Boor, Peter
Universitätsklinikum Aachen
12 papers on CoChatORCID 0000-0001-9921-4284
Most cited papers
- Verified
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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Swarm Learning for decentralized and confidential clinical machine learning
Warnat-Herresthal, S., Schultze, H., Shastry, K. L., Manamohan, S., Mukherjee, S., Garg, V., Sarveswara, R., Händler, K., Pickkers, P., Aziz, N. A., et al. (2021) · Nature
Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security
Cited by 884
- Verified
Spatial multi-omic map of human myocardial infarction
Kuppe, C., Ramirez Flores, R. O., Li, Z., Hayat, S., Levinson, R. T., Liao, X., Hannani, M. T., Tanevski, J., Wünnemann, F., Nagai, J. S., et al. (2022) · Nature
Single-cell and spatial transcriptomicsCongenital heart defects research
Cited by 772
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Decoding myofibroblast origins in human kidney fibrosis
Kuppe, C., Ibrahim, M. M., Kranz, J., Zhang, X., Ziegler, S., Perales-Patón, J., Jansen, J., Reimer, K. C., Smith, J. R., Dobie, R., et al. (2021) · Nature
Chronic Kidney Disease and DiabetesAcute Kidney Injury Research
Cited by 769
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SARS-CoV-2 infection triggers profibrotic macrophage responses and lung fibrosis
Wendisch, D., Dietrich, O., Mari, T., von Stillfried, S., Ibarra, I. L., Mittermaier, M., Mache, C., Chua, R. L., Knoll, R., Timm, S., et al. (2021) · Cell
COVID-19 Clinical Research StudiesInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Cited by 528
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Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning
Echle, A., Grabsch, H. I., Quirke, P., van den Brandt, P. A., West, N. P., Hutchins, G. G. A., Heij, L. R., Tan, X., Richman, S. D., Krause, J., et al. (2020) · Gastroenterology
Genetic factors in colorectal cancerAI in cancer detection
Cited by 376
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SARS-CoV-2 infects the human kidney and drives fibrosis in kidney organoids
Jansen, J., Reimer, K. C., Nagai, J. S., Varghese, F. S., Overheul, G. J., de Beer, M., Roverts, R., Daviran, D., Fermin, L. A. S., Willemsen, B., et al. (2022) · Cell Stem Cell
COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research
Cited by 259
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Complement activation induces excessive T cell cytotoxicity in severe COVID-19
Georg, P., Astaburuaga-García, R., Bonaguro, L., Brumhard, S., Michalick, L., Lippert, L. J., Kostevc, T., Gäbel, C., Schneider, M., Streitz, M., et al. (2022) · Cell
COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research
Cited by 218
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Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application
Echle, A., Ghaffari Laleh, N., Quirke, P., Grabsch, H. I., Muti, H. S., Saldanha, O. L., Brockmoeller, S. F., van den Brandt, P. A., Hutchins, G. G. A., Richman, S. D., et al. (2022) · ESMO Open
AI in cancer detectionGenetic factors in colorectal cancer
Cited by 111
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Murine CD103+ dendritic cells protect against steatosis progression towards steatohepatitis
Heier, E.-C., Meier, A., Julich-Haertel, H., Djudjaj, S., Rau, M., Tschernig, T., Geier, A., Boor, P., Lammert, F., & Lukacs-Kornek, V. (2017) · Journal of Hepatology
Liver Disease Diagnosis and TreatmentLiver physiology and pathology
Cited by 94
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Benchmarking artificial intelligence methods for end-to-end computational pathology
Laleh, N. G., Muti, H. S., Lavinia Loeffler, C. M., Echle, A., Saldanha, O. L., Mahmood, F., Lu, M. Y., Trautwein, C., Langer, R., Dislich, B., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory)
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 13
- Verified
Individualised treatment effects of corticosteroids in IgA nephropathy
Hölscher, D. L., Schmitz, N. E. J., Niggemeier, L., Pilva, P., Strauch, M., Tesar, V., Barratt, J., Roberts, I. S. D., Coppo, R., Barisoni, L., et al. (2026) · eBioMedicine
Renal Diseases and GlomerulopathiesChronic Kidney Disease and Diabetes
Cited by 2
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