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Liam Burrows
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2020 – today
- 2023
- [c4]Hongrun Zhang, Liam Burrows, Yanda Meng, Declan Sculthorpe, Abhik Mukherjee, Sarah E. Coupland, Ke Chen, Yalin Zheng:
Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model. CVPR 2023: 15630-15640 - [i2]Hongrun Zhang, Liam Burrows, Yanda Meng, Declan Sculthorpe, Abhik Mukherjee, Sarah E. Coupland, Ke Chen, Yalin Zheng:
Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model. CoRR abs/2304.03572 (2023) - 2021
- [j1]Liam Burrows, Anis Theljani, Ke Chen:
On a Variational and Convex Model of the Blake-Zisserman Type for Segmentation of Low-Contrast and Piecewise Smooth Images. J. Imaging 7(11): 228 (2021) - [c3]Liam Burrows, Ke Chen, Francesco Torella:
A Deep Image Prior Learning Algorithm for Joint Selective Segmentation and Registration. SSVM 2021: 411-422 - [i1]Liam Burrows, Ke Chen, Francesco Torella:
Using Deep Image Prior to Assist Variational Selective Segmentation Deep Learning Algorithms. CoRR abs/2112.00793 (2021) - 2020
- [c2]Liam Burrows, Ke Chen, Francesco Torella:
On New Convolutional Neural Network Based Algorithms for Selective Segmentation of Images. MIUA 2020: 93-104
2010 – 2019
- 2019
- [c1]Liam Burrows, Weihong Guo, Ke Chen, Francesco Torella:
Edge Enhancement for Image Segmentation Using a RKHS Method. MIUA 2019: 198-207
Coauthor Index
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