StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images B Fu, M Zhang, J He, Y Cao, Y Guo, R Wang Computer Methods and Programs in Biomedicine 221, 106924, 2022 | 40 | 2022 |
HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentation B Fu, Y Peng, J He, C Tian, X Sun, R Wang Computers in Biology and Medicine 170, 108013, 2024 | 6 | 2024 |
TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinoma X Sun, W Li, B Fu, Y Peng, J He, L Wang, T Yang, X Meng, J Li, J Wang, ... Computer Methods and Programs in Biomedicine 242, 107789, 2023 | 6 | 2023 |
Learn less, infer more: Learning in the fourier domain for quantitative susceptibility mapping J He, L Wang, Y Cao, R Wang, Y Zhu Frontiers in Neuroscience 16, 837721, 2022 | 4 | 2022 |
SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images J He, M Zhang, W Li, Y Peng, B Fu, C Liu, J Wang, R Wang Computers in Biology and Medicine 169, 107866, 2024 | 3 | 2024 |
3D convolutional network with edge detection for prostate gland and tumor segmentation on T2WI and ADC C Yan, F Liu, Y Peng, Y Zhao, J He, R Wang Biomedical Signal Processing and Control 90, 105883, 2024 | 2 | 2024 |
msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping J He, Y Peng, B Fu, Y Zhu, L Wang, R Wang NeuroImage 275, 120181, 2023 | 2 | 2023 |