29 citations · 71 across the 7 of their papers we have counts for
8 papers
Large Language Models to Identify Social Determinants of Health in Electronic Health Records
Marco Guevara, Shan Chen, Spencer Thomas +11
Social determinants of health (SDoH) have an important impact on patient outcomes but are incompletely collected from the electronic health records (EHR). This study researched the…
Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers
Spencer A. Thomas
The usage of chemical imaging technologies is becoming a routine accompaniment to traditional methods in pathology. Significant technological advances have developed these next gen…
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features
Foivos Ntelemis, Yaochu Jin, Spencer A. Thomas
Self-supervised learning (SSL) has become a popular method for generating invariant representations without the need for human annotations. Nonetheless, the desired invariant repre…
Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion
Spencer A. Thomas
In this work we examine the performance enhancement in classification of medical imaging data when image features are combined with associated non-image data. We compare the perfor…
Combining Image Features and Patient Metadata to Enhance Transfer Learning
Spencer A. Thomas
In this work, we compare the performance of six state-of-the-art deep neural networks in classification tasks when using only image features, to when these are combined with patien…
Place of Occurrence of COVID-19 Deaths in the UK: Modelling and Analysis
Spencer A. Thomas
We analysed publicly available data on place of occurrence of COVID-19 deaths from national statistical agencies in the UK between March 9 2020 and February 28 2021. We introduce a…
Information Maximization Clustering via Multi-View Self-Labelling
Foivos Ntelemis, Yaochu Jin, Spencer A. Thomas
Image clustering is a particularly challenging computer vision task, which aims to generate annotations without human supervision. Recent advances focus on the use of self-supervis…
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization
Foivos Ntelemis, Yaochu Jin, Spencer A. Thomas
Image clustering has recently attracted significant attention due to the increased availability of unlabelled datasets. The efficiency of traditional clustering algorithms heavily…