Papers published in the Nature group

  1. Criteria for the translation of radiomics into clinically useful tests (Huang et al Nat Rev Clin Oncol) PMID: 36443594 DOI: 10.1038/s41571-022-00707-0
  2. Automated detection and segmentation of non-small cell lung cancer computed tomography images. Primakov et al Nat Commun. 2022 Jun 14;13(1):3423. doi: 10.1038/s41467-022-30841-3. https://pubmed.ncbi.nlm.nih.gov/35701415/ ; DOI: 10.1038/s41467-022-30841-3 ;  https://rdcu.be/cPHeS
  3. An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication (Morin et al. Nature Cancer, Juli 21) PMID: 35121948
  4. Pathway-based subnetworks enable cross-disease biomarker discovery. (Haider et al. Nat Commun 2018) PMID: 30420699
  5. Radiomics: the bridge between medical imaging and personalized medicine. (Lambin et al. Nat Rev Clin Oncol 2017) PMID: 28975929
  6. Imaging biomarker roadmap for cancer studies. (O’Connor Nat Rev Clin Oncol 2017) PMID: 27725679
  7. Spatial genomic heterogeneity within localized, multifocal prostate cancer. (Boutros et al. Nat Genet. 2015) PMID: 26005866
  8. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (Aerts et al Nat Commun 2014) PMID: 24892406
  9. Predicting outcomes in Radiation Oncology–multifactorial decision support systems (Lambin et al 2013 nat Rev Clin Oncol) PMID: 23165123
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