| Selective feature aggregation network with area-boundary constraints for polyp segmentation Y Fang, C Chen, Y Yuan, K Tong Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 378 | 2019 |
| Predicting lymph node metastasis using histopathological images based on multiple instance learning with deep graph convolution Y Zhao, F Yang, Y Fang, H Liu, N Zhou, J Zhang, J Sun, S Yang, B Menze, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 202 | 2020 |
| Source-free unsupervised domain adaptation: A survey Y Fang, PT Yap, W Lin, H Zhu, M Liu Neural Networks, 106230, 2024 | 88 | 2024 |
| A survey on deep-learning approaches for vehicle trajectory prediction in autonomous driving J Liu, X Mao, Y Fang, D Zhu, MQH Meng 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO), 978-985, 2021 | 71 | 2021 |
| Interactive cycling system and method of using muscle signals to control cycling pattern stimulation intensity KY Tong, WC Leung, XJ Wang, S Chen, YQ Fang US Patent 10,722,745, 2020 | 53 | 2020 |
| A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images X Wang*, Y Fang*, S Yang, D Zhu, M Wang, J Zhang, K Tong, X Han Medical Image Analysis 68, 101914, 2021 | 46 | 2021 |
| ABC-Net: Area-boundary constraint network with dynamical feature selection for colorectal polyp segmentation Y Fang, D Zhu, J Yao, Y Yuan, KY Tong IEEE Sensors Journal 21 (10), 11799-11809, 2020 | 44 | 2020 |
| Unsupervised cross-domain functional MRI adaptation for automated major depressive disorder identification Y Fang, M Wang, GG Potter, M Liu Medical image analysis 84, 102707, 2023 | 40 | 2023 |
| Automatic segmentation of pneumothorax in chest radiographs based on a two-stage deep learning method X Wang, S Yang, J Lan, Y Fang, J He, M Wang, J Zhang, X Han IEEE Transactions on Cognitive and Developmental Systems 14 (1), 205-218, 2020 | 36 | 2020 |
| Sk-unet: An improved u-net model with selective kernel for the segmentation of lge cardiac mr images X Wang*, S Yang*, Y Fang*, Y Wei, M Wang, J Zhang, X Han IEEE Sensors Journal 21 (10), 11643-11653, 2021 | 27 | 2021 |
| OCR-RCNN: An accurate and efficient framework for elevator button recognition D Zhu, Y Fang, Z Min, D Ho, MQH Meng IEEE Transactions on Industrial Electronics 69 (1), 582-591, 2021 | 24 | 2021 |
| CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images X Wang*, Y Fang*, S Yang, D Zhu, M Wang, J Zhang, J Zhang, J Cheng, ... Neurocomputing 527, 100-109, 2023 | 22 | 2023 |
| A large-scale dataset for benchmarking elevator button segmentation and character recognition J Liu, Y Fang, D Zhu, N Ma, J Pan, MQH Meng 2021 IEEE International Conference on Robotics and Automation (ICRA), 14018 …, 2021 | 13 | 2021 |
| Excitation comparison between multi-site stimulation using network-based tDCS and focal stimulation using high-definition tDCS C Chen, Y Fang, X Wang, SC Bao, Z Tang, RK Tong 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 12 | 2019 |
| Deep learning model for predicting the pathological complete response to neoadjuvant chemoradiotherapy of locally advanced rectal cancer X Lou, N Zhou, L Feng, Z Li, Y Fang, X Fan, Y Ling, H Liu, X Zou, J Wang, ... Frontiers in Oncology 12, 807264, 2022 | 11 | 2022 |
| Detecting type 2 diabetes mellitus cognitive impairment using whole-brain functional connectivity J Wu, Y Fang, X Tan, S Kang, X Yue, Y Rao, H Huang, M Liu, S Qiu, ... Scientific Reports 13 (1), 3940, 2023 | 10 | 2023 |
| Online state-time trajectory planning using timed-esdf in highly dynamic environments D Zhu, T Zhou, J Lin, Y Fang, MQH Meng 2022 International Conference on Robotics and Automation (ICRA), 3949-3955, 2022 | 10 | 2022 |
| DeepNoise: signal and noise disentanglement based on classifying fluorescent microscopy images via deep learning S Yang*, T Shen*, Y Fang*, X Wang, J Zhang, W Yang, J Huang, X Han Genomics, Proteomics & Bioinformatics 20 (5), 989-1001, 2022 | 9 | 2022 |
| Domain-prior-induced structural MRI adaptation for clinical progression prediction of subjective cognitive decline M Yu, H Guan, Y Fang, L Yue, M Liu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 9 | 2022 |
| What kind of brain structural connectivity remodeling can relate to residual motor function after stroke? W Wong*, Y Fang*, WCW Chu, L Shi, K Tong Frontiers in neurology 10, 1111, 2019 | 9 | 2019 |
