CAGCL: Predicting Short- and Long-Term Breast Cancer Survival with Cross-Modal Attention and Graph Contrastive Learning
DOI: 10.1109/JBHI.2024.3449756
Journal Publications (Total: 10)
Breast cancer prognosis through the use of multi-modal classifiers: Current state of the art and the way forward.
DOI: 10.1093/bfgp/elae015
Integrative prognostic modeling for breast cancer: Unveiling optimal multimodal combinations using graph convolutional networks and calibrated random forest
DOI: 10.1016/j.asoc.2024.111379
Deviation-support based fuzzy ensemble of multi-modal deep learning classifiers for breast cancer prognosis prediction
DOI: 10.1038/s41598-023-47543-5
Breast cancer survival prognosis using the graph convolutional network with Choquet fuzzy integral
DOI: 10.1038/s41598-023-40341-z
Improving the robustness and stability of a machine learning model for breast cancer prognosis through the use of multi-modal classifiers
DOI: 10.1038/s41598-023-30143-8
Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation
DOI: 10.1109/TCBB.2022.3198879
Generative Incomplete Multi-View Prognosis Predictor for Breast Cancer: GIMPP
DOI: 10.1109/TCBB.2021.3090458
Multi-Modal Classification for Human Breast Cancer Prognosis Prediction: Proposal of Deep-Learning Based Stacked Ensemble Model
DOI: 10.1109/TCBB.2020.3018467
Multi-modal advanced deep learning architectures for breast cancer survival prediction
DOI: 10.1016/j.knosys.2021.106965