Loizeau, X; Romanchikova, M; Thomas, S A; Alsuleman, M; Ayorinde, J O O; Pettigrew, G J (2024) Quantifying measurement uncertainty in renal transplant biopsy assessment. Frontiers in Nephrology, 4. 1458491

Claridge, H; Price, C A; Ali, R; Cooke, E A; de Lusignan, S; Harvey-Sullivan, A; Hodges, C; Khalaf, N; O'Callaghan, D; Stunt, A; Thomas, S A; Thomson, J; Lemanska, A (2024) Determing the feasibility of calculating pancreatic cancer risk scores for people with new-onset diabetes in primary care (DEFEND PRIME): study protocol. BMJ Open, 14 (1). e079863

Romanchikova, M; Thomas, S A; Dexter, A; Shaw, M; Partarrieu, I; Smith, N; Venton, J; Adeogun, M; Brettle, D; Turpin, R J (2022) Need for measurement science in digital pathology. Journal of Pathology Informatics, 13. 100157

Dexter, A; Tsikritsis, D; Belsey, N A; Thomas, S A; Venton, J; Bunch, J; Romanchikova, M (2022) Next generation digital pathology: emerging trends and measurement challenges for molecular pathology. Journal of Molecular Pathology, 3 (3). pp. 168-181.

Brochu, F; Chrubasik, M; Thomas, S A (2022) Tools for a searchable and traceable curated database. In: IMEKO TC6 International Conference on Metrology and Digital Transformation, 10-21 September 2022, Berlin, Germany.

Murta, T; Steven, R T; Nikula, C J; Thomas, S A; Zeiger, L B; Dexter, A; Elia, E A; Yan, B; Campbell, A D; Goodwin, R J A; Takáts, Z; Sansom, O J; Bunch, J (2021) Implications of Peak Selection in the Interpretation of Unsupervised Mass Spectrometry Imaging Data Analyses. Analytical Chemistry, 93 (4). pp. 2309-2316. ISSN 0003-2700

Smith, N A S; Sinden, D; Thomas, S A; Romanchikova, M; Talbott, J E; Adeogun, M (2020) Building confidence in digital health through metrology. The British Journal of Radiology, 93 (1109). 20190574 ISSN 0007-1285

Bunch, J; Steven, R; Taylor, A J; Thomas, S A; Race, A; Dexter, A; Hamm, G; Strittmatter, N; Havelund, R; Soares, R F; Campbell, A D; Sansom, O J; Goodwin, R J; Takats, Z (2018) Abstract 5661: A multi modal mass spectrometry imaging strategy to profile the metabolic hallmarks of colorectal cancer. Cancer Research, 78 (13). p. 5661.

Thomas, S A; Jin, Y; Bunch, J; Gilmore, I S (2017) Enhancing classification of mass spectrometry imaging data with deep neural networks. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 27 November - 01 December 2017, Honolulu, HI, USA.

Thomas, S A; Race, A M; Steven, R T; Gilmore, I S; Bunch, J (2016) Dimensionality reduction of mass spectrometry imaging data using autoencoders. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 6-9 December 2016, Athens, Greece.