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ORCIDYu Qian Zhao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j43]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 Syst. Appl. 260: 125485 (2025)- [j42]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 Syst. Appl. 261: 125562 (2025) - 2024
- [j41]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. Artif. Intell. Medicine 156: 102961 (2024) - [j40]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. Knowl. Based Syst. 299: 111985 (2024) - [j39]Baifan Chen, Ruyi Zhu, Lingli Yu, Yuqian Zhao:
Few-shot classification with intra-class co-salient learning and holistic metric. Neural Comput. Appl. 36(23): 14327-14339 (2024) - [j38]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 169: 352-364 (2024) - [j37]Wen Ou, Biao Luo, Bingchuan Wang, Yuqian Zhao:
Modular hierarchical reinforcement learning for multi-destination navigation in hybrid crowds. Neural Networks 171: 474-484 (2024) - [j36]Baihang Song, Huiwen Jiang, Jian Liu, Yao Yu, Jingmin Luan, Yuqian Zhao, Yi Wang, Jingyuan Zhang, Zhao Liu, Ning Zhang, Xin Zhu, Zhenhe Ma:
Deep Learning-Assisted Real-Time Wall Shear Stress Measurement on Chicken Embryo Heart Using Spectral Domain Optical Coherence Tomography. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j35]Xinning Yi, Biao Luo, Yuqian Zhao:
Neural Network-Based Robust Guaranteed Cost Control for Image-Based Visual Servoing of Quadrotor. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12693-12705 (2024) - 2023
- [j34]Wei Zhou, Yuqian Zhao, Fan Zhang, Biao Luo, Lingli Yu, Baifan Chen, Chunhua Yang, Weihua Gui:
TSDTVOS: Target-guided spatiotemporal dual-stream transformers for video object segmentation. Neurocomputing 555: 126582 (2023) - [j33]Lajos Horváth, Gregory Rice, Yuqian Zhao:
Testing for changes in linear models using weighted residuals. J. Multivar. Anal. 198: 105210 (2023) - [j32]Xiaoyang Xiao, Yuqian Zhao, Fan Zhang, Biao Luo, Ling-Li Yu, Baifan Chen, Chunhua Yang:
BASeg: Boundary aware semantic segmentation for autonomous driving. Neural Networks 157: 460-470 (2023) - [j31]Yuqian Zhao, Zhibo Zhu, Huiwen Jiang, Yao Yu, Jian Liu, Jingmin Luan, Yi Wang, Zhenhe Ma:
The Stress Phase Angle Measurement Using Spectral Domain Optical Coherence Tomography. Sensors 23(17): 7597 (2023) - [j30]Fan Zhang, Hanwei Peng, Lingli Yu, Yuqian Zhao, Baifan Chen:
Dual-Modality Space-Time Memory Network for RGBT Tracking. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j29]Shuan-hu Di, Yu-Qian Zhao, Miao Liao, Fan Zhang, Xiong Li:
TD-Net: A Hybrid End-to-End Network for Automatic Liver Tumor Segmentation From CT Images. IEEE J. Biomed. Health Informatics 27(3): 1163-1172 (2023) - [c9]Yan Lu, Miao Liao, Shuanhu Di, Yuqian Zhao:
Single Image Dehazing Network Based on Serial Feature Attention. ICANN (3) 2023: 123-135 - [c8]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. ICCV 2023: 21270-21281 - [c7]Yuqian Zhao, Dongdong Zhang, Chengyu Sun:
Text Spotting of Electrical Diagram Based on Improved PP-OCRv3. ICONIP (14) 2023: 125-136 - [i5]Yilin Wen, Biao Luo, Yuqian Zhao:
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence Modeling. CoRR abs/2301.02445 (2023) - [i4]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. CoRR abs/2301.12291 (2023) - 2022
- [j28]Qiang Ji, Dayong Zhang, Yuqian Zhao:
Intra-day co-movements of crude oil futures: China and the international benchmarks. Ann. Oper. Res. 313(1): 77-103 (2022) - [j27]Shuan-hu Di, Yuqian Zhao, Miao Liao, Zhen Yang, Ye-zhan Zeng:
