| Breast cancer histopathological image classification using a hybrid deep neural network R Yan, F Ren, Z Wang, L Wang, T Zhang, Y Liu, X Rao, C Zheng, F Zhang Methods 173, 52-60, 2020 | 286 | 2020 |
| Richer fusion network for breast cancer classification based on multimodal data R Yan, F Zhang, X Rao, Z Lv, J Li, L Zhang, S Liang, Y Li, F Ren, C Zheng, ... BMC Medical Informatics and Decision Making 21, 1-15, 2021 | 39 | 2021 |
| A hybrid convolutional and recurrent deep neural network for breast cancer pathological image classification R Yan, F Ren, Z Wang, L Wang, Y Ren, Y Liu, X Rao, C Zheng, F Zhang 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 31 | 2018 |
| Point cloud registration using representative overlapping points L Zhu, D Liu, C Lin, R Yan, F Gómez-Fernández, N Yang, Z Feng arXiv preprint arXiv:2107.02583, 2021 | 29 | 2021 |
| Integration of multimodal data for breast cancer classification using a hybrid deep learning method R Yan, F Ren, X Rao, B Shi, T Xiang, L Zhang, Y Liu, J Liang, C Zheng, ... Intelligent Computing Theories and Application: 15th International …, 2019 | 23 | 2019 |
| Detection of small changed regions in remote sensing imagery using convolutional neural network Z Cao, M Wu, R Yan, F Zhang, X Wan IOP Conference Series: Earth and Environmental Science 502 (1), 012017, 2020 | 18 | 2020 |
| Predicting tumor mutational burden from liver cancer pathological images using convolutional neural network H Zhang, F Ren, Z Wang, X Rao, L Li, J Hao, R Yan, J Luo, M Du, F Zhang 2019 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2019 | 18 | 2019 |
| TransSurv: transformer-based survival analysis model integrating histopathological images and genomic data for colorectal cancer Z Lv, Y Lin, R Yan, Y Wang, F Zhang IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022 | 16 | 2022 |
| Pg-tfnet: transformer-based fusion network integrating pathological images and genomic data for cancer survival analysis Z Lv, Y Lin, R Yan, Z Yang, Y Wang, F Zhang 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 13 | 2021 |
| NANet: Nuclei-aware network for grading of breast cancer in HE stained pathological images R Yan, J Li, X Rao, Z Lv, C Zheng, J Dou, X Wang, F Ren, F Zhang 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 12 | 2020 |
| Nuclei-guided network for breast cancer grading in he-stained pathological images R Yan, F Ren, J Li, X Rao, Z Lv, C Zheng, F Zhang Sensors 22 (11), 4061, 2022 | 11 | 2022 |
| Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning R Yan, Y Shen, X Zhang, P Xu, J Wang, J Li, F Ren, D Ye, SK Zhou Medical Image Analysis 87, 102824, 2023 | 10 | 2023 |
| Vp-detector: A 3d multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms Y Hao, X Wan, R Yan, Z Liu, J Li, S Zhang, X Cui, F Zhang Computer Methods and Programs in Biomedicine 221, 106871, 2022 | 9 | 2022 |
| Joint region-attention and multi-scale transformer for microsatellite instability detection from whole slide images in gastrointestinal cancer Z Lv, R Yan, Y Lin, Y Wang, F Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 7 | 2022 |
| Divide-and-attention network for HE-stained pathological image classification R Yan, Z Yang, J Li, C Zheng, F Zhang Biology 11 (7), 982, 2022 | 4 | 2022 |
| Cerebrovascular segmentation algorithm based on focused multi-Gaussians model and weighted 3D Markov random field Z Lv, R Yan, X Liu, Z Wu, Y Zhu, S Sun, F Zhang, X Wang, X Wan 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 2 | 2019 |
| Sparse and hierarchical transformer for survival analysis on whole slide images R Yan, Z Lv, Z Yang, S Lin, C Zheng, F Zhang IEEE Journal of Biomedical and Health Informatics, 2023 | 1 | 2023 |
| 基于深度学习和组织病理图像的癌症分类研究进展 颜锐， 陈丽萌， 李锦涛， 任菲 协和医学杂志 12 (5), 742-748, 2021 | 1 | 2021 |
| Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification R Yan, J Li, SK Zhou, Z Lv, X Zhang, X Rao, C Zheng, F Ren, F Zhang Intelligent Computing Theories and Application: 17th International …, 2021 | 1 | 2021 |
| A disentangled representation-based multimodal fusion framework integrating pathomics and radiomics for KRAS mutation detection in colorectal cancer Z Lv, R Yan, Y Lin, L Gao, F Zhang, Y Wang Big Data Mining and Analytics, 2024 | | 2024 |
