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1.
Schulte-Sasse, R.* ; Budach, S.* ; Hnisz, D.* & Marsico, A.: Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms. Nat. Mach. Intell., DOI: 10.1038/s42256-021-00325-y (2021)
2.
Holmberg, O. et al.: Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy. Nat. Mach. Intell. 2, 719-726 (2020)
3.
Matek, C. ; Schwarz, S.* ; Spiekermann, K.* & Marr, C.: Human-level recognition of blast cells in acute myeloid leukemia with convolutional neural networks. Nat. Mach. Intell. 1, 538-544 (2019)