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| Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks | Dec 10, 2020 | BIG-bench Machine LearningPrediction | CodeCode Available | 0 | 5 |
| Multi-modality fusion using canonical correlation analysis methods: Application in breast cancer survival prediction from histology and genomics | Nov 27, 2021 | PredictionSurvival Prediction | CodeCode Available | 0 | 5 |
| Multimodal Survival Modeling in the Age of Foundation Models | May 12, 2025 | HallucinationSurvival Prediction | CodeCode Available | 0 | 5 |
| Masked Pre-Training of Transformers for Histology Image Analysis | Apr 14, 2023 | Multiple Instance LearningPrognosis | CodeCode Available | 0 | 5 |
| Large-scale benchmark study of survival prediction methods using multi-omics data | Mar 7, 2020 | PredictionSurvival Prediction | CodeCode Available | 0 | 5 |
| Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images | May 26, 2022 | PredictionSurvival Prediction | CodeCode Available | 0 | 5 |
| Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification | Sep 1, 2021 | ClassificationMulti-class Classification | CodeCode Available | 0 | 5 |
| Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction | Jul 20, 2018 | Brain Tumor SegmentationPrediction | CodeCode Available | 0 | 5 |
| Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge | Nov 5, 2018 | Brain Tumor SegmentationPrognosis | CodeCode Available | 0 | 5 |
