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Burrows, Liam, Chen, Ke ORCID: 0000-0002-6093-6623, Guo, Weihong, Hossack, Martin, McWilliams, Richard G and Torella, Francesco ORCID: 0000-0003-0529-7387
(2022)
Evaluation of a hybrid pipeline for automated segmentation of solid lesions based on mathematical algorithms and deep learning.
Scientific Reports, 12 (1).
14216-.
Burrows, Liam ORCID: 0000-0002-6910-6693, Sculthorpe, Declan, Zhang, Hongrun, Rehman, Obaid, Mukherjee, Abhik and Chen, Ke ORCID: 0000-0002-6093-6623
(2024)
Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma.
Journal of pathology informatics, 15.
100351-.
Burrows, Liam ORCID: 0000-0002-6910-6693, Theljani, Anis and Chen, Ke ORCID: 0000-0002-6093-6623
(2021)
On a Variational and Convex Model of the Blake-Zisserman Type for Segmentation of Low-Contrast and Piecewise Smooth Images.
JOURNAL OF IMAGING, 7 (11).
228-.
Burrows, Liam ORCID: 0000-0002-6910-6693, Chen, Ke ORCID: 0000-0002-6093-6623 and Torella, Francesco ORCID: 0000-0003-0529-7387
(2021)
Selective segmentation of a feature that has two distinct intensities.
Journal of Algorithms & Computational Technology, 15.
p. 174830262110077.
Burrows, Liam ORCID: 0000-0002-6910-6693, Chen, Ke ORCID: 0000-0002-6093-6623 and Torella, Francesco ORCID: 0000-0003-0529-7387
(2021)
Using Deep Image Prior to Assist Variational Selective Segmentation Deep Learning Algorithms.
17TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION PROCESSING AND ANALYSIS, 12088.
Burrows, Liam, Chen, Ke ORCID: 0000-0002-6093-6623 and Torella, Francesco ORCID: 0000-0003-0529-7387
(2021)
Using Deep Image Prior to Assist Variational Selective Segmentation Deep Learning Algorithms.
CoRR, abs/21.
Burrows, Liam ORCID: 0000-0002-6910-6693
(2022)
Variational and Deep Learning Methods for Selective Segmentation.
Doctor of Philosophy thesis, University of Liverpool.
Burrows, Liam, Patel, Jay, Islim, Abdurrahman I, Jenkinson, Michael D ORCID: 0000-0003-4587-2139, Mills, Samantha J and Chen, Ke
(2023)
A semi-automatic segmentation method for meningioma developed using a variational approach model.
The neuroradiology journal.
p. 19714009231224442.