A Validated Clinical Risk Prediction Model for Lung Cancer in Smokers of All Ages and Exposure Types: A HUNT StudyMaria Markaki, Oluf Dimitri Røe, Ioannis Tsamardinos et al.|EBioMedicine|2018Cited by 72
Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasetsΓεώργιος Παπουτσόγλου, Εkaterini Chatzaki, Makrina Karaglani et al.|Scientific Reports|2021Cited by 30
‘Reduced’ HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trialOluf Dimitri Røe, Haseem Ashraf, Maria Markaki et al.|BMJ Open Respiratory Research|2019Cited by 15
Improving Lung Cancer Screening Selection: The HUNT Lung Cancer Risk Model for Ever-Smokers Versus the NELSON and 2021 United States Preventive Services Task Force Criteria in the Cohort of Norway: A Population-Based Prospective StudyOlav Toai Duc Nguyen, Oluf Dimitri Røe, Ioannis Fotopoulos et al.|JTO Clinical and Research Reports|2024Cited by 6
Promising microRNAs in pre-diagnostic serum associated with lung cancer up to eight years before diagnosis: a HUNT studyIoannis Fotopoulos, Oluf Dimitri Røe, Olav Toai Duc Nguyen et al.|Journal of Cancer Research and Clinical Oncology|2024Cited by 2