zhang; Minghui Zhang; Yihao Guo; Zhentai Lu; Ying Liu (计算机科学, 2018)

Lung Field Segmentation in Chest Radiographs From Boundary Maps by a Structured Edge Detector. - Wei Yang 006; Yunbi Liu; Liyan Lin; Zhaoqiang Yun; Zhentai Lu; Qianjin Feng 003; Wufan Chen (IEEE J. Biomed. Health Informatics, 2018)

Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors. - Wei Yang 006; Liming Zhong; Yang Chen 008; Liyan Lin; Zhentai Lu; Shupeng Liu; Yao Wu; Qianjin Feng 003; Wufan Chen (IEEE Trans. Medical Imaging, 2018)

Self-adaptive weighted level set evolution based on local intensity difference for parotid ducts segmentation. - Xuan Deng; Tianjun Lan; Zhifeng Chen; Minghui Zhang; Qian Tao; Zhentai Lu (Comput. Biol. Medicine, 2019)

基于放射组学特征的胃肠道间质瘤的分类预测 (Prediction of Malignant and Benign Gastrointestinal Stromal Tumors Based on Radiomics Feature). - Pingping Liu; Wenhua Zhang; Zhentai Lu; Tao Chen; Guoxin Li (计算机科学, 2019)

Hippocampus Segmentation Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding. - Shumao Pang; Zhentai Lu; Jun Jiang; Lei Zhao 015; Liyan Lin; Xueli Li; Tao Lian; Meiyan Huang; Wei Yang 006; Qianjin Feng 003 (IEEE Trans. Medical Imaging, 2019)

Correlation-Weighted Sparse Representation for Robust Liver DCE-MRI Decomposition Registration. - Yujia Zhou 001; Yuhang Sun; Wei Yang 006; Zhentai Lu; Meiyan Huang; Lijun Lu; Yu Zhang 064; Yanqiu Feng; Wufan Chen; Qianjin Feng 003 (IEEE Trans. Medical Imaging, 2019)

Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation. - Yujia Zhou 001; Shumao Pang; Jun Cheng 006; Yuhang Sun; Yi Wu; Lei Zhao 015; Yaqin Liu; Zhentai Lu; Wei Yang 006; Qianjin Feng (CoRR, 2020)

One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor Segmentation. - Chenhong Zhou; Changxing Ding; Xinchao Wang; Zhentai Lu; Dacheng Tao (IEEE Trans. Image Process., 2020)

Automatic Diabetic Foot Prediction Through Fundus Images by Radiomics Features. - Xiaokang Liang; Ebtesam N. Alshemmary; Ming Ma; Shengwu Liao; Wei Zhou; Zhentai Lu (IEEE Access, 2021)

White Blood Cells Image Classification Based on Radiomics and Deep Learning. - Wenna Wu; Shengwu Liao; Zhentai Lu (IEEE Access, 2022)

Decision-Level Fusion Classification of Ovarian CT Benign and Malignant Tumors Based on Radiomics and Deep Learning of Dual Views. - Qi Rong; Wenna Wu; Zhentai Lu; Shengwu Liao (IEEE Access, 2024)

Local Cross-View Transformers and Global Representation Collaborating for Mammogram Classification. - Wenna Wu; Qi Rong; Zhentai Lu (IEEE Access, 2024)