West, Nicholas P.
University of Leeds
7 papers on CoChatORCID 0000-0002-0346-6709
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
Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study
Wagner, S. J., Reisenbüchler, D., West, N. P., Niehues, J. M., Zhu, J., Foersch, S., Veldhuizen, G. P., Quirke, P., Grabsch, H. I., van den Brandt, P. A., et al. (2023) · Cancer Cell
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 275
- Verified
Swarm learning for decentralized artificial intelligence in cancer histopathology
Saldanha, O. L., Quirke, P., West, N. P., James, J. A., Loughrey, M. B., Grabsch, H. I., Salto-Tellez, M., Alwers, E., Cifci, D., Ghaffari Laleh, N., et al. (2022) · Nature Medicine
AI in cancer detectionArtificial Intelligence in Healthcare and Education
Cited by 227
- 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
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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
- Verified
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study
Jiang, X., Hoffmeister, M., Brenner, H., Muti, H. S., Yuan, T., Foersch, S., West, N. P., Brobeil, A., Jonnagaddala, J., Hawkins, N., et al. (2024) · The Lancet Digital Health
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 108
- Verified
Lynch syndrome screening in colorectal cancer: results of a prospective 2‐year regional programme validating the NICE diagnostics guidance pathway throughout a 5.2‐million population
West, N. P., Gallop, N., Kaye, D., Glover, A., Young, C., Hutchins, G. G. A., Brockmoeller, S. F., Westwood, A. C., Rossington, H., Quirke, P., et al. (2021) · Histopathology
Genetic factors in colorectal cancerBRCA gene mutations in cancer
Cited by 15
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