37 citations · 90 across the 19 of their papers we have counts for
5 papers · 1 filter
Data Models for Dataset Drift Controls in Machine Learning With Optical Images
Luis Oala, Marco Aversa, Gabriel Nobis +10
Camera images are ubiquitous in machine learning research. They also play a central role in the delivery of important services spanning medicine and environmental surveying. Howeve…
Optimizing Vision Transformers for Medical Image Segmentation
Qianying Liu, Chaitanya Kaul, Jun Wang +3
For medical image semantic segmentation (MISS), Vision Transformers have emerged as strong alternatives to convolutional neural networks thanks to their inherent ability to capture…
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres
Joshua Mitton, Simon Peter Mekhail, Miles Padgett +3
We develop a new type of model for solving the task of inverting the transmission effects of multi-mode optical fibres through the construction of an -equivar…
The Fully Convolutional Transformer for Medical Image Segmentation
Athanasios Tragakis, Chaitanya Kaul, Roderick Murray-Smith +1
We propose a novel transformer model, capable of segmenting medical images of varying modalities. Challenges posed by the fine grained nature of medical image analysis mean that th…
Improving Sequential Query Recommendation with Immediate User Feedback
Shameem A Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith
We propose an algorithm for next query recommendation in interactive data exploration settings, like knowledge discovery for information gathering. The state-of-the-art query recom…