activity
20152026
most citedAnalysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs

16 citations · 19 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

A Systematic Benchmark of Intensity Normalisation Methods for 3D Knee MRI Segmentation and Cross-Domain Generalisability

Oliver Mills, Philip Conaghan, Samuel Relton

Robust out-of-the-box performance is essential for the clinical deployment of deep learning models in medical imaging. An important but underexplored factor affecting model general…

eess.IV2025

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance

Oliver Mills, Philip Conaghan, Nishant Ravikumar +1

Menisci are cartilaginous tissue found within the knee that contribute to joint lubrication and weight dispersal. Damage to menisci can lead to onset and progression of knee osteoa…

cs.LG2024

Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement using Electronic Health Records

Zoe Hancox, Sarah R. Kingsbury, Andrew Clegg +2

Background: Hip replacement procedures improve patient lives by relieving pain and restoring mobility. Predicting hip replacement in advance could reduce pain by enabling timely in…

cs.CV2023★ 2 cited

Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions

Benjamin Keel, Aaron Quyn, David Jayne +1

Lung cancer is responsible for 21% of cancer deaths in the UK and five-year survival rates are heavily influenced by the stage the cancer was identified at. Recent studies have dem…

cs.CV2023★ 1 cited

Contactless hand tremor amplitude measurement using smartphones: development and pilot evaluation

James Bungay, Osasenaga Emokpae, Samuel D. Relton +4

Background: Physiological tremor is defined as an involuntary and rhythmic shaking. Tremor of the hand is a key symptom of multiple neurological diseases, and its frequency and amp…

math.NA2023

Structured level-2 condition numbers of matrix functions

Bahar Arslan, Samuel D. Relton, Marcel Schweitzer

Matrix functions play an increasingly important role in many areas of scientific computing and engineering disciplines. In such real-world applications, algorithms working in float…

eess.SP2021★ 16 cited

Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs

Zhibin Zhao, Darcy Murphy, Hugh Gifford +5

Background: Twelve lead ECGs are a core diagnostic tool for cardiovascular diseases. Here, we describe and analyse an ensemble deep neural network architecture to classify 24 cardi…

math.NA2020

Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods

Peter Kandolf, Antti Koskela, Samuel D. Relton +1

The Fréchet derivative of the matrix function plays an important role in many different applications, including condition number estimation and network analysis.…

math.NA2020

Sampling of Stochastic Differential Equations using the Karhunen-Loève Expansion and Matrix Functions

Antti Koskela, Samuel D. Relton

We consider linearizations of stochastic differential equations with additive noise using the Karhunen-Loève expansion. We obtain our linearizations by truncating the expansion and…

physics.comp-ph2015

Ranking the importance of nuclear reactions for activation and transmutation events

Wayne Arter, J. Guy Morgan, Samuel D. Relton +1

Pathways-reduced analysis is one of the techniques used by the Fispact-II nuclear activation and transmutation software to study the sensitivity of the computed inventories to unce…