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Wang R., Zhou H., Fu P., et al. A Multiscale Attentional Unet Model for Automatic Segmentation in Medical Ultrasound Images[J]. Ultrasonic imaging, 2023, V45(4): 159-174 (SCI, Doi: 10.1177/01617346231169789)
辛佳雯,王睿,谢艳霞,孙军华.基于关键点检测的航空发动机螺栓安装缺陷自动化检测方法[J].仪器仪表学报,2023,44(03):98-106.DOI:10.19650/j.cnki.cjsi.J2210752.
Siyang Fan, Rui Wang, Jingwen Xu, et al. Singular Value Decomposition (SVD) Co-training: A Semi-supervised Method for Object Detection[A]. International Conference on Artificial Intelligence and Computer Science, AICS[C].2022.
Haoyuan Zhou, Rui Wang, et al. A deep learning-based cascade automatic classification system for malignant thyroid nodule recognition in ultrasound image [A]. 2022 International Conference on Artificial Intelligence and Computer Science [C]. IOP, 2022, 2363: 012029.
Zesen Zou, Rui Wang, Jialing Zou, and Ran Huang "Robust descriptor for key-point detection and matching in color images with radial distortion," Journal of Electronic Imaging 31(2), 023038 (28 April 2022). https://doi.org/10.1117/1.JEI.31.2.023038
Wang, R.; Zou, J.; Wen, J.Z. SFA-MDEN: Semantic-Feature-Aided Monocular Depth Estimation Network Using Dual Branches. Sensors 2021, 21, 5476. https://doi.org/10.3390/s21165476
Wang Rui, Zhou Meng, et al. Automatic Malignant Thyroid Nodule Recognition in Ultrasound Images by Variational Auto-encoder and CNNs[J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 137: 30-31.【PDF】
Meng Zhou, Rui Wang, Peng Fu, et al. Automatic Malignant Thyroid Nodule Recognition in Ultrasound Images based on Deep Learning[A].2020 International Conference on Energy, Environment and Bioengineering, ICEEB[C].2020 .【PDF】
Rui Wang , Wei Li , Rui Li , Liang Zhang .Automatic blur type classification via ensemble SVM. Signal Processing: Image Communication[J]. Signal Processing: Image Communication, 2019, 71:24-25.
Rui Wang, Jingwen Xu, Tony X Han. Object Detection with Pruned Alexnet and Extended Data. Signal Processing: Image Communication[J]. Signal Processing: Image Communication, 2019, 70:145-156.【PDF】
Rui Wang, Ran Huang, Jiaoru Yang. Facilitating PTZ Camera Auto-Calibration to Be Noise Resilient With Two Images[J]. IEEE ACCESS, 2019, 7:155612-155624.
Rui Wang, Ran Huang, Zimin Li. A Parallel Binocular System for 3D Pose Measurement by a Single PTZ Camera. 2019 IEEE International Conference on Imaging Systems and Techniques, IST 2019, December 8-10, 2019. Abu Dhabi, UAE.
Rui Wang, Hui Shen, Meng Zhou. Ultrasound Nerve Segmentation of Brachial Plexus Based on Optimized ResU-Net. 2019 IEEE International Conference on Imaging Systems and Techniques, IST 2019, December 8-10, 2019. Abu Dhabi, UAE.
Rui Wang, Runnan Qin, Jialing Zou, Liang Zhang. AGR-FCN: Adversarial Generated Region based on Fully Convolutional Networks for Single- and Multiple-Instance Object Detection. 2019 IEEE International Conference on Imaging Systems and Techniques, IST 2019, December 8-10, 2019. Abu Dhabi, UAE.
Qin Runnan,Wang Rui. Generative deep deconvolutional neural network for increasing and diversifying training data.2018 IEEE International Conference on Imaging Systems and Techniques, IST 2018, October 16-18, 2018. Kraków, Poland.【PDF】
Rui Wang, Jingwen Xu, Tony X Han. Surprisingly easy network compression and data extension. International Conference on Visual Communication and Image Processing. VCIP2018, December 8-13, Taichung, China.【PDF】
Rui Wang, Ying Liang, Jing Wen Xu, Zhi Hai He. Cascading classifier with discriminative multi-features for a specific 3D object real-time detection[J]. Visual Computer,2018(1):1-16.
Rui Wang, Hui Shen, Zuntun Wu et al, Quantitative Ultrasound: SVM Approach for skeletal Muscle Atrophy Auxiliary Diagnosis [J]. Basic & Clinical Pharmacology & Toxicology. 2018, 123:17-17.
Rui Wang, Ran Huang, Yuan Gao, Haiyan Sun. Sampling Method for GMM Curve Fitting in Multi Object Tracking, 2017 IEEE International Conference on Imaging Systems and Techniques (IST),2017:28-32.