Automatic liver tumor segmentation from CT images using hierarchical iterative superpixels and local statistical features. Expert Syst. Appl. 203: 117347 (2022) - [j26]Bocong Gao, Yuqian Zhao, Fan Zhang, Biao Luo, Chunhua Yang:
Video object segmentation based on multi-level target models and feature integration. Neurocomputing 492: 396-407 (2022) - [j25]Xinning Yi, Biao Luo, Yuqian Zhao:
Adaptive dynamic programming-based visual servoing control for quadrotor. Neurocomputing 504: 251-261 (2022) - [j24]Lajos Horváth, Gregory Rice, Yuqian Zhao:
Change point analysis of covariance functions: A weighted cumulative sum approach. J. Multivar. Anal. 189: 104877 (2022) - 2021
- [j23]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. Biomed. Signal Process. Control. 68: 102670 (2021) - [j22]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. Biomed. Signal Process. Control. 70: 102976 (2021) - [j21]Shao-di Yang, Yu-qian Zhao, Fan Zhang, Miao Liao, Zhen Yang, Yan-jin Wang, Ling-Li Yu:
An efficient two-step multi-organ registration on abdominal CT via deep-learning based segmentation. Biomed. Signal Process. Control. 70: 103027 (2021) - [j20]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. Comput. Biol. Medicine 139: 105030 (2021) - [j19]Xiyao Liu, Yifan Wang, Ziqiang Sun, Lei Wang, Rongchang Zhao, Yuesheng Zhu, Beiji Zou, Yu-qian Zhao, Hui Fang:
Robust and discriminative zero-watermark scheme based on invariant features and similarity-based retrieval to protect large-scale DIBR 3D videos. Inf. Sci. 542: 263-285 (2021) - [j18]Xiaohong Wang, Xudong Jiang, Henghui Ding, Yuqian Zhao, Jun Liu:
Knowledge-aware deep framework for collaborative skin lesion segmentation and melanoma recognition. Pattern Recognit. 120: 108075 (2021) - [j17]Shaodi Yang, Yuqian Zhao, Miao Liao, Fan Zhang:
An Unsupervised Learning-Based Multi-Organ Registration Method for 3D Abdominal CT Images. Sensors 21(18): 6254 (2021) - [c6]Fuchang Han, Shenghui Liao, Renzhong Wu, Shu Liu, Yuqian Zhao, Xiantao Shen:
Radiological Identification of Hip Joint Centers from X-ray Images Using Fast Deep Stacked Network and Dynamic Registration Graph. ICANN (3) 2021: 647-659 - [c5]Fuchang Han, Shenghui Liao, Siming Yuan, Renzhong Wu, Yuqian Zhao, Yu Xie:
Explainable Prediction Of Renal Cell Carcinoma From Contrast-Enhanced CT Images Using Deep Convolutional Transfer Learning And The Shapley Additive Explanations Approach. ICIP 2021: 3802-3806 - [c4]Fuchang Han, Shenghui Liao, Renzhong Wu, Shu Liu, Yuqian Zhao, Yu Xie:
Explainable Predictions of Renal Cell Carcinoma with Interpretable Tree Ensembles from Contrast-enhanced CT Images. IJCNN 2021: 1-8 - [c3]Fuchang Han, Shenghui Liao, Yiyong Jiang, Shu Liu, Yuqian Zhao, Xiantao Shen:
Adaptive Prediction of Hip Joint Center from X-ray Images Using Generalized Regularized Extreme Learning Machine and Globalized Bounded Nelder-Mead Strategy. PRICAI (1) 2021: 183-196 - [i3]Xiaohong Wang, Xudong Jiang, Henghui Ding, Yuqian Zhao, Jun Liu:
Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition. CoRR abs/2106.03455 (2021) - 2020
- [j16]Yang Li, Yu-qian Zhao, Fan Zhang, Miao Liao, Ling-Li Yu, Baifan Chen, Yan-jin Wang:
Liver segmentation from abdominal CT volumes based on level set and sparse shape composition. Comput. Methods Programs Biomed. 195: 105533 (2020)
2010 – 2019
- 2019
- [j15]Yixiong Liang, Yuan Mao, Zhihong Tang, Meng Yan, Yu-qian Zhao, Jianfeng Liu:
