Samuel D. Relton

38 papers A 2B 1C 2Misc 1Journal 23Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Comparison of monocular video-based methods for measuring the amplitude of hand tremor.
Comput. Biol. Medicine
Valeria Filippou, Jane E. Alty, Samuel D. Relton, Stefan Williams, Katherine Bliss, David Wong
2026 — conf
Patient History Visualization for Structured Medication Reviews: A Design Study.
BIOSTEC (4)
Layik Hama, Roy A. Ruddle, A. S. Abuzour, Micheal Abaho, A. Aslam, Danushka Bollegala, Andrew Clegg, M. Gabbay, F. S. Mair, M. O'Connell, Samuel D. Relton, E. Shantsila, Matthew Sperrin, S. A. Wilson, A. A. Woodall, Iain E. Buchan, Lauren E. Walker
2025 — conf
Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders.
MIUA (2)
Benjamin Keel, Aaron Quyn, David G. Jayne, Maryam Mohsin, Samuel D. Relton
2025 J jnl
Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders.
CoRR
Benjamin Keel, Aaron Quyn, David G. Jayne, Maryam Mohsin, Samuel D. Relton
2025 J jnl
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance.
CoRR
Oliver Mills, Philip G. Conaghan, Nishant Ravikumar, Samuel D. Relton
2025 — conf
Time-Series Patient-Reported Data and LSTM Predicting Hospital Utilisation During Chemotherapy.
ICHI
Zuzanna Wójcik, Vania Dimitrova, Lorraine Warrington, Galina Velikova, Kate Absolom, Samuel D. Relton
2024 J jnl
A systematic review of networks for prognostic prediction of health outcomes and diagnostic prediction of health conditions within Electronic Health Records.
Artif. Intell. Medicine
Zoe Hancox, Allan Pang, Philip G. Conaghan, Sarah R. Kingsbury, Andrew Clegg, Samuel D. Relton
2024 C conf
Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement Using Electronic Health Records.
ICMLA
Zoe Hancox, Sarah R. Kingsbury, Andrew Clegg, Philip G. Conaghan, Samuel D. Relton
2024 J jnl
Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement using Electronic Health Records.
CoRR
Zoe Hancox, Sarah R. Kingsbury, Andrew Clegg, Philip G. Conaghan, Samuel D. Relton
2024 A conf
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance.
BMVC
Oliver Mills, Nishant Ravikumar, Philip G. Conaghan, Samuel D. Relton
2023 J jnl
A novel temporal generative adversarial network for electrocardiography anomaly detection.
Artif. Intell. Medicine
Jing Qin, Fujie Gao, Zumin Wang, David C. Wong, Zhibin Zhao, Samuel D. Relton, Hui Fang
2023 — conf
Contactless hand tremor amplitude measurement using smartphones: development and pilot evaluation.
EMBC
James Bungay, Osasenaga Emokpae, Samuel D. Relton, Jane E. Alty, Stefan Williams, Hui Fang, David C. Wong
2023 J jnl
Contactless hand tremor amplitude measurement using smartphones: development and pilot evaluation.
CoRR
James Bungay, Osasenaga Emokpae, Samuel D. Relton, Jane E. Alty, Stefan Williams, Hui Fang, David C. Wong
2023 — conf
Hypergraphs for Frailty Analysis Research Paper.
ICPM Workshops
Zoe Hancox, Samuel D. Relton, Andrew Clegg, Philip G. Conaghan, Dan Schofield
2023 J jnl
Structured level-2 condition numbers of matrix functions.
CoRR
Bahar Arslan, Samuel D. Relton, Marcel Schweitzer
2023 A conf
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions.
BMVC
Benjamin Keel, Aaron Quyn, David G. Jayne, Samuel D. Relton
2023 J jnl
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions.
CoRR
Benjamin Keel, Aaron Quyn, David G. Jayne, Samuel D. Relton
2022 J jnl
Moving towards intelligent telemedicine: Computer vision measurement of human movement.
Comput. Biol. Medicine
Renjie Li, Rebecca J. St George, Xinyi Wang, Katherine Lawler, Edward Hill, Saurabh Garg, Stefan Williams, Samuel D. Relton, David Hogg, Quan Bai, Jane E. Alty
2022 C conf
Temporal Graph-Based CNNs (TG-CNNs) for Online Course Dropout Prediction.
ISMIS
Zoe Hancox, Samuel D. Relton
2021 J jnl
Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs.
CoRR
Zhibin Zhao, Darcy Murphy, Hugh Gifford, Stefan Williams, Annie Darlington, Samuel D. Relton, Hui Fang, David C. Wong
2021 J jnl
Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods.
Numer. Linear Algebra Appl.
Peter Kandolf, Antti Koskela, Samuel D. Relton, Marcel Schweitzer
2021 — conf
Deep Discriminative Domain Generalization with Adversarial Feature Learning for Classifying ECG Signals.
CinC
Zuogang Shang, Zhibin Zhao, Hui Fang, Samuel D. Relton, Darcy Murphy, Zoe Hancox, Ruqiang Yan, David Wong
2020 — conf
Adaptive Lead Weighted ResNet Trained With Different Duration Signals for Classifying 12-lead ECGs.
CinC
Zhibin Zhao, Hui Fang, Samuel D. Relton, Ruqiang Yan, Yuhong Liu, Zhijing Li, Jing Qin, David C. Wong
2020 J jnl
Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods.
CoRR
Peter Kandolf, Antti Koskela, Samuel D. Relton, Marcel Schweitzer
2020 J jnl
Sampling of Stochastic Differential Equations using the Karhunen-Loève Expansion and Matrix Functions.
CoRR
Antti Koskela, Samuel D. Relton
2020 J jnl
Supervised classification of bradykinesia in Parkinson's disease from smartphone videos.
Artif. Intell. Medicine
Stefan Williams, Samuel D. Relton, Hui Fang, Jane E. Alty, Rami Qahwaji, Christopher D. Graham, David C. Wong
2020 — conf
Time series clustering to examine presence of decrement in Parkinson's finger-tapping bradykinesia.
EMBC
Zhibin Zhao, Hui Fang, Stefan Williams, Samuel D. Relton, Jane E. Alty, Alexander J. Casson, David C. Wong
2019 J jnl
PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP.
ACM Trans. Math. Softw.
Jack J. Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Panruo Wu, Ichitaro Yamazaki, Asim YarKhan, Maksims Abalenkovs, Negin Bagherpour, Sven Hammarling, Jakub Sístek, David Stevens, Mawussi Zounon, Samuel D. Relton
2019 B conf
Supervised Classification of Bradykinesia for Parkinson's Disease Diagnosis from Smartphone Videos.
CBMS
David C. Wong, Samuel D. Relton, Hui Fang, Rami Qhawaji, Christopher D. Graham, Jane E. Alty, Stefan Williams
2018 J jnl
Identifying key players in soccer teams using network analysis and pass difficulty.
Eur. J. Oper. Res.
Ian G. McHale, Samuel D. Relton
2017 J jnl
A Block Krylov Method to Compute the Action of the Fréchet Derivative of a Matrix Function on a Vector with Applications to Condition Number Estimation.
SIAM J. Sci. Comput.
Peter Kandolf, Samuel D. Relton
2017 — conf
Optimized Batched Linear Algebra for Modern Architectures.
Euro-Par
Jack J. Dongarra, Sven Hammarling, Nicholas J. Higham, Samuel D. Relton, Mawussi Zounon
2017 Misc conf
The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems.
ICCS
Jack J. Dongarra, Sven Hammarling, Nicholas J. Higham, Samuel D. Relton, Pedro Valero-Lara, Mawussi Zounon
2016 J jnl
Estimating the Largest Elements of a Matrix.
SIAM J. Sci. Comput.
Nicholas J. Higham, Samuel D. Relton
2015 J jnl
New Algorithms for Computing the Matrix Sine and Cosine Separately or Simultaneously.
SIAM J. Sci. Comput.
Awad H. Al-Mohy, Nicholas J. Higham, Samuel D. Relton
2014 J jnl
Estimating the Condition Number of the Fréchet Derivative of a Matrix Function.
SIAM J. Sci. Comput.
Nicholas J. Higham, Samuel D. Relton
2014 J jnl
Higher Order Fréchet Derivatives of Matrix Functions and the Level-2 Condition Number.
SIAM J. Matrix Anal. Appl.
Nicholas J. Higham, Samuel D. Relton
2013 J jnl
Computing the Fréchet Derivative of the Matrix Logarithm and Estimating the Condition Number.
SIAM J. Sci. Comput.
Awad H. Al-Mohy, Nicholas J. Higham, Samuel D. Relton