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ORCIDYuanwei Li
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
- 2024
[j12]Jiyong Tan
, Jiawang Li, Yuanwei Li, Bing Li, Yuquan Leng, Yiming Rong, Chenglong Fu:
Autonomous Trajectory Planning for Ultrasound-Guided Real-Time Tracking of Suspicious Breast Tumor Targets. IEEE Trans Autom. Sci. Eng. 21(3): 2478-2493 (2024)- [j11]Yifan Zhao, Changhong Wang, Xin-yu Ouyang, Jiapeng Zhong, Nannan Zhao, Yuanwei Li:
MIAF-Net: A Multi-Information Attention Fusion Network for Field Traffic Sign Detection. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [i8]Yuanwei Li, Elizaveta Ivanova, Martins Bruveris:
FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model. CoRR abs/2409.00556 (2024) - 2023
- [j10]Sulin Wang, Chengqiang Zhao, Lingling Huang, Yuanwei Li, Ruochen Li:
Current status, application, and challenges of the interpretability of generative adversarial network models. Comput. Intell. 39(2): 283-314 (2023) - [j9]Demiao Yu, Xiaoran Huang, Hengyi Zang, Yuanwei Li, Yuchen Qin, Daoyong Li:
Multi-Source Data and Machine Learning-Based Refined Governance for Responding to Public Health Emergencies in Beijing: A Case Study of COVID-19. ISPRS Int. J. Geo Inf. 12(2): 69 (2023) - [j8]Jiyong Tan, Bing Li, Yuanwei Li, Bin Li, Xinxing Chen, Jiayi Wu, Baoming Luo, Yuquan Leng, Yiming Rong, Chenglong Fu:
A Flexible and Fully Autonomous Breast Ultrasound Scanning System. IEEE Trans Autom. Sci. Eng. 20(3): 1920-1933 (2023) - [j7]Yuanwei Li, En Zhu, Hang Chen, Jiyong Tan, Li Shen:
Dense Crosstalk Feature Aggregation for Classification and Localization in Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(6): 2683-2695 (2023) - [c12]Jiyong Tan, Hui Qin, Xinxing Chen, Jiawang Li, Yuanwei Li, Bing Li, Yuquan Leng, Chenglong Fu:
Point Cloud Segmentation of Breast Ultrasound Regions to be Scanned by Fusing 2D Image Instance Segmentation and Keypoint Detection. ICARM 2023: 669-674 - 2022
- [c11]Hongguang Yang, Xudong Wang, Jiyong Tan, Gen Liu, Xi Sun, Yuanwei Li:
A Breast Ultrasound Tumor Detection Framework Using Convolutional Neural Networks. BIC 2022: 72-78 - [c10]Yuanwei Li, Sikui Zhang, Guoyi Fu:
Forest fire modeling and analysis based on K-means clustering algorithm and time series forecasting. BIC 2022: 310-316 - [c9]Yuanwei Li:
Research on the Identification Method of Dangerous Goods in Security Inspection Images Based on Deep Learning. SSIP 2022: 23-28
2010 – 2019
- 2019
- [j6]Amir Alansary, Ozan Oktay, Yuanwei Li, Loïc Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, Daniel Rueckert:
Evaluating reinforcement learning agents for anatomical landmark detection. Medical Image Anal. 53: 156-164 (2019) - 2018
- [j5]Yuanwei Li, Chin Pang Ho, Matthieu Toulemonde, Navtej Chahal, Roxy Senior, Meng-Xing Tang:
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model. IEEE Trans. Medical Imaging 37(5): 1081-1091 (2018) - [c8]Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert:
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. EMBC 2018: 714-717 - [c7]Juan J. Cerrolaza, Yuanwei Li, Carlo Biffi, Alberto Gómez, Jacqueline Matthew, Matthew Sinclair, Chandni Gupta, Caroline L. Knight, Daniel Rueckert:
Fetal Skull Reconstruction via Deep Convolutional Autoencoders. EMBC 2018: 887-890 - [c6]Juan J. Cerrolaza, Matthew Sinclair, Yuanwei Li, Alberto Gómez, Enzo Ferrante, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Daniel Rueckert:
Deep learning with ultrasound physics for fetal skull segmentation. ISBI 2018: 564-567 - [c5]Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert:
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. MICCAI (1) 2018: 277-285 - [c4]Juan J. Cerrolaza, Yuanwei Li, Carlo Biffi, Alberto Gómez, Matthew Sinclair, Jacqueline Matthew, Caronline Knight, Bernhard Kainz, Daniel Rueckert:
3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks. MICCAI (1) 2018: 383-391 - [c3]Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert:
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network. MICCAI (1) 2018: 392-400 - [c2]Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert:
Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network. MICCAI (1) 2018: 563-571 - [i7]Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert:
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. CoRR abs/1804.09102 (2018) - [i6]Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert:
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. CoRR abs/1806.03228 (2018) - [i5]Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert:
Fast Multiple Landmark Localisation Using a Patch-based Iterative Network. CoRR abs/1806.06987 (2018) - [i4]Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert:
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network. CoRR abs/1806.07486 (2018) - [i3]Yuanwei Li, Chin Pang Ho, Navtej Chahal, Roxy Senior, Meng-Xing Tang:
Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model. CoRR abs/1806.07490 (2018) - [i2]Yuanwei Li, Chin Pang Ho, Matthieu Toulemonde, Navtej Chahal, Roxy Senior, Meng-Xing Tang:
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model. CoRR abs/1806.07497 (2018) - 2017
- [j4]En Zhu, Yuanwei Li, Yanling Shi:
Fast Optical Flow Estimation Without Parallel Architectures. IEEE Trans. Circuits Syst. Video Technol. 27(11): 2322-2332 (2017) - [i1]Yuanwei Li:
Pyramidal Gradient Matching for Optical Flow Estimation. CoRR abs/1704.03217 (2017) - 2016
- [c1]Yuanwei Li, Chin Pang Ho, Navtej Chahal, Roxy Senior, Meng-Xing Tang:
Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model. MICCAI (3) 2016: 158-165 - 2014
- [j3]Yuanwei Li, En Zhu, Xinzhong Zhu, Jianping Yin, Jianmin Zhao:
Counting Pedestrian with Mixed Features and Extreme Learning Machine. Cogn. Comput. 6(3): 462-476 (2014) - [j2]Yuanwei Li, En Zhu, Jianmin Zhao, Jianping Yin, Xiangfu Zhao:
A Fast Simple Optical Flow Computation Approach Based on the 3-D Gradient. IEEE Trans. Circuits Syst. Video Technol. 24(5): 842-853 (2014) - 2010
- [j1]Shihua Wang, Jianliang Ai, Weihui Dai, Yuanwei Li:
Robust Model for the Design of Controller in Saucer UAV. J. Softw. 5(7): 753-760 (2010)
Coauthor Index
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