[65] Hui Wang, Yuqian Zhao*, Fan Zhang, Gui Gui, Lingli Yu, Baifan Chen, Miao Liao, Chunhua Yang, Weihua Gui. R-Net: Recursive Decoder with Edge Refinement Network for Salient Object Detection. Expert Systems With Applications, 2025, 261: 125562.
[64] Xiaoyu Yang, Shuzhou Li, Qigang Shao, Du Tang, Zhao Peng, Ying Cao, Zhen Yang, Yuqian Zhao*. A hybrid meta-heuristic framework with ensemble deep learning for multi-functional simultaneous optimized automatic intensity-modulated radiotherapy planning. Expert Systems With Applications, 2025, 260: 125485.
[63] Hui Wang, Yuqian Zhao*, Fan Zhang, Gui Gui, Qiwu Luo, Chunhua Yang, Weihua Gui. A feature prefusion and mask-guided network for camera decoration defect detection. IEEE Transactions on Instrumentation & Measurement, 2024, 73: 5039510.
[62] Jinmei He, Yuqian Zhao*, Fan Zhang, Feifei Hou. An Unsupervised Computed Tomography Kidney Segmentation with Multi-Region Clustering and Adaptive Active Contours. Mathematics, 2024, 12(15), 2362.
[61] Wen Ou, Biao Luo, Xiaodong Xu, Yu Feng, Yuqian Zhao. Reinforcement Learned Multiagent Cooperative Navigation in Hybrid Environment With Relational Graph Learning. IEEE Transactions on Artificial Intelligence, 2024.
[60] Miao Liao, Shuanhu Di, Yuqian Zhao, Wei Liang, Zhen Yang. FA-Net: A hierarchical feature fusion and interactive attention-based network for dose prediction in liver cancer patients. Artificial Intelligence In Medicine, 2024, 156: 102961.
[59] Xiaoyu Yang, Hui Zhang, Yuqian Zhao*, Qigang Shao, Shuzhou Li, Du Tang, Zhao Peng, Ying Cao, Zhen Yang. MR-PVHEE: a novel magnetic resonance-guided parallel-beam very high-energy electron radiotherapy system. Radiation Physics and Chemistry, 2024, 223: 111980.
[58] Zhen Xia, Miao Liao, Shuanhu Di, Yuqian Zhao, Wei Liang, Neal N. Xiong. Automatic liver segmentation from CT volumes based on multi-view information fusion and condition random fields. Optics and Laser Technology, 2024, 179: 111298.
[57] Minghong Li, Yuqian Zhao∗, Gui Gui, Fan Zhang, Biao Luo, Chunhua Yang, Weihua Gui, Kan Chang, Hui Wang. Object Detection on Low-resolution Images with Two-stage Enhancement. Knowledge-Based Systems, 2024, 299, 111985.
[56] Baifan Chen, Xiaotian Lv, Yuqian Zhao, Lingli Yu. TPDC: Point Cloud Completion by Triangular Pyramid Features and Divide-and-Conquer in Complex Environments. IEEE Transactions on Neural Networks and Learning Systems, 2024
[55] Fan Zhang, Shunlong Lin, Xiaoyang Xiao, Yun Wang, Yuqian Zhao. Global attention network with multiscale feature fusion for infrared small target detection. Optics and Laser Technology, 2024, 168(110012): 1-11. (JCR Q1, IF: 5.000)
[54] Wen Ou, Biao Luo, Bingchuan Wang, Yuqian Zhao. Modular hierarchical reinforcement learning for multi-destination navigation in hybrid crowds. Neural Networks, 2024, 171: 474-484. (JCR Q1, IF: 7.8)
[53] Yuqian Zhao, Zhongyu Xie, Fan Zhang, Miao Liao, Shuanhu Di. An unsupervised deep learning framework for large-scale lung CT deformable image registration. Optics and Laser Technology, 2024, 170(110298): 1-11. (JCR Q1, IF: 5.000)
