Perla Mayo

Perla Mayo

Senior Research Associate at the University of Bristol, UK.

Posts by Collection

publications

Super-Resolution OCT Based on α-Stable Distributions and Sparse Representations

Published in Proceedings of the International BASP Frontiers Workshop 2019, 2019

A collaboration with Daniel Zermeno to explore the potential of the alpha stable distribution for OCT super-resolution.

Recommended citation: Daniel Valdez Zermeno, Perla Mayo, Lindsay Nicholson, and Alin Achim, (2015). "Super-Resolution OCT Based on α-Stable Distributions and Sparse Representations." International Biomedical and Astronomical Signal Processing Frontiers workshop. https://research-information.bris.ac.uk/files/220432394/Valdez18_BASP.pdf

Classification of Alzheimer’s Disease in MRI based on Dictionary Learning and Heavy Tailed Modelling

Published in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019

Using alpha Stable distribution with dictionary learning to classify MRI scans.

Recommended citation: Daniel Valdez Zermeno, Perla Mayo, Lindsay Nicholson, and Alin Achim (2019). "Classification of Alzheimer’s Disease in MRI based on Dictionary Learning and Heavy Tailed Modelling." 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://ieeexplore.ieee.org/abstract/document/8857379

Super-Resolution OCT Using Sparse Representations and Heavy-Tailed Models

Published in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019

An update on the work published at BASP.

Recommended citation: Daniel Valdez Zermeno, Perla Mayo, Lindsay Nicholson, and Alin Achim. "Super-Resolution OCT Using Sparse Representations and Heavy-Tailed Models." 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 1(2). https://ieeexplore.ieee.org/abstract/document/8857810/

Convergence Guarantees for Non-Convex Optimisation With Cauchy-Based Penalties

Published in IEEE International Conference on Image Processing (ICIP), 2020

The development of the Iterative Cauchy Thresholding algorithm.

Recommended citation: Oktay Karakuş, Perla Mayo, Robin Holmes, and Alin Achim (2020). "Convergence Guarantees for Non-Convex Optimisation With Cauchy-Based Penalties." 2020 IEEE International Conference on Image Processing (ICIP). https://ieeexplore.ieee.org/abstract/document/9190736/

Detection of Parasitic Eggs from Microscopy Images and the emergence of a new dataset

Published in arXiv preprint arXiv:2203.02940, 2022

A further step in the exploration of the Cauchy distribution in the field of representation learning.

Recommended citation: Perla Mayo, Nantheera Anantrasirichai, Thanarat H. Chalidabhongse, Duangdao Palasuwan, and Alin Achim, (2022). "Detection of Parasitic Eggs from Microscopy Images and the emergence of a new dataset." IEEE Access. https://arxiv.org/abs/2203.02940