RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification H Chu, Q Sun, J Li, Y Chen, L Zhang, T Guan, A Han, Y He International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 1 | 2024 |
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis J Li, Y Chen, H Chu, Q Sun, T Guan, A Han, Y He IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 1 | 2024 |
NcIEMIL: Rethinking Decoupled Multiple Instance Learning Framework for Histopathological Slide Classification S Qiehe, D Jiang, J Li, R Yan, Y He, T Guan, Z Cheng Medical Imaging with Deep Learning, 2024 | 1 | 2024 |
Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation Q Zhang, J Li, P Liao, J Hu, T Guan, A Han, Y He arXiv preprint arXiv:2406.18054, 2024 | | 2024 |
HIQ: One-Shot Network Quantization for Histopathological Image Classification X Chen, R Yan, Y Wang, J Li, J Cheng, T Guan, Y He ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
DeepTree: Pathological Image Classification through Imitating Tree-like Strategies of Pathologists J Li, J Cheng, L Meng, H Yan, Y He, H Shi, T Guan, A Han IEEE Transactions on Medical Imaging, 2023 | | 2023 |
Classification of Myopic Maculopathy Images with Self-supervised Driven Multiple Instance Learning Network J Li, J Soon, Q Zhang, Q Zhang, Y He International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
The Whole Pathological Slide Classification via Weakly Supervised Learning Q Sun, J Li, J Xu, J Cheng, T Guan, Y He arXiv preprint arXiv:2307.06344, 2023 | | 2023 |