| Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review S Kuntz, E Krieghoff-Henning, JN Kather, T Jutzi, J Höhn, L Kiehl, ... European Journal of Cancer 155, 200-215, 2021 | 116 | 2021 |
| Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours TJ Brinker, L Kiehl, M Schmitt, TB Jutzi, EI Krieghoff-Henning, D Krahl, ... European Journal of Cancer 154, 227-234, 2021 | 45 | 2021 |
| Deep learning can predict lymph node status directly from histology in colorectal cancer L Kiehl, S Kuntz, J Höhn, T Jutzi, E Krieghoff-Henning, JN Kather, ... European Journal of Cancer 157, 464-473, 2021 | 44 | 2021 |
| Digital natives’ preferences on mobile artificial intelligence apps for skin cancer diagnostics: survey study S Haggenmüller, E Krieghoff-Henning, T Jutzi, N Trapp, L Kiehl, JS Utikal, ... JMIR mHealth and uHealth 9 (8), e22909, 2021 | 21 | 2021 |
| Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning J Höhn, E Krieghoff-Henning, C Wies, L Kiehl, MJ Hetz, TC Bucher, ... NPJ Precision Oncology 7 (1), 98, 2023 | 2 | 2023 |
