| Deep learning in medical ultrasound analysis: a review S Liu, Y Wang, X Yang, B Lei, L Liu, SX Li, D Ni, T Wang Engineering 5 (2), 261-275, 2019 | 676 | 2019 |
| Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multi-scale Convolutional Network and Graph Partitioning Y Song, L Zhang, S Chen, D Ni, B Lei, T Wang IEEE Transactions on Biomedical Engineering, 2015 | 332 | 2015 |
| FAT-Net: Feature adaptive transformers for automated skin lesion segmentation H Wu, S Chen, G Chen, W Wang, B Lei, Z Wen Medical image analysis 76, 102327, 2022 | 276 | 2022 |
| Accurate cervical cell segmentation from overlapping clumps in pap smear images Y Song, EL Tan, X Jiang, JZ Cheng, D Ni, S Chen, B Lei, T Wang IEEE transactions on medical imaging 36 (1), 288-300, 2016 | 247 | 2016 |
| Breast cancer detection and diagnosis using mammographic data: Systematic review SJS Gardezi, A Elazab, B Lei, T Wang Journal of medical Internet research 21 (7), e14464, 2019 | 228 | 2019 |
| Melanoma recognition in dermoscopy images via aggregated deep convolutional features Z Yu, X Jiang, F Zhou, J Qin, D Ni, S Chen, B Lei, T Wang IEEE Transactions on Biomedical Engineering 66 (4), 1006-1016, 2018 | 227 | 2018 |
| Blind and robust audio watermarking scheme based on SVD–DCT BY Lei, Y Soon, Z Li Signal Processing 91 (8), 1973-1984, 2011 | 219 | 2011 |
| Skin lesion segmentation via generative adversarial networks with dual discriminators B Lei, Z Xia, F Jiang, X Jiang, Z Ge, Y Xu, J Qin, S Chen, T Wang, S Wang Medical Image Analysis 64, 101716, 2020 | 213 | 2020 |
| Deep learning framework for Alzheimer’s disease diagnosis via 3D-CNN and FSBi-LSTM C Feng, A Elazab, P Yang, T Wang, F Zhou, H Hu, X Xiao, B Lei IEEE Access 7, 63605-63618, 2019 | 211 | 2019 |
| FUIQA: fetal ultrasound image quality assessment with deep convolutional networks L Wu, JZ Cheng, S Li, B Lei, T Wang, D Ni IEEE transactions on cybernetics 47 (5), 1336-1349, 2017 | 211 | 2017 |
| A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition B Lei, Y Soon, F Zhou, Z Li, H Lei Signal processing 92 (9), 1985-2001, 2012 | 183 | 2012 |
| Scs-net: A scale and context sensitive network for retinal vessel segmentation H Wu, W Wang, J Zhong, B Lei, Z Wen, J Qin Medical Image Analysis 70, 102025, 2021 | 163 | 2021 |
| Automatic scoring of multiple semantic attributes with multi-task feature leverage: a study on pulmonary nodules in CT images S Chen, J Qin, X Ji, B Lei, T Wang, D Ni, JZ Cheng IEEE transactions on medical imaging 36 (3), 802-814, 2016 | 159 | 2016 |
| Reversible watermarking scheme for medical image based on differential evolution B Lei, Tan, S Ee-Leng, Chen, D Ni, T Wang, H Lei Expert Systems with Applications, 2013 | 159 | 2013 |
| A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei Y Song, L Zhang, S Chen, D Ni, B Li, Y Zhou, B Lei, T Wang 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 143 | 2014 |
| Dense deconvolutional network for skin lesion segmentation H Li, X He, F Zhou, Z Yu, D Ni, S Chen, T Wang, B Lei IEEE journal of biomedical and health informatics 23 (2), 527-537, 2018 | 142 | 2018 |
| Robust SVD-Based Audio Watermarking Scheme With DifferentialEvolution Optimization B Lei, TEL Soon, Ing Yan IEEE Transactions on Audio, Speech, and Language Processing, 2368 - 2378, 2013 | 142 | 2013 |
| Bidirectional mapping generative adversarial networks for brain MR to PET synthesis S Hu, B Lei, S Wang, Y Wang, Z Feng, Y Shen IEEE Transactions on Medical Imaging 41 (1), 145-157, 2021 | 140 | 2021 |
| Fine perceptive GANs for brain MR image super-resolution in wavelet domain S You, B Lei, S Wang, CK Chui, AC Cheung, Y Liu, M Gan, G Wu, Y Shen IEEE transactions on neural networks and learning systems, 2022 | 137 | 2022 |
| Tensorizing GAN with high-order pooling for Alzheimer’s disease assessment W Yu, B Lei, MK Ng, AC Cheung, Y Shen, S Wang IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4945-4959, 2021 | 124 | 2021 |
Feng ZhouAssistant Professor at University of Michigan, Dearborn在 gatech.edu 的电子邮件经过验证
![Jie-Zhi Cheng [鄭介誌]](https://images.xueshu.lanfanshu.cn/citations?view_op=small_photo&user=tSpNhZcAAAAJ&citpid=17)
