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2020 – today
- 2020
[j2]Ines P. Nearchou
, Bethany M. Gwyther, Elena C. T. Georgiakakis, Christos G. Gavriel, Kate Lillard, Yoshiki Kajiwara, Hideki Ueno, David J. Harrison, Peter D. Caie:
Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2019
- [i2]Nicolas Brieu, Armin Meier, Ansh Kapil, Ralf Schönmeyer, Christos G. Gavriel, Peter D. Caie, Günter Schmidt:
Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection. CoRR abs/1907.04681 (2019) - [i1]Neofytos Dimitriou, Ognjen Arandjelovic, Peter D. Caie:
Deep Learning for Whole Slide Image Analysis: An Overview. CoRR abs/1910.11097 (2019) - 2018
- [j1]Neofytos Dimitriou, Ognjen Arandjelovic, David J. Harrison, Peter D. Caie:
A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis. npj Digit. Medicine 1 (2018) - [c2]William Tun, Ognjen Arandjelovic, Peter David Caie:
Using Machine Learning and Urine Cytology for Bladder Cancer Prescreening and Patient Stratification. AAAI Workshops 2018: 507-513 - [c1]Nicolas Brieu, Christos G. Gavriel, David J. Harrison, Peter D. Caie, Günter Schmidt:
Context-based interpolation of coarse deep learning prediction maps for the segmentation of fine structures in immunofluorescence images. Medical Imaging: Digital Pathology 2018: 105810P
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