Dr Peter Caie

Senior Research Fellow

Researcher profile

Phone

+44 (0)1334 463603

Email

pdc5@st-andrews.ac.uk

PhD supervision

• Rhiannon McShane
• Ines Nearchou
• Aleksandra Raczka
• Christos Gavriel
• Raffaele De Filippis
• David Morrison

Selected publications

• Automated analysis of lymphocytic infiltration, tumor budding, and their spatial relationship improves prognostic accuracy in colorectal cancer

  Nearchou, I. P., Lillard, K., Gavriel, C., Ueno, H., Harrison, D. J. & Caie, P. D., Apr 2019, In : Cancer Immunology Research. 7, 4

  Research output: Contribution to journal ? Article

• Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis

  Brieu, N., Gavriel, C., Nearchou, I. P., Harrison, D. J., Schmidt, G. & Caie, P. D., 26 Mar 2019, In : Scientific Reports. 9, 5174.

  Research output: Contribution to journal ? Article

• Colorectal cancer outcome prediction from H&E whole slide images using machine learning and automatically inferred phenotype profiles

  Xingzhi, Y., Dimitriou, N., Caie, P. D., Harrison, D. J. & Arandelovic, O., 9 Mar 2019, (Submitted) In : ArXiv e-prints. 11 p.

  Research output: Contribution to journal ? Article

• Colorectal cancer outcome prediction from H&E whole slide images using machine learning and automatically inferred phenotype profiles

  Yue, X., Dimitriou, N., Caie, P., Harrison, D. & Arandjelovic, O., 18 Mar 2019, Proceedings of 11th International Conference on Bioinformatics and Computational Biology, BICOB 2019: Honolulu; United States; 18 March 2019 through 20 March 2019. Eulenstein, O., Al-Mubaid, H. & Ding, Q. (eds.). EasyChair, p. 139-127 11 p. (EPiC Series in Computing; vol. 60).

  Research output: Chapter in Book/Report/Conference proceeding ? Conference contribution

• Deep learning for whole slide image analysis: an overview

  Dimitriou, N., Arandjelovi?, O. & Caie, P. D., 22 Nov 2019, In : Frontiers in Medicine. 6, 7 p., 264.

  Research output: Contribution to journal ? Review article

• Novel internationally verified method reports desmoplastic reaction as the most significant prognostic feature for disease-specific survival in stage II colorectal cancer

  Nearchou, I. P., Kajiwara, Y., Mochizuki, S., Harrison, D. J., Caie, P. D. & Ueno, H., Sep 2019, In : American Journal of Surgical Pathology. 43, 9, p. 1239-1248 10 p.

  Research output: Contribution to journal ? Article

• A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis

  Dimitriou, N., Arandelovic, O., Harrison, D. J. & Caie, P. D., 2 Oct 2018, In : npj Digital Medicine. 1, 9 p., 52.

  Research output: Contribution to journal ? Article

• Augmenting TNM staging with machine learning-based immune profiling for improved prognosis prediction in muscle-invasive bladder cancer patients

  Brieu, N., Gavriel, C., Harrison, D. J., Schmidt, G. & Caie, P. D., 8 Oct 2018.

  Research output: Contribution to conference ? Poster

• Context based interpolation of coarse deep learning prediction maps for the segmentation of fine structures in immunofluorescence images

  Brieu, N., Gavriel, C., Harrison, D. J., Caie, P. D. & Schmidt, G., 6 Mar 2018, Medical Imaging 2018: Digital Pathology. Tomaszewski, J. E. & Gurcan, M. N. (eds.). SPIE, 6 p. 105810P. (Proceedings of SPIE; vol. 10581).

  Research output: Chapter in Book/Report/Conference proceeding ? Conference contribution

• Digital Pathology: Path to the Future

  Caie, P. D. & Harrison, D. J., 2 Feb 2018, Tissue Phenomics : Profiling Cancer Patients for Treatment Decisions. Singapore: Pan Stanford Publishing Ltd, p. 185-198 14 p. (Next-Generation Medicine Vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding ? Chapter

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