[52] Minghong Li, Yuqian Zhao*, Fan Zhang*, Biao Luo, Chunhua Yang, Weihua Gui, Kan Chang. Multi-scale feature selection network for lightweight image super-resolution. Neural Networks, 2024, 169: 352-364. (JCR Q1, IF: 7.8)
[51] Wei Zhou, Yuqian Zhao*, Fan Zhang, Biao Luo, Chunhua Yang, Weihua Gui. TSDTVOS: Target-guided Spatiotemporal Dual-stream Transformers for Video Object Segmentation. Neurocomputing, 555 (2023) 126582: 1-12. (JCR Q2, IF: 6.000)
[50] Fan Zhang, Hanwei Peng, Lingli Yu, Yuqian Zhao, Baifan Chen. Dual-Modality Space-Time Memory Network for RGBT Tracking. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-12. (JCR Q1, IF: 5.332)
[49] Fan Zhang, Yuqian Zhao*, Biao Luo, Yu Pan, Miao Liao. Cross-layer connected network with adaptive attention mechanism for 3D multi-organ and tumor segmentations from CT. Optics and Laser Technology, 2023, 167(109662): 1-10. (JCR Q1, IF: 4.939)
[48] Dong An, Fan Zhang, Yuqian Zhao*, Biao Luo, Chunhua Yang, Baifan Chen, Lingli Yu. MTAtrack: Multilevel Transformer Attention for Visual Tracking. Optics and Laser Technology, 2023, 166(109659): 1-10. (JCR Q1, IF: 4.939)
[47] Xinning Yi, Biao Luo, Yuqian Zhao. Neural Network-Based Robust Guaranteed Cost Control for Image-Based Visual Servoing of Quadrotor. IEEE Transactions on Neural Networks and Learning Systems, 2023, 3264511: 1-13. (JCR Q1, IF: 14.255)
[46] Xiaoyang Xiao, Yuqian Zhao*, Fan Zhang, Biao Luo, Lingli Yu, Baifan Chen, Chunhua Yang. BASeg: Boundary Aware Semantic Segmentation for Autonomous Driving. Neural Networks, 2023, 157: 460–470. (JCR Q1, IF: 9.657)
[45] Jinna Yang, Yuqian Zhao*, Fan Zhang, Miao Liao, Xiaoyu Yang. Deep learning architecture with transformer and semantic field alignment for voxel-level dose prediction on brain tumor. Medical Physics, 2023, 50(2): 1149–1161. (JCR Q1, IF: 4.506)
[44] Biao Luo, Xinning Yi, Yuqian Zhao. Adaptive Dynamic Programming-Based Visual Servoing Control for Quadrotor. Neurocomputing, 2022, 504: 251-261. (JCR Q2, IF: 6.000)
[43] Shuanhu Di, Yuqian Zhao*, Miao Liao, Fan Zhang, Xiong Li. TD-Net: A Hybrid End-to-End Network for Automatic Liver Tumor Segmentation From CT Images. IEEE Journal of Biomedical and Health Informatics, 2023, 27(3): 1163-1172. (JCR Q1, IF: 5.772)
[42] Xiaoyu Yang, Shuzhou Li, Qigang Shao, Ying Cao, Zhen Yang, Yu-qian Zhao*. Uncertainty-guided man-machine integrated patient-specific quality assurance. Radiotherapy & Oncology, 2022, 173: 1-9. (JCR Q1, IF: 6.901)
[41] Shuanhu Di, Yuqian Zhao*, Miao Liao, Zhen Yang, Yezhan Zeng. Automatic liver tumor segmentation from CT images using hierarchical iterative superpixels and local statistical features. Expert Systems with Applications, 2022, 203(117347): 1-14. (JCR Q1, IF: 6.954)
[40] Bocong Gao, Yuqian Zhao*, Fan Zhang, Biao Luo, Chunhua Yang. Video object segmentation based on multi-level target models and feature integration. Neurocomputing, 2022, 492, 392-407. (JCR Q1, IF: 5.779)
