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For: Lipkova J, Chen RJ, Chen B, Lu MY, Barbieri M, Shao D, Vaidya AJ, Chen C, Zhuang L, Williamson DFK, Shaban M, Chen TY, Mahmood F. Artificial intelligence for multimodal data integration in oncology. Cancer Cell 2022;40:1095-110. [PMID: 36220072 DOI: 10.1016/j.ccell.2022.09.012] [Cited by in Crossref: 13] [Cited by in F6Publishing: 2] [Article Influence: 13.0] [Reference Citation Analysis]
Number Citing Articles
1 Zhao J, Zhao B, Song X, Lyu C, Chen W, Xiong Y, Wei DQ. Subtype-DCC: decoupled contrastive clustering method for cancer subtype identification based on multi-omics data. Brief Bioinform 2023;24:bbad025. [PMID: 36702755 DOI: 10.1093/bib/bbad025] [Reference Citation Analysis]
2 Ong W, Zhu L, Tan YL, Teo EC, Tan JH, Kumar N, Vellayappan BA, Ooi BC, Quek ST, Makmur A, Hallinan JTPD. Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic Review. Cancers 2023;15:1837. [DOI: 10.3390/cancers15061837] [Reference Citation Analysis]
3 Rösler W, Altenbuchinger M, Baeßler B, Beissbarth T, Beutel G, Bock R, von Bubnoff N, Eckardt JN, Foersch S, Loeffler CML, Middeke JM, Mueller ML, Oellerich T, Risse B, Scherag A, Schliemann C, Scholz M, Spang R, Thielscher C, Tsoukakis I, Kather JN. An overview and a roadmap for artificial intelligence in hematology and oncology. J Cancer Res Clin Oncol 2023. [PMID: 36920563 DOI: 10.1007/s00432-023-04667-5] [Reference Citation Analysis]
4 Hörst F, Ting S, Liffers S, Pomykala KL, Steiger K, Albertsmeier M, Angele MK, Lorenzen S, Quante M, Weichert W, Egger J, Siveke JT, Kleesiek J. Histology-based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning.. [DOI: 10.1101/2023.03.01.23286553] [Reference Citation Analysis]
5 Shao J, Ma J, Zhang Q, Li W, Wang C. Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology. Semin Cancer Biol 2023;91:1-15. [PMID: 36801447 DOI: 10.1016/j.semcancer.2023.02.006] [Reference Citation Analysis]
6 Tan P, Chen X, Zhang H, Wei Q, Luo K. Artificial intelligence aids in development of nanomedicines for cancer management. Semin Cancer Biol 2023;89:61-75. [PMID: 36682438 DOI: 10.1016/j.semcancer.2023.01.005] [Reference Citation Analysis]
7 Carrillo-Perez F, Pizurica M, Zheng Y, Shen J, Gevaert O. RNA-to-image multi-cancer synthesis using cascaded diffusion models. bioRxiv 2023:2023. [PMID: 36711711 DOI: 10.1101/2023.01.13.523899] [Reference Citation Analysis]
8 Howard FM, Kather JN, Pearson AT. Multimodal deep learning: An improvement in prognostication or a reflection of batch effect? Cancer Cell 2023;41:5-6. [PMID: 36368319 DOI: 10.1016/j.ccell.2022.10.025] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Corti C, Cobanaj M, Dee EC, Criscitiello C, Tolaney SM, Celi LA, Curigliano G. Artificial intelligence in cancer research and precision medicine: Applications, limitations and priorities to drive transformation in the delivery of equitable and unbiased care. Cancer Treat Rev 2023;112:102498. [PMID: 36527795 DOI: 10.1016/j.ctrv.2022.102498] [Reference Citation Analysis]
10 Amará J, Ströele V, Braga R, Bauer M. Sensor Data Integration Using Ontologies for Event Detection. Advanced Information Networking and Applications 2023. [DOI: 10.1007/978-3-031-29056-5_17] [Reference Citation Analysis]
11 Zhou B, Ding M, Feng J, Ji B, Huang P, Zhang J, Yu X, Cao Z, Yang Y, Zhou Y, Wang J. EVlncRNA-Dpred: improved prediction of experimentally validated lncRNAs by deep learning. Brief Bioinform 2023;24. [PMID: 36573492 DOI: 10.1093/bib/bbac583] [Reference Citation Analysis]
12 Liu Z, Xu H, Liu L, Weng S, Xing Z, Ren Y, Ge X, Wang L, Guo C, Chen S, Cheng Q, Luo P, Zhang J, Han X. SurvivalML: an integrative platform for the discovery and exploration of prognostic models in multi-center cancer cohorts.. [DOI: 10.1101/2022.10.25.513678] [Reference Citation Analysis]