Rui Wang, Jingwen Xu, Yan Zhao. An Adaptive Wavelet Transform Application to Multiple Targets Tracking in the Air, 2017 IEEE International Conference on Imaging Systems and Techniques (IST),2017:224-229.
Rui Wang, Wei Li, Runnan Qin, Jinzhong Wu. Blur Image Classification based on Deep Learning, 2017 IEEE International Conference on Imaging Systems and Techniques (IST),2017:330-335.
Rui Wang, Suizhou Feng. Automatic Measurement Based on Stereo Vision System Using a Single PTZ Camera, 2017 IEEE International Conference on Imaging Systems and Techniques (IST),2017:161-166.
Wang R, Dong H, Han T X, et al. Robust tracking via monocular active vision for an intelligent teaching system[J]. Visual Computer, 2016, 32(11):1-16.
Wang R, Li R, Sun H. Haze removal based on multiple scattering model with superpixel algorithm[J]. Signal Processing, 2016, 127(C):24-36.
Jiaoru Yang, Rui Wang, Rui Xu. Salient Feature Detection for optical flow computation[C]. The 2016 IEEE Chinese Guidance Navigation and Control Conference.(CCNCC2016),2016,pp:2473-2476.(DOI:10.1109/CGNCC.2016.7829181).
Rui Wang, Rui Li, Yanyan Lei, Quing Zhu, Tuning to Optimize SVM Approach for Assisting Ovarian Cancer Diagnosis with Photoacoustic Imaging, Bio-Medical Materials and Engineering, vol. 26, no. s1, pp. S975-S981, 2015. （Q4 ,IF：0.988,1.062(5) ).
Rui Wang, Zhengdan Zhu,Liang Zhang. Improving scale invariant feature transform-based descriptor with shape-color alliance robust feature. Journal of Electronic Imaging 24(3), pp:033002-1-10. (May/Jun 2015) [DOI:10.1117/1.JEI.24.3.033002](Q3 IF:0.616 0.84(5)).
Wang R, Liang Y, Liang Y. Color image super-resolution reconstruction based on POCS with edge preserving[C]// Applied Optics and Photonics China (AOPC2015). International Society for Optics and Photonics, 2015.pp:96750X-1-7.
Wang R, Liang Y, Li H, et al. Exploration and Practice on Signal Curriculum Group Construction of Instrument Science[M]// Frontier and Future Development of Information Technology in Medicine and Education. Springer Netherlands, 2014:2793-2798.
Wang R, Mei L. Intelligent Tracking Teaching System based on monocular active vision[C]// IEEE International Conference on Imaging Systems and Techniques. IEEE, 2014:431-436.
Wang R, Xu R, Li H. Design and application of LabVIEW courseware in the signal processing teaching[C]// International Conference on Computer Science & Education. IEEE, 2012:1365-1368.
Rui W, Yan Z, Tang Y, et al. A spatio-temporal filtering method for motion estimation[C]// International Conference on Computer Science & Education. IEEE, 2011:830-834.
Rui W, Liu Y, Yan Z. Kill two birds with one stone: Boosting graduate students' abilities in simulation by realization dynamic demonstration experiments[C]// International Conference on Computer Science & Education. IEEE, 2011:645-648.
Wang R, Zhao Y, Liu Y, et al. A target tracking algorithm based on the continuous wavelet transform of spatio-temporal processing block[C]// International Conference on Electronics and Optoelectronics. IEEE, 2011:V2-95-V2-98.
Wang R, Yuan Y. Image quality assessment using full-parameter singular value decomposition[J]. Optical Engineering, 2011, 50(5):057005-1-057005-9.
Wang R, Zhao Y, Zhang C, et al. Practice on cultivating computer application ability for the Opto-electronics Engineering students in graduation design[C]// International Conference on Computer Science and Education. IEEE, 2010:393-398.
Wang R, Zhang H. Design methodology for high-speed video processing system based on signal integrity analysis[J]. Proceedings of SPIE - The International Society for Optical Engineering, 2009, 7383:738328-738328-6.
Li Y, Wang R, Zhang C, et al. An accurate method for alignment of polarization-maintaining fiber with CCD micro-imaging system[J]. Proceedings of SPIE - The International Society for Optical Engineering, 2009, 7384:73841R-73841R-7.
Wang R. A synthetic method for image contour distortion correction[J]. Proceedings of SPIE - The International Society for Optical Engineering, 2008, 7127:93.
Wang R, Zhang G, Yang P. Simulation on Vision Based Landing a UAV on a Ship[C]// Asian Simulation Conference/the, International Conference on System Simulation and Scientific Computing. 2005.
Wang R. Optical flow based 3D motion estimation for autonomous landing of a UAV on deck[C]// International Conference on Space Information Technology. International Society for Optics and Photonics, 2006:59854H-59854H-6.
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