| Optimizing survival analysis of XGBoost for ties to predict disease progression of breast cancer P Liu, B Fu, SX Yang, L Deng, X Zhong, H Zheng IEEE Transactions on Biomedical Engineering 68 (1), 148-160, 2020 | 95 | 2020 |
| Predicting invasive disease-free survival for early stage breast cancer patients using follow-up clinical data B Fu, P Liu, J Lin, L Deng, K Hu, H Zheng IEEE Transactions on Biomedical Engineering 66 (7), 2053-2064, 2018 | 66 | 2018 |
| Multidimensional machine learning personalized prognostic model in an early invasive breast cancer population-based cohort in china: algorithm validation study X Zhong, T Luo, L Deng, P Liu, K Hu, D Lu, D Zheng, C Luo, Y Xie, J Li, ... JMIR Medical Informatics 8 (11), e19069, 2020 | 14 | 2020 |
| DSCA: A dual-stream network with cross-attention on whole-slide image pyramids for cancer prognosis P Liu, B Fu, F Ye, R Yang, L Ji Expert Systems with Applications 227, 120280, 2023 | 13 | 2023 |
| AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images P Liu, L Ji, F Ye, B Fu Medical Image Analysis 91, 103020, 2024 | 11 | 2024 |
| HitBoost: survival analysis via a multi-output gradient boosting decision tree method P Liu, B Fu, SX Yang IEEE Access 7, 56785-56795, 2019 | 10 | 2019 |
| Deepgcnmil: Multi-head attention guided multi-instance learning approach for whole-slide images survival analysis using graph convolutional networks F Wu, P Liu, B Fu, F Ye Proceedings of the 2022 14th International Conference on Machine Learning …, 2022 | 6 | 2022 |
| Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification P Liu, L Ji, X Zhang, F Ye IEEE Transactions on Medical Imaging 43 (5), 1841-1852, 2024 | 5 | 2024 |
| GraphLSurv: A scalable survival prediction network with adaptive and sparse structure learning for histopathological whole-slide images P Liu, L Ji, F Ye, B Fu Computer Methods and Programs in Biomedicine 231, 107433, 2023 | 5 | 2023 |
| Protodiv: Prototype-guided division of consistent pseudo-bags for whole-slide image classification R Yang, P Liu, L Ji arXiv preprint arXiv:2304.06652, 2023 | 3 | 2023 |
| ProDiv: Prototype-driven consistent pseudo-bag division for whole-slide image classification R Yang, P Liu, L Ji Computer Methods and Programs in Biomedicine 249, 108161, 2024 | | 2024 |
| Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation P Liu, L Ji Proceedings of the 41st International Conference on Machine Learning (ICML), 2024 | | 2024 |
| RNN-Based Multiple Instance Learning for the Classification of Histopathology Whole Slide Images G Ji, P Liu International Conference on Medical Imaging and Computer-Aided Diagnosis …, 2023 | | 2023 |
| Accurate Prognostic Prediction for Breast Cancer Based on Histopathological Images by Artificial Intelligence F Ye, B Fu, Y Li, P Liu, H Chen, S Cao, L Zhang, L Zhang, W Yang, Z Tang, ... | | |
Simon X. YangUniversity of GuelphVerified email at uoguelph.ca
Simon X. YangUniversity of GuelphVerified email at uoguelph.ca