These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
225 related articles for article (PubMed ID: 36637188)
1. CAMR: cross-aligned multimodal representation learning for cancer survival prediction. Wu X; Shi Y; Wang M; Li A Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36637188 [TBL] [Abstract][Full Text] [Related]
2. HFBSurv: hierarchical multimodal fusion with factorized bilinear models for cancer survival prediction. Li R; Wu X; Li A; Wang M Bioinformatics; 2022 Apr; 38(9):2587-2594. PubMed ID: 35188177 [TBL] [Abstract][Full Text] [Related]
3. Multimodal adversarial representation learning for breast cancer prognosis prediction. Du X; Zhao Y Comput Biol Med; 2023 May; 157():106765. PubMed ID: 36963355 [TBL] [Abstract][Full Text] [Related]
4. GPDBN: deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction. Wang Z; Li R; Wang M; Li A Bioinformatics; 2021 Sep; 37(18):2963-2970. PubMed ID: 33734318 [TBL] [Abstract][Full Text] [Related]
5. Pancancer survival prediction using a deep learning architecture with multimodal representation and integration. Fan Z; Jiang Z; Liang H; Han C Bioinform Adv; 2023; 3(1):vbad006. PubMed ID: 36845202 [TBL] [Abstract][Full Text] [Related]
6. Agnostic-Specific Modality Learning for Cancer Survival Prediction from Multiple Data. Liu H; Shi Y; Xu Y; Li A; Wang M IEEE J Biomed Health Inform; 2024 Oct; PP():. PubMed ID: 39405146 [TBL] [Abstract][Full Text] [Related]
7. SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival. Pan L; Peng Y; Li Y; Wang X; Liu W; Xu L; Liang Q; Peng S Comput Biol Med; 2024 Apr; 172():108301. PubMed ID: 38492453 [TBL] [Abstract][Full Text] [Related]
8. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations. Liu H; Zhuang Y; Song E; Xu X; Ma G; Cetinkaya C; Hung CC Med Phys; 2023 Sep; 50(9):5460-5478. PubMed ID: 36864700 [TBL] [Abstract][Full Text] [Related]
9. Multi-modal fusion network with intra- and inter-modality attention for prognosis prediction in breast cancer. Liu H; Shi Y; Li A; Wang M Comput Biol Med; 2024 Jan; 168():107796. PubMed ID: 38064843 [TBL] [Abstract][Full Text] [Related]
10. Deep Hierarchical Multimodal Metric Learning. Wang D; Ding A; Tian Y; Wang Q; He L; Gao X IEEE Trans Neural Netw Learn Syst; 2024 Nov; 35(11):15787-15799. PubMed ID: 37402203 [TBL] [Abstract][Full Text] [Related]
11. MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning. Li Y; Guo Z; Gao X; Wang G Bioinformatics; 2023 Dec; 39(12):. PubMed ID: 38070154 [TBL] [Abstract][Full Text] [Related]
12. Integrating multimodal data through interpretable heterogeneous ensembles. Li YC; Wang L; Law JN; Murali TM; Pandey G Bioinform Adv; 2022; 2(1):vbac065. PubMed ID: 36158455 [TBL] [Abstract][Full Text] [Related]
13. A Multimodal Affinity Fusion Network for Predicting the Survival of Breast Cancer Patients. Guo W; Liang W; Deng Q; Zou X Front Genet; 2021; 12():709027. PubMed ID: 34490038 [TBL] [Abstract][Full Text] [Related]
14. Enhancing the prediction of disease-gene associations with multimodal deep learning. Luo P; Li Y; Tian LP; Wu FX Bioinformatics; 2019 Oct; 35(19):3735-3742. PubMed ID: 30825303 [TBL] [Abstract][Full Text] [Related]
15. Learning Cross-Modal Common Representations by Private-Shared Subspaces Separation. Xu X; Lin K; Gao L; Lu H; Shen HT; Li X IEEE Trans Cybern; 2022 May; 52(5):3261-3275. PubMed ID: 32780706 [TBL] [Abstract][Full Text] [Related]
16. MIF: Multi-Shot Interactive Fusion Model for Cancer Survival Prediction Using Pathological Image and Genomic Data. Shi Y; Wang M; Liu H; Zhao F; Li A; Chen X IEEE J Biomed Health Inform; 2024 Feb; PP():. PubMed ID: 38324434 [TBL] [Abstract][Full Text] [Related]
17. TGSA: protein-protein association-based twin graph neural networks for drug response prediction with similarity augmentation. Zhu Y; Ouyang Z; Chen W; Feng R; Chen DZ; Cao J; Wu J Bioinformatics; 2022 Jan; 38(2):461-468. PubMed ID: 34559177 [TBL] [Abstract][Full Text] [Related]
18. Joint learning-based feature reconstruction and enhanced network for incomplete multi-modal brain tumor segmentation. Diao Y; Li F; Li Z Comput Biol Med; 2023 Sep; 163():107234. PubMed ID: 37450967 [TBL] [Abstract][Full Text] [Related]
19. Learning Disentangled Representation for Multimodal Cross-Domain Sentiment Analysis. Zhang Y; Zhang Y; Guo W; Cai X; Yuan X IEEE Trans Neural Netw Learn Syst; 2023 Oct; 34(10):7956-7966. PubMed ID: 35188893 [TBL] [Abstract][Full Text] [Related]
20. Integrating multi-omics data by learning modality invariant representations for improved prediction of overall survival of cancer. Tong L; Wu H; Wang MD Methods; 2021 May; 189():74-85. PubMed ID: 32763377 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]