A Study of Modelling Non-stationary Time Series Using Support Vector Machines with Fuzzy Segmentation Information. - Shaomin Zhang; Lijia Zhi; Shukuan Lin (CIS (1), 2005)

Learning Based Combining Different Features for Medical Image Retrieval. - Lijia Zhi; Shaomin Zhang; Dazhe Zhao; Hongfei Yu; Hong Zhao; Shukuan Lin (ICIG, 2009)

Minimum Spanning Tree Fusing Multi-salient Points Hierarchically for Multi-modality Image Registration. - Shaomin Zhang; Lijia Zhi; Dazhe Zhao; Hong Zhao (VISAPP (2), 2010)

Minimum Spanning Tree Hierarchically Fusing Multi-feature Points and High-Dimensional Features for Medical Image Registration. - Shaomin Zhang; Lijia Zhi; Dazhe Zhao; Hong Zhao (ICIG, 2011)

Research of Non-rigid Medical Image Registration Based on Gradient Information. - Shaomin Zhang; Lijia Zhi (ISCID (2), 2017)

Nested multi-scale transform fusion model: The response evaluation of chemoradiotherapy for patients with lung tumors. - Tao Zhou 009; Shan Liu; Huiling Lu; Jing Bai; Lijia Zhi; Shi Qiu 002 (Comput. Methods Programs Biomed., 2023)

Deep neural network pulmonary nodule segmentation methods for CT images: Literature review and experimental comparisons. - Lijia Zhi; Wujun Jiang; Shaomin Zhang; Tao Zhou 009 (Comput. Biol. Medicine, 2023)

A Dual-Branch Framework With Prior Knowledge for Precise Segmentation of Lung Nodules in Challenging CT Scans. - Wujun Jiang; Lijia Zhi; Shaomin Zhang; Tao Zhou 009 (IEEE J. Biomed. Health Informatics, 2024)