Jäger, Dirk
Heidelberg University · University Hospital Heidelberg · National Center for Tumor Diseases
8 papers on CoChatORCID 0000-0002-1276-7802
Most cited papers
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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
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Nivolumab alone and nivolumab plus ipilimumab in recurrent small-cell lung cancer (CheckMate 032): a multicentre, open-label, phase 1/2 trial
Antonia, S. J., López-Martin, J. A., Bendell, J., Ott, P. A., Taylor, M., Eder, J. P., Jäger, D., Pietanza, M. C., Le, D. T., de Braud, F., et al. (2016) · The Lancet Oncology
Lung Cancer Research StudiesCancer Immunotherapy and Biomarkers
Cited by 1,244
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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
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Optimizing the outcomes of pancreatic cancer surgery
Strobel, O., Neoptolemos, J., Jäger, D., & Büchler, M. W. (2019) · Nature Reviews Clinical Oncology
Pancreatic and Hepatic Oncology ResearchPancreatitis Pathology and Treatment
Cited by 943
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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
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Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study
Muti, H. S., Heij, L. R., Keller, G., Kohlruss, M., Langer, R., Dislich, B., Cheong, J.-H., Kim, Y.-W., Kim, H., Kook, M.-C., et al. (2021) · The Lancet Digital Health
AI in cancer detectionGastric Cancer Management and Outcomes
Cited by 126
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GPT-4 for Information Retrieval and Comparison of Medical Oncology Guidelines
Ferber, D., Wiest, I. C., Wölflein, G., Ebert, M. P., Beutel, G., Eckardt, J.-N., Truhn, D., Springfeld, C., Jäger, D., & Kather, J. N. (2024) · NEJM AI
Artificial Intelligence in Healthcare and EducationClinical practice guidelines implementation
Cited by 92
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Response to Anti-Programmed Cell Death Protein-1 Antibodies in Men Treated for Platinum Refractory Germ Cell Cancer Relapsed after High-Dose Chemotherapy and Stem Cell Transplantation
Zschäbitz, S., Lasitschka, F., Hadaschik, B., Hofheinz, R.-D., Jentsch-Ullrich, K., Grüner, M., Jäger, D., & Grüllich, C. (2017) · European Journal of Cancer
Cancer Immunotherapy and BiomarkersTesticular diseases and treatments
Cited by 75
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