[39] Ping Tang, Yu-qian Zhao*, Miao Liao. Automatic multi-organ segmentation from abdominal CT volumes with LLE-based graph partitioning and 3D Chan-Vese model. Computers in Biology and Medicine, Dec. 2021, 139, 105030: 1-11. (JCR Q1, IF: 6.698)
[38] Shao-Di Yang, Yu-Qian Zhao*, Fan Zhang, Miao Liao, Zhen Yang, Yan-Jin Wang and Ling-Li Yu. An efficient two-step multi-organ registration on abdominal CT via deep-learning based segmentation. Biomedical Signal Processing and Control, 2021, 70: 103027: 1-12. (JCR Q2, IF: 3.88)
[37] Shaodi Yang, Yuqian Zhao*, Miao Liao, Fan Zhang. An Unsupervised Learning-Based Multi-Organ Registration Method for 3D Abdominal CT Images. Sensors, 2021, 21, 6254: 1-14. (JCR Q2, IF: 3.847)
[36] Zhen Yang, Yu-qian Zhao*, Miao Liao, Shuan-hu Di, Ye-zhan Zeng. Semi-automatic liver tumor segmentation with adaptive region growing and graph cuts. Biomedical Signal Processing and Control, 2021, 68, 102670:1-10. (JCR Q2, IF: 3.88)
[35] Wannan Zhang, Yuqian Zhao*. Hierarchical registration of brain images based on B-splines and Laplacian commutators. Optik - International Journal for Light and Electron Optics, Sep. 2021, 241(9), 167022: 1-7. (JCR Q2, IF: 2.443)
[34] Xiyao Liu, Yifan Wang, Ziqiang Sun, Lei Wang, Rongchang Zhao, Yuesheng Zhu, Beiji Zou, Yuqian Zhao, Hui Fang. Robust and discriminative zero-watermark scheme based on invariant features and similarity-based retrieval to protect large-scale DIBR 3D videos. Information Sciences, 2021, 542: 263-285. (JCR Q1, IF: 6.795)
[33] Shao-di Yang, Yu-qian Zhao*, Zhen Yang, Yan-jin Wang, Fan Zhang, Ling-li Yu, Xiao-bin Wen. Target organ non-rigid registration on abdominal CT images via deep-learning based detection. Biomedical Signal Processing and Control, 2021, 70, 102976:1-14. (JCR Q2, IF: 3.88)
[32] Shao-Di Yang, Yu-Qian Zhao*, Fan Zhang, Miao Liao, Zhen Yang, Yan-Jin Wang, Ling-Li Yu. An Abdominal Registration Technology for Integration of Nanomaterial Imaging-Aided Diagnosis and Treatment. Journal of Biomedical Nanotechnology, 2021, 17(5), 952-959. (JCR Q2, IF: 4.099)
[31] Xiaohong Wang, Xudong Jiang, Henghui Ding, Yuqian Zhao, Jun Liu. Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition. Pattern Recognition, 2021, 120,108075: 1-11. (JCR Q1, IF: 7.74)
[30] Shuanhu Di, Miao Liao, Yuqian Zhao*, Yang Li, Yezhan Zeng. Image superpixel segmentation based on hierarchical multi-level LI-SLIC. Optics and Laser Technology, 2021, 135, 106703: 1-13. (JCR Q1, IF: 4.939)
[29] Yang Li, Yu-qian Zhao*, Fan Zhang, Miao Liao, Ling-li Yu, Bai-fan Chen, Yan-jin Wang. Liver segmentation from abdominal CT volumes based on level set and sparse shape composition. Computer Methods and Programs in Biomedicine, Volume 195, October 2020, 105533: 1-9. (JCR Q1, IF: 5.428)
[28] Fan Zhang, Haoran Wang, Xiongfeng Zhou, Yuqian Zhao*, Ji'an Duan. Second harmonic generation in zinc sulfide by femtosecond laser irradiation. Optics and Laser Technology, 2020, 127, 106145. (JCR Q1, IF: 4.939)
[27] Fan Zhang, Haoran Wang, Cong Wang, Yuqian Zhao*, Ji’an Duan. Direct femtosecond laser writing of inverted array for broadband antireflection in the far-infrared. Optics and Laser in Engineering, 2020, 129: 106062. (JCR Q1, IF: 4.836)
