Quirke, Philip
University of Leeds
15 papers on CoChatORCID 0000-0002-3597-5444
Most cited papers
- Verified
Localised colon cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
Argilés, G., Tabernero, J., Labianca, R., Hochhauser, D., Salazar, R., Iveson, T., Laurent-Puig, P., Quirke, P., Yoshino, T., Taieb, J., et al. (2020) · Annals of Oncology
Colorectal Cancer Surgical TreatmentsColorectal Cancer Treatments and Studies
Cited by 1,375
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Mismatch Repair Status and BRAF Mutation Status in Metastatic Colorectal Cancer Patients: A Pooled Analysis of the CAIRO, CAIRO2, COIN, and FOCUS Studies
Venderbosch, S., Nagtegaal, I. D., Maughan, T. S., Smith, C. G., Cheadle, J. P., Fisher, D., Kaplan, R., Quirke, P., Seymour, M. T., Richman, S. D., et al. (2014) · Clinical Cancer Research
Colorectal Cancer Treatments and StudiesGenetic factors in colorectal cancer
Cited by 772
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KRAS and BRAF Mutations in Advanced Colorectal Cancer Are Associated With Poor Prognosis but Do Not Preclude Benefit From Oxaliplatin or Irinotecan: Results From the MRC FOCUS Trial
Richman, S. D., Seymour, M. T., Chambers, P., Elliott, F., Daly, C. L., Meade, A. M., Taylor, G., Barrett, J. H., & Quirke, P. (2009) · Journal of Clinical Oncology
Colorectal Cancer Treatments and StudiesColorectal Cancer Surgical Treatments
Cited by 560
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European guidelines for quality assurance in colorectal cancer screening and diagnosis: Overview and introduction to the full Supplement publication
von Karsa, L., Patnick, J., Segnan, N., Atkin, W. S., Halloran, S., Lansdorp-Vogelaar, I., Malila, N., Minozzi, S., Moss, S., Quirke, P., et al. (2012) · Endoscopy
Colorectal Cancer Screening and DetectionColorectal Cancer Surgical Treatments
Cited by 533
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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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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 · note
HER2 overexpression and amplification as a potential therapeutic target in colorectal cancer: analysis of 3256 patients enrolled in the QUASAR , FOCUS and PICCOLO colorectal cancer trials
Richman, S. D., Southward, K., Chambers, P., Cross, D., Barrett, J., Hemmings, G., Taylor, M., Wood, H., Hutchins, G., Foster, J. M., et al. (2016) · The Journal of Pathology
Colorectal Cancer Treatments and StudiesHER2/EGFR in Cancer Research
Cited by 241
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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
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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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Combined Epiregulin and Amphiregulin Expression Levels as a Predictive Biomarker for Panitumumab Therapy Benefit or Lack of Benefit in Patients With RAS Wild-Type Advanced Colorectal Cancer
Seligmann, J. F., Elliott, F., Richman, S. D., Jacobs, B., Hemmings, G., Brown, S., Barrett, J. H., Tejpar, S., Quirke, P., & Seymour, M. T. (2016) · JAMA Oncology
Colorectal Cancer Treatments and StudiesHER2/EGFR in Cancer Research
Cited by 113
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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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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
Intra-tumoral Heterogeneity of KRAS and BRAF Mutation Status in Patients with Advanced Colorectal Cancer (aCRC) and Cost-Effectiveness of Multiple Sample Testing
Richman, S. D., Chambers, P., Seymour, M. T., Daly, C., Grant, S., Hemmings, G., & Quirke, P. (2011) · Analytical Cellular Pathology
Colorectal Cancer Treatments and StudiesCancer Genomics and Diagnostics
Cited by 70
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Association of Tumor HER3 Messenger RNA Expression With Panitumumab Efficacy in Advanced Colorectal Cancer
Seligmann, J. F., Hatch, A. J., Richman, S. D., Elliott, F., Jacobs, B., Brown, S., Hurwitz, H., Barrett, J. H., Quirke, P., Nixon, A. B., et al. (2018) · JAMA Oncology
Colorectal Cancer Treatments and StudiesHER2/EGFR in Cancer Research
Cited by 25
- 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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