PUBLICATIONS

Martín-Saladich, Q.; Ciudin, A.; Palomar, A.; et al. (2026). Disentangling Metabolic Impairment in the Liver-Heart Axis: Tissue-Specific Insulin Sensitivity in Type 2