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2020 – today
- 2024
[i1]Chang Bian, Beth Philips, Tim Cootes, Martin Fergie:
HEMIT: H&E to Multiplex-immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator. CoRR abs/2403.18501 (2024)- 2023
- [c6]Stepan Romanov, Sacha Howell, Elaine Harkness, Megan Bydder, D. Gareth Evans, Steven Squires, Martin Fergie, Susan M. Astley:
Artificial intelligence for image-based breast cancer risk prediction using attention. Computer-Aided Diagnosis 2023 - [c5]Chang Bian, Tim Cootes, Martin Fergie:
A transformer-based computational approach for H&E to multiplexed immunohistochemistry stain translation. Digital and Computational Pathology 2023
2010 – 2019
- 2018
- [c4]Georgia V. Ionescu, Martin Fergie, Michael Berks, Elaine F. Harkness
, Johan Hulleman, Adam R. Brentnall, Jack Cuzick, D. Gareth Evans, Susan M. Astley:
Using a convolutional neural network to predict readers' estimates of mammographic density for breast cancer risk assessment. IWBI 2018: 107180D - [c3]Anna Maria Tsakiroglou, Sophie Fitzpatrick, Lilli Nelson, Catharine M. West, Kim Linton, Kang Zeng, Garry Ashton, Sue Astley, Richard Byers, Martin Fergie:
Quantifying cell-type interactions and their spatial patterns as prognostic biomarkers in follicular lymphoma. Digital Pathology 2018: 105810G - 2013
- [j1]Martin Fergie, Aphrodite Galata:
Mixtures of Gaussian process models for human pose estimation. Image Vis. Comput. 31(12): 949-957 (2013) - 2012
- [c2]Martin Fergie, Aphrodite Galata:
Dynamical Pose Filtering for Mixtures of Gaussian Processes. BMVC 2012: 1-12 - 2010
- [c1]Martin Fergie, Aphrodite Galata:
Local Gaussian Processes for Pose Recognition from Noisy Inputs. BMVC 2010: 1-11
Coauthor Index
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