[26] Yixiong Liang, Yuan Mao, Zhihong Tang, Meng Yan, Yuqian Zhao, Jianfeng Liu. Efficient misalignment-robust multi-focus microscopical images fusion. Signal Processing, Aug. 2019, 161: 111-123. (JCR Q1, IF: 4.662)
[25] Ye-zhan Zeng, Sheng-hui Liao, Ping Tang, Yu-qian Zhao*, Miao Liao, Yan Chen, Yi-xiong Liang. Automatic Liver Vessel Segmentation Using 3D Region Growing and Hybrid Active Contour Model. Computers in Biology and Medicine, 2018, 97: 63-73. (JCR Q1, IF: 6.698)
[24] Ye-zhan Zeng, Yu-qian Zhao*, Sheng-hui Liao, Miao Liao, Yan Chen, Xi-yao Liu. Liver vessel segmentation based on centerline constraint and intensity model. Biomedical Signal Processing and Control, 2018, 45: 192-201. (JCR Q2, IF: 3.88)
[23] Ye-Zhan Zeng, Yu-Qian Zhao*, Ping Tang, Miao Liao, Yi-xiong Liang, Sheng-hui Liao, Bei-Ji Zou. Liver Vessel Segmentation and Identification Based on Oriented Flux Symmetry and Graph Cuts. Computer Methods and Programs in Biomedicine, 2017, 150: 31-39. (JCR Q1, IF: 5.428)
[22] Miao Liao, Yu-qian Zhao*, Xi-yao Liu, Yezhan Zeng, Beiji Zou, Xiaofang Wang, Frank Y. Shih. Automatic liver segmentation from abdominal CT volumes using graph cuts and border marching. Computer Methods and Programs in Biomedicine. 2017, 143: 1-12. (JCR Q1, IF: 5.428)
[21] Tingting Zhang, Guangtao Ma, Yan Zhang, Hongda Huo, Yuqian Zhao*. miR-216b inhibits glioma cell migration and invasion through suppression of FoxM1. Oncology Reports, 2017, 38(3): 1751-1759. (JCR Q3, IF: 3.906)
[20] Tingting Zhang, Guangtao Ma, Yan Zhang, Hongda Huo, Yuqian Zhao*. miR-599 inhibits proliferation and invasion of glioma by targeting periostin. Biotechnology Letters, 2017, 39(9): 1325-1333. (JCR Q3, IF: 2.461)
[19] Hui Wu, Bei-ji Zou, Yu-qian Zhao*, Jianjing Guo. Scene text detection using adaptive color reduction, adjacent character model and hybrid verification strategy. Visual Computer, 2017, 33(1): 113-126. (JCR Q2, IF: 2.601)
[18] Miao Liao, Yu Qian Zhao*, Wei Wang, Ye Zhan Zeng, Bei Ji Zou, Frank Y. Shih. Efficient liver segmentation in CT images based on graph cuts and bottleneck detection. Physica Medica, 2016, 32(11): 1383-1396. (JCR Q3, IF: 2.685)
[17] Hui Wu, Beiji Zou, Yu-qian Zhao*, Zailiang Chen, Chengzhang Zhu, Jianjing Guo. Natural scene text detection by multi-scale adaptive color clustering and non-text filtering. Neurocomputing, 2016, 214: 1011-1025. (JCR Q1, IF: 5.719)
[16] Xiaofang Wang, Boyang Gao, Simon Masnou, Liming Chen, Isaac Theurkauff, Cécile Cottin-Bizonne, Yuqian Zhao, Frank Shih. Active Colloids Segmentation and Tracking. Pattern Recognition, 2016, 60, 177-188. (JCR Q1, IF: 7.74)
[15] Ye Zhan Zeng, Yu Qian Zhao*, Miao Liao, Bei Ji Zou, Xiao Fang Wang, Wei Wang. Liver Vessel Segmentation Based On Extreme Learning Machine. Physica Medica, 2016, 32(5): 709-716. (JCR Q3, IF: 2.685)
[14] Miao Liao, Yu-qian Zhao*, Xiang-hua Li, Peishan Dai, Xiaowen Xu, Jun-kai Zhang, Bei-ji Zou. Automatic segmentation for cell images based on bottleneck detection and ellipse fitting. Neurocomputing, 2016, 173(3): 615-622. (JCR Q1, IF: 5.719)
[13] Hui Wu, Bei-ji Zou, Yu-qian Zhao*, Hong-pu Fu. An Automatic Video Text Detection Method Based on BP-Adaboost. Multimedia Tools and Applications, 2016, 75(13): 7715-7738. (JCR Q2, IF: 2.757)
[12] Peishan Dai, Hanyuan Luo, Hanwei Sheng, Yali Zhao, Ling Li, Jing Wu, Yuqian Zhao*, Kenji Suzuki. A New Approach to Segment Both Main and Peripheral Retinal Vessels Based on Gray-Voting and Gaussian Mixture Model. Plos One, 10(6): e0127748, 2015. (JCR Q2, IF: 3.24)
[11] Yu Qian Zhao, Xiao Hong Wang, Xiao Fang Wang, Frank Y. Shih. Retinal Vessel Segmentation Based on Level Set and Region Growing. Pattern Recognition, 2014, 47(7): 2437-2446. (JCR Q1, IF: 7.74)
[10] Miao Liao, Yu Qian Zhao*, Xiao Hong Wang, Pei Shan Dai. Retinal Vessel Enhancement Based on Multi Scale Top-hat Transformation and Histogram Fitting Stretching. Optics & Laser Technology, 2014, 58(1): 56-62. (JCR Q1, IF: 3.867)
[9] Yuqian Zhao, Miao Liao, Frank Y. Shih, Yun Q. Shi. Tampered Region Detection of Inpainting JPEG Images. Optik - International Journal for Light and Electron Optics, 2013, 124(16): 2487-2492. (JCR Q2, IF: 2.443)
[8] Huang Fang-jun, Zhao Yu-qian*. New key-stream generation scheme based on chaotic systems. Journal of Central South University, 2013, 20(7): 1904-1908. (JCR Q3, IF: 1.716)
[7] Ying Guo, Yuqian Zhao*. High-efficient quantum secret sharing based on the Chinese remainder theorem via the orbital angular momentum entanglement analysis. Quantum Information Processing, 2013, 12(2): 1125-1139. (JCR Q1, IF: 2.349
[6] Shan Ling, Bin Chen, Yongjin Zhou, Wan-Zhang Yang, Yu-Qian Zhao, Lei Wang and Yong-Ping Zheng. An efficient framework for estimation of muscle fiber orientation using ultrasonography. BioMedical Engineering OnLine, 2013, 12: 98: 1-17. (JCR Q3, IF: 2.819)
[5] Shan Ling, Yongjin Zhou, Ye Chen, Yu-Qian Zhao, Lei Wang, Yong-Ping Zheng. Automatic Tracking of Aponeuroses and Estimation of Muscle Thickness in Ultrasonography: A Feasibility Study. IEEE Journal of Biomedical and Health Informatics, 2013, 17(6): 1031-1038. (JCR Q1, IF: 5.772)
[4] Yuqian Zhao, Xiaofang Wang, Frank Y. Shih, Gang Yu. A Level-set Method Based on Global and Local Regions for Image Segmentation. International Journal of Pattern Recognition and Artificial Intelligence, 2012, 26(1): 94-109. (JCR Q4, IF: 1.373)
[3] Xiang Hua Li, Yu Qian Zhao*, Miao Liao, Frank Y. Shih, Yun Q. Shi. Detection of tampered region for JPEG images by using mode-based first digit features. EURASIP Journal on Advances in Signal Processing, 2012, 190: 1-10. (JCR Q3, IF: 1.63)
[2] Li Xiang-hua, Zhao Yu-qian*, Liao Miao, Shih Frank Y, Shi Yun Q. Passive detection of copy-paste forgery between JPEG images. Journal of Central South University, 2012, 19(10): 2839-2851. (JCR Q3, IF: 1.716)
[1] Zhao Yu-qian, Jiang Qing-lai, Wang Wei-gang, Du Ke, Hu Guo-rong. Effect of electrolytic MnO2 pretreatment on performances of the as-prepared LiMn2O4. Transactions of Nonferrous Metals Society of China, 2012, 22(5): 1146-1150. (JCR Q1, IF: 2.917)