| Reproducible kernel Hilbert space based global and local image segmentation L Burrows, W Guo, K Chen, F Torella Inverse Problems & Imaging, 2020 | 11 | 2020 |
| Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model H Zhang, L Burrows, Y Meng, D Sculthorpe, A Mukherjee, SE Coupland, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| On new convolutional neural network based algorithms for selective segmentation of images L Burrows, K Chen, F Torella Medical Image Understanding and Analysis: 24th Annual Conference, MIUA 2020 …, 2020 | 7 | 2020 |
| Using deep image prior to assist variational selective segmentation deep learning algorithms L Burrows, K Chen, F Torella 17th International Symposium on Medical Information Processing and Analysis …, 2021 | 3 | 2021 |
| Edge enhancement for image segmentation using a RKHS method L Burrows, W Guo, K Chen, F Torella Medical Image Understanding and Analysis: 23rd Conference, MIUA 2019 …, 2020 | 3 | 2020 |
| Evaluation of a hybrid pipeline for automated segmentation of solid lesions based on mathematical algorithms and deep learning L Burrows, K Chen, W Guo, M Hossack, RG McWilliams, F Torella Scientific Reports 12 (1), 14216, 2022 | 2 | 2022 |
| On a variational and convex model of the Blake–Zisserman type for segmentation of low-contrast and piecewise smooth images L Burrows, A Theljani, K Chen Journal of Imaging 7 (11), 228, 2021 | 2 | 2021 |
| A Deep Image Prior Learning Algorithm for Joint Selective Segmentation and Registration L Burrows, K Chen, F Torella Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture …, 2021 | 2 | 2021 |
| Variational and Deep Learning Methods for Selective Segmentation L Burrows PQDT-Global, 2022 | 1 | 2022 |
| Selective segmentation of a feature that has two distinct intensities L Burrows, K Chen, F Torella Journal of Algorithms & Computational Technology 15, 17483026211007776, 2021 | 1 | 2021 |
| Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma L Burrows, D Sculthorpe, H Zhang, O Rehman, A Mukherjee, K Chen Journal of Pathology Informatics 15, 100351, 2024 | | 2024 |
| A semi-automatic segmentation method for meningioma developed using a variational approach model L Burrows, J Patel, AI Islim, MD Jenkinson, SJ Mills, K Chen The neuroradiology journal 37 (2), 199-205, 2024 | | 2024 |
| On two convex variational models and their iterative solutions for selective segmentation of images with intensity inhomogeneity L Burrows, K Chen, F Torella Computational Mathematics and Computer Modeling with Applications (CMCMA) 1 …, 2022 | | 2022 |
| Supplementary: Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model H Zhang, L Burrows, Y Meng, D Sculthorpe, A Mukherjee, SE Coupland, ... | | |
