| A review on real‐time 3D ultrasound imaging technology Q Huang, Z Zeng BioMed research international 2017 (1), 6027029, 2017 | 362 | 2017 |
| Machine learning in ultrasound computer‐aided diagnostic systems: a survey Q Huang, F Zhang, X Li BioMed research international 2018 (1), 5137904, 2018 | 231 | 2018 |
| Breast ultrasound image segmentation: a survey Q Huang, Y Luo, Q Zhang International journal of computer assisted radiology and surgery 12, 493-507, 2017 | 231 | 2017 |
| Sonomyography: Monitoring morphological changes of forearm muscles in actions with the feasibility for the control of powered prosthesis YP Zheng, MMF Chan, J Shi, X Chen, QH Huang Medical engineering & physics 28 (5), 405-415, 2006 | 221 | 2006 |
| Assessment of muscle fatigue using sonomyography: Muscle thickness change detected from ultrasound images J Shi, YP Zheng, X Chen, QH Huang Medical engineering & physics 29 (4), 472-479, 2007 | 208 | 2007 |
| Segmentation of breast ultrasound image with semantic classification of superpixels Q Huang, Y Huang, Y Luo, F Yuan, X Li Medical Image Analysis 61, 101657, 2020 | 204 | 2020 |
| A novel feature extraction method using pyramid histogram of orientation gradients for smile recognition Y Bai, L Guo, L Jin, Q Huang 2009 16th IEEE International Conference on Image Processing (ICIP), 3305-3308, 2009 | 198 | 2009 |
| Robotic arm based automatic ultrasound scanning for three-dimensional imaging Q Huang, J Lan, X Li IEEE Transactions on Industrial Informatics 15 (2), 1173-1182, 2018 | 180 | 2018 |
| On combining biclustering mining and AdaBoost for breast tumor classification Q Huang, Y Chen, L Liu, D Tao, X Li IEEE Transactions on Knowledge and Data Engineering 32 (4), 728-738, 2019 | 164 | 2019 |
| Development of a portable 3D ultrasound imaging system for musculoskeletal tissues QH Huang, YP Zheng, MH Lu, ZR Chi Ultrasonics 43 (3), 153-163, 2005 | 152 | 2005 |
| Deep smoke segmentation F Yuan, L Zhang, X Xia, B Wan, Q Huang, X Li Neurocomputing 357, 248-260, 2019 | 150 | 2019 |
| Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis Q Huang, F Yang, L Liu, X Li Information Sciences 314, 293-310, 2015 | 134 | 2015 |
| Continuous monitoring of sonomyography, electromyography and torque generated by normal upper arm muscles during isometric contraction: Sonomyography assessment for arm muscles J Shi, YP Zheng, QH Huang, X Chen IEEE transactions on biomedical engineering 55 (3), 1191-1198, 2008 | 131 | 2008 |
| A robust graph-based segmentation method for breast tumors in ultrasound images QH Huang, SY Lee, LZ Liu, MH Lu, LW Jin, AH Li Ultrasonics 52 (2), 266-275, 2012 | 122 | 2012 |
| Dynamic monitoring of forearm muscles using one-dimensional sonomyography system JY Guo, YP Zheng, QH Huang, X Chen Journal of rehabilitation research and development 45 (1), 187-196, 2008 | 107 | 2008 |
| Fully automatic three-dimensional ultrasound imaging based on conventional B-scan Q Huang, B Wu, J Lan, X Li IEEE transactions on biomedical circuits and systems 12 (2), 426-436, 2018 | 98 | 2018 |
| Segmentation information with attention integration for classification of breast tumor in ultrasound image Y Luo, Q Huang, X Li Pattern Recognition 124, 108427, 2022 | 97 | 2022 |
| GA-SIFT: A new scale invariant feature transform for multispectral image using geometric algebra Y Li, W Liu, X Li, Q Huang, X Li Information Sciences 281, 559-572, 2014 | 88 | 2014 |
| A wave-shaped deep neural network for smoke density estimation F Yuan, L Zhang, X Xia, Q Huang, X Li IEEE transactions on image processing 29, 2301-2313, 2019 | 82 | 2019 |
| Personalized video recommendation through tripartite graph propagation B Chen, J Wang, Q Huang, T Mei Proceedings of the 20th ACM international conference on Multimedia, 1133-1136, 2012 | 80 | 2012 |
Xuelong Li （李学龙）TeleAI, China Telecom （中国电信人工智能研究院 TeleAI）Potvrđena adresa e-pošte na ieee.org
