Halama, Niels

Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer

Kather, J. N., Pearson, A. T., Halama, N., Jäger, D., Krause, J., Loosen, S. H., Marx, A., Boor, P., Tacke, F., Neumann, U. P., et al. (2019) · Nature Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 1,458

Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

Kather, J. N., Krisam, J., Charoentong, P., Luedde, T., Herpel, E., Weis, C.-A., Gaiser, T., Marx, A., Valous, N. A., Ferber, D., et al. (2019) · PLOS Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 1,082

Key parameters of tumor epitope immunogenicity revealed through a consortium approach improve neoantigen prediction

Wells, D. K., van Buuren, M. M., Dang, K. K., Hubbard-Lucey, V. M., Sheehan, K. C. F., Campbell, K. M., Lamb, A., Ward, J. P., Sidney, J., Blazquez, A. B., et al. (2020) · Cell

vaccines and immunoinformatics approachesCancer Immunotherapy and Biomarkers

Cited by 538

Astrocytic glutamine synthetase is expressed in the neuronal somatic layers and down‐regulated proportionally to neuronal loss in the human epileptic hippocampus

Papageorgiou, I. E., Valous, N. A., Lahrmann, B., Janova, H., Klaft, Z., Koch, A., Schneider, U. C., Vajkoczy, P., Heppner, F. L., Grabe, N., et al. (2018) · Glia

Epilepsy research and treatmentNeuroscience and Neuropharmacology Research

Cited by 31