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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Welcome!
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Hello! I have decided to write some posts every now and then with anything that could be worth mentioning. This is not a place exclusively about career content, I will post from time to time about other topics, thoughts and so on! So, in addition to neural networks, MRI and programming, you can expect content about:
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/
Iterative Cauchy Thresholding: Regularisation with a heavy-tailed prior
Published in IEEE International Conference on Image Processing (ICIP), 2020
The development of the Iterative Cauchy Thresholding algorithm.
Recommended citation: Perla Mayo, Robin Holmes, and Alin Achim (2020). "Iterative Cauchy Thresholding: Regularisation with a heavy-tailed prior." 2020 IEEE International Conference on Image Processing (ICIP). https://ieeexplore.ieee.org/abstract/document/9190736/
Representation learning via cauchy convolutional sparse coding
Published in IEEE Access, 2021
A further step in the exploration of the Cauchy distribution in the field of representation learning.
Recommended citation: Perla Mayo, Oktay Karakus, Robin Holmes, and Alin Achim, (2021). "Representation learning via cauchy convolutional sparse coding." IEEE Access. https://ieeexplore.ieee.org/abstract/document/9481269/
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