Efficient misalignment-robust multi-focus microscopical images fusion. Signal Process. 161: 111-123 (2019) - 2018
- [j14]Ye-zhan Zeng, Yu-qian Zhao, Shenghui Liao, Miao Liao, Yan Chen, Xiyao Liu:
Liver vessel segmentation based on centerline constraint and intensity model. Biomed. Signal Process. Control. 45: 192-201 (2018) - [j13]Ye-zhan Zeng, Shenghui Liao, Ping Tang, Yu-qian Zhao, Miao Liao, Yan Chen, Yixiong Liang:
Automatic liver vessel segmentation using 3D region growing and hybrid active contour model. Comput. Biol. Medicine 97: 63-73 (2018) - [i2]Yixiong Liang, Yuan Mao, Zhihong Tang, Meng Yan, Yu-qian Zhao, Jianfeng Liu:
Efficient Misalignment-Robust Multi-Focus Microscopical Images Fusion. CoRR abs/1812.08915 (2018) - 2017
- [j12]Miao Liao, Yu-qian Zhao, Xiyao Liu, Ye-zhan Zeng, Beiji Zou, Xiaofeng Wang, Frank Y. Shih:
Automatic liver segmentation from abdominal CT volumes using graph cuts and border marching. Comput. Methods Programs Biomed. 143: 1-12 (2017) - [j11]Ye-zhan Zeng, Yu-qian Zhao, Ping Tang, Miao Liao, Yixiong Liang, Shenghui Liao, Beiji Zou:
Liver vessel segmentation and identification based on oriented flux symmetry and graph cuts. Comput. Methods Programs Biomed. 150: 31-39 (2017) - [j10]Hui Wu, Beiji Zou, Yu-qian Zhao, Jianjing Guo:
Scene text detection using adaptive color reduction, adjacent character model and hybrid verification strategy. Vis. Comput. 33(1): 113-126 (2017) - [c2]Jianhua Pang, Yuqian Zhao, Fengchao Lu, Zijian Liu, Ping Bi:
Global analysis of a dengue fever model with quarantine. ICNC-FSKD 2017: 978-982 - [i1]Xiyao Liu, Yifan Wang, Ziqiang Sun, Beiji Zou, Yu-qian Zhao, Yuesheng Zhu:
A Robust Zero-Watermark Scheme with Similarity-based Retrieval for Copyright Protection of 3D Video. CoRR abs/1712.09480 (2017) - 2016
- [j9]Miao Liao, Yu-qian Zhao, Xiang-hua Li, Peishan Dai, Xiao-wen Xu, Jun-kai Zhang, Beiji Zou:
Automatic segmentation for cell images based on bottleneck detection and ellipse fitting. Neurocomputing 173: 615-622 (2016) - [j8]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 214: 1011-1025 (2016) - [j7]Hui Wu, Beiji Zou, Yu-qian Zhao, Hong-pu Fu:
An automatic video text detection method based on BP-adaboost. Multim. Tools Appl. 75(13): 7715-7738 (2016) - [j6]Xiaofang Wang, Boyang Gao, Simon Masnou, Liming Chen, Isaac Theurkauff, Cécile Cottin-Bizonne, Yuqian Zhao, Frank Y. Shih:
Active colloids segmentation and tracking. Pattern Recognit. 60: 177-188 (2016) - 2014
- [j5]Yu Qian Zhao, Xiao-Hong Wang, Xiaofang Wang, Frank Y. Shih:
Retinal vessels segmentation based on level set and region growing. Pattern Recognit. 47(7): 2437-2446 (2014) - 2013
- [j4]Ying Guo, Yuqian Zhao:
High-efficient quantum secret sharing based on the Chinese remainder theorem via the orbital angular momentum entanglement analysis. Quantum Inf. Process. 12(2): 1125-1139 (2013) - [j3]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 J. Biomed. Health Informatics 17(6): 1031-1038 (2013) - 2012
- [j2]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 J. Adv. Signal Process. 2012: 190 (2012) - [j1]Yu Qian Zhao, Xiaofang Wang, Frank Y. Shih, Gang Yu:
A Level-Set Method Based on Global and Local Regions for Image Segmentation. Int. J. Pattern Recognit. Artif. Intell. 26(1) (2012) - 2010
- [c1]Yu Qian Zhao, Frank Y. Shih, Yun Q. Shi:
Passive Detection of Paint-Doctored JPEG Images. IWDW 2010: 1-11
Coauthor Index
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