Nesbakken, Arild

Deep learning for prediction of colorectal cancer outcome: a discovery and validation study

Skrede, O.-J., De Raedt, S., Kleppe, A., Hveem, T. S., Liestøl, K., Maddison, J., Askautrud, H. A., Pradhan, M., Nesheim, J. A., Albregtsen, F., et al. (2020) · The Lancet

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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Somatic POLE proofreading domain mutation, immune response, and prognosis in colorectal cancer: A retrospective, pooled biomarker study

Domingo, E., Freeman-Mills, L., Rayner, E., Glaire, M., Briggs, S., Vermeulen, L., Fessler, E., Medema, J. P., Boot, A., Morreau, H., et al. (2016) · The Lancet Gastroenterology & Hepatology

Genetic factors in colorectal cancerColorectal Cancer Treatments and Studies

Cited by 308

Colorectal cancer consensus molecular subtypes translated to preclinical models uncover potentially targetable cancer cell dependencies

Sveen, A., Bruun, J., Eide, P. W., Eilertsen, I. A., Ramirez, L., Murumägi, A., Arjama, M., Danielsen, S. A., Kryeziu, K., Elez, E., et al. (2018) · Clinical Cancer Research

Colorectal Cancer Treatments and StudiesGenetic factors in colorectal cancer

Cited by 256

Metastatic heterogeneity of the consensus molecular subtypes of colorectal cancer

Eide, P. W., Moosavi, S. H., Eilertsen, I. A., Brunsell, T. H., Langerud, J., Berg, K. C. G., Røsok, B. I., Bjørnbeth, B. A., Nesbakken, A., Lothe, R. A., et al. (2021) · npj Genomic Medicine

Colorectal Cancer Treatments and StudiesGenetic factors in colorectal cancer

Cited by 70

Regulator of Chromosome Condensation 2 Identifies High-Risk Patients within Both Major Phenotypes of Colorectal Cancer

Bruun, J., Kolberg, M., Ahlquist, T. C., Røyrvik, E. C., Nome, T., Leithe, E., Lind, G. E., Merok, M. A., Rognum, T. O., Bjørkøy, G., et al. (2015) · Clinical Cancer Research

Genetic factors in colorectal cancerColorectal Cancer Treatments and Studies

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