| An efficient neural network approach to dynamic robot motion planning SX Yang, M Meng Neural networks 13 (2), 143-148, 2000 | 374 | 2000 |
| Improving RGB-D SLAM in dynamic environments: A motion removal approach Y Sun, M Liu, MQH Meng Robotics and Autonomous Systems 89, 110-122, 2017 | 368 | 2017 |
| Neural RRT*: Learning-based optimal path planning J Wang, W Chi, C Li, C Wang, MQH Meng IEEE Transactions on Automation Science and Engineering 17 (4), 1748-1758, 2020 | 353 | 2020 |
| Neural network approaches to dynamic collision-free trajectory generation SX Yang, M Meng IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 31 …, 2001 | 289 | 2001 |
| Impedance control with adaptation for robotic manipulations WS Lu, QH Meng IEEE Transactions on Robotics and Automation 7 (3), 408-415, 1991 | 286 | 1991 |
| Computer-aided detection of bleeding regions for capsule endoscopy images B Li, MQH Meng IEEE Transactions on biomedical engineering 56 (4), 1032-1039, 2009 | 281 | 2009 |
| A cubic 3-axis magnetic sensor array for wirelessly tracking magnet position and orientation C Hu, M Li, S Song, R Zhang, MQH Meng IEEE Sensors Journal 10 (5), 903-913, 2010 | 255 | 2010 |
| A deep convolutional neural network for bleeding detection in wireless capsule endoscopy images X Jia, MQH Meng 2016 38th annual international conference of the IEEE engineering in …, 2016 | 237 | 2016 |
| Texture analysis for ulcer detection in capsule endoscopy images B Li, MQH Meng Image and Vision computing 27 (9), 1336-1342, 2009 | 221 | 2009 |
| Computer-aided bleeding detection in WCE video Y Fu, W Zhang, M Mandal, MQH Meng IEEE journal of biomedical and health informatics 18 (2), 636-642, 2013 | 203 | 2013 |
| Tumor recognition in wireless capsule endoscopy images using textural features and SVM-based feature selection B Li, MQH Meng IEEE Transactions on Information Technology in Biomedicine 16 (3), 323-329, 2012 | 202 | 2012 |
| Efficient magnetic localization and orientation technique for capsule endoscopy C Hu, MQ Meng, M Mandal 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005 | 198 | 2005 |
| Deep learning for polyp recognition in wireless capsule endoscopy images Y Yuan, MQH Meng Medical physics 44 (4), 1379-1389, 2017 | 195 | 2017 |
| Real-time collision-free motion planning of a mobile robot using a neural dynamics-based approach SX Yang, MQH Meng IEEE Transactions on Neural Networks 14 (6), 1541-1552, 2003 | 193 | 2003 |
| Motion removal for reliable RGB-D SLAM in dynamic environments Y Sun, M Liu, MQH Meng Robotics and Autonomous Systems 108, 115-128, 2018 | 179 | 2018 |
| Computer-based detection of bleeding and ulcer in wireless capsule endoscopy images by chromaticity moments B Li, MQH Meng Computers in biology and medicine 39 (2), 141-147, 2009 | 172 | 2009 |
| A linear algorithm for tracing magnet position and orientation by using three-axis magnetic sensors C Hu, MQH Meng, M Mandal IEEE transactions on magnetics 43 (12), 4096-4101, 2007 | 168 | 2007 |
| Bleeding frame and region detection in the wireless capsule endoscopy video Y Yuan, B Li, MQH Meng IEEE journal of biomedical and health informatics 20 (2), 624-630, 2015 | 167 | 2015 |
| A bioinspired neurodynamics-based approach to tracking control of mobile robots SX Yang, A Zhu, G Yuan, MQH Meng IEEE Transactions on Industrial Electronics 59 (8), 3211-3220, 2011 | 164 | 2011 |
| Augmented bladder tumor detection using deep learning E Shkolyar, X Jia, TC Chang, D Trivedi, KE Mach, MQH Meng, L Xing, ... European urology 76 (6), 714-718, 2019 | 152 | 2019 |
Shuang SONGHarbin Institutes of Technology, Shenzhen在 hit.edu.cn 的电子邮件经过验证
