陈武凡代表性论著

陈武凡教授在多个学术领域内均有卓越贡献。自本科课程《数字信号处理》到研究生层次的《随机过程》、《数字图像处理》，再到博士生阶段的《数字图像分析》，陈教授不仅教授了广泛的知识体系，还持续在科研领域深入探索。近年来，陈教授在学术期刊上发表论文共计110篇，主编教材和专著各2部，充分展示了其在学术研究和教育领域内的丰富经验和深度洞察。 以下是陈教授近期发表的部分代表性论著，这些成果在医学图像处理、信号处理等领域内具有显著的创新性和影响力：[1] Zhou, Shoujun, and Chen, Wufan. "A New Approach to the Motion Estimation of Cardiac Image Sequences: Active Contours Motion Tracking Based on the Generalized Fuzzy Gradient Vector Flow." IEEE-BME, 3, 2003. pp.399-402.[2] Chen, Huafu, et al. "An Integrated Neighborhood Correlation and Hierarchical Clustering approach of Functional MRI." IEEE T BME 2005（12）.[3] Chen, Huafu, et al. "Delay Correlation Subspace Decomposition Algorithm and Its Application in fMRI." IEEE Trans. Medical imaging，2005，24（12）1647-1650.[4] Lin, Yazhong, and Chen, Wufan. "An Adaptive Speed Term Based on Generalized Fuzzy Operator for Level Set Segmentation." IEEE ISBI 2004, April 15-18, pp.141-144,2004, Arlington,VA.[5] Yan, Gang, and Chen, Wufan. "An Adaptive Markov Model-Based Method to Cluster Validation in Image Segmentation." Proceeding of the IEEE Engineering in Medicine and Biology 27th Annual Conference, Shanghai, China, 2005.[6] Liu, Xingang, and Chen, Wufan. "A New Hybridize Rigid-elastic Multiresolution Algorithm for Medical Image Registration." Proceeding of the IEEE Engineering in Medicine and Biology 27th Annual Conference, Shanghai, China, 2005.[7] Yan, Gang, and Chen, Wufa. "A New Algorithm Based on Fuzzy Gibbs Random Fields for Image Segmentation." LECTURE NOTES IN COMPUTER SCIENCE 3150: MIAR 2004, pp. 163-170.[8] Feng, YQ, and Chen, WF. "Brain MR image segmentation using fuzzy clustering with spatial constraints based on Markov random field theory." LECTURE NOTES IN COMPUTER SCIENCE, 2004, 3150: pp.188-195.[9] Lin, Yazhong, Chen, Wufan, and Chan, Francis H. Y. "Multi-Class Segmentation Based on Generalized Fuzzy Gibbs Random Fields." ICIP2003, Sept. 14-17, Barcelona, Spain, pp.399-402.[10] Jin, Fengqian, and Chen, Wufan. "基于内嵌块优化等级树(EBOHT)算法的图像编码." 计算机学报, vol