| Machine learning techniques for biomedical image segmentation: an overview of technical aspects and introduction to state‐of‐art applications H Seo, M Badiei Khuzani, V Vasudevan, C Huang, H Ren, R Xiao, X Jia, ... Medical physics 47 (5), e148-e167, 2020 | 300 | 2020 |
| 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 | 248 | 2016 |
| 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 | 180 | 2019 |
| Automatic polyp recognition in colonoscopy images using deep learning and two-stage pyramidal feature prediction X Jia, X Mai, Y Cui, Y Yuan, X Xing, H Seo, L Xing, MQH Meng IEEE Transactions on Automation Science and Engineering 17 (3), 1570-1584, 2020 | 108 | 2020 |
| Enhanced luminescence of novel Y2Zr2O7: Dy3+ phosphors by Li+ co-doping Q Du, G Zhou, J Zhou, X Jia, H Zhou Journal of Alloys and Compounds 552, 152-156, 2013 | 93 | 2013 |
| Faster R-CNN with classifier fusion for automatic detection of small fruits X Mai, H Zhang, X Jia, MQH Meng IEEE Transactions on Automation Science and Engineering 17 (3), 1555-1569, 2020 | 90 | 2020 |
| Wireless capsule endoscopy: A new tool for cancer screening in the colon with deep-learning-based polyp recognition X Jia, X Xing, Y Yuan, L Xing, MQH Meng Proceedings of the IEEE 108 (1), 178-197, 2019 | 90 | 2019 |
| Gastrointestinal bleeding detection in wireless capsule endoscopy images using handcrafted and CNN features X Jia, MQH Meng 2017 39th annual international conference of the IEEE Engineering in …, 2017 | 76 | 2017 |
| A survey of the development of biomimetic intelligence and robotics J Wang, W Chen, X Xiao, Y Xu, C Li, X Jia, MQH Meng Biomimetic Intelligence and Robotics 1, 100001, 2021 | 74 | 2021 |
| A survey and analysis of task allocation algorithms in multi-robot systems X Jia, MQH Meng 2013 IEEE International Conference on Robotics and biomimetics (ROBIO), 2280 …, 2013 | 69 | 2013 |
| A study on automated segmentation of blood regions in wireless capsule endoscopy images using fully convolutional networks X Jia, MQH Meng 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 52 | 2017 |
| Bleeding detection in wireless capsule endoscopy image video using superpixel-color histogram and a subspace KNN classifier X Xing, X Jia, MQH Meng 2018 40th annual international conference of the ieee engineering in …, 2018 | 44 | 2018 |
| Hrenet: A hard region enhancement network for polyp segmentation Y Shen, X Jia, MQH Meng Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 35 | 2021 |
| Deep neural network enhanced sampling-based path planning in 3D space J Wang, X Jia, T Zhang, N Ma, MQH Meng IEEE Transactions on Automation Science and Engineering 19 (4), 3434-3443, 2021 | 33 | 2021 |
| A saliency-aware hybrid dense network for bleeding detection in wireless capsule endoscopy images X Xing, Y Yuan, X Jia, MQH Meng 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 21 | 2019 |
| GI bleeding detection in wireless capsule endoscopy images based on pattern recognition and a MapReduce framework X Jia, L Cai, J Liu, W Dai, MQH Meng 2016 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2016 | 18 | 2016 |
| Real-time detection of bladder cancer using augmented cystoscopy with deep learning: a pilot study TC Chang, E Shkolyar, F Del Giudice, O Eminaga, T Lee, M Laurie, ... Journal of Endourology, 2023 | 13 | 2023 |
| Tumor detection under cystoscopy with transformer-augmented deep learning algorithm X Jia, E Shkolyar, MA Laurie, O Eminaga, JC Liao, L Xing Physics in Medicine & Biology 68 (16), 165013, 2023 | 10 | 2023 |
| LBA-20 automated cystoscopic detection of bladder cancer using deep-learning E Shkolyar, X Jia, L Xing, J Liao Journal of Urology 201, e1000-e1001, 2019 | 10 | 2019 |
| PolypMixNet: Enhancing semi-supervised polyp segmentation with polyp-aware augmentation X Jia, Y Shen, J Yang, R Song, W Zhang, MQH Meng, JC Liao, L Xing Computers in Biology and Medicine 170, 108006, 2024 | 9 | 2024 |
Max Q.-H. MengSouthern University of Science and TechnologyПотвърден имейл адрес: ieee.org