Gaisa, Nadine Therese
Universitätsklinikum Aachen · RWTH Aachen University
5 papers on CoChatORCID 0000-0002-4762-3964
Most cited papers
- Verified
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
- Verified
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
- Verified
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
- Verified
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
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
Lavinia Loeffler, C. M., El Nahhas, O. S. M., Muti, H. S., Seibel, T., Cifci, D., Treeck, M. V., Gustav, M., Carrero, Z. I., Gaisa, N. T., Lehmann, K.-V., et al. (2023) · medRxiv
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 12
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