| 2024 | BMVC | Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance. | Oliver Mills, Nishant Ravikumar, Philip G. Conaghan, Samuel D. Relton |
| 2024 | ICMLA | Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement Using Electronic Health Records. | Zoe Hancox, Sarah R. Kingsbury, Andrew Clegg, Philip G. Conaghan, Samuel D. Relton |
| 2023 | BMVC | Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions. | Benjamin Keel, Aaron Quyn, David G. Jayne, Samuel D. Relton |
| 2023 | ICPM | Hypergraphs for Frailty Analysis Research Paper. | Zoe Hancox, Samuel D. Relton, Andrew Clegg, Philip G. Conaghan, Dan Schofield |
| 2022 | ISMIS | Temporal Graph-Based CNNs (TG-CNNs) for Online Course Dropout Prediction. | Zoe Hancox, Samuel D. Relton |
| 2019 | CBMS | Supervised Classification of Bradykinesia for Parkinson's Disease Diagnosis from Smartphone Videos. | David C. Wong, Samuel D. Relton, Hui Fang, Rami Qhawaji, Christopher D. Graham, Jane E. Alty, Stefan Williams |
| 2017 | EuroPar | Optimized Batched Linear Algebra for Modern Architectures. | Jack J. Dongarra, Sven Hammarling, Nicholas J. Higham, Samuel D. Relton, Mawussi Zounon |
| 2017 | ICCS | The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems. | Jack J. Dongarra, Sven Hammarling, Nicholas J. Higham, Samuel D. Relton, Pedro Valero-Lara, Mawussi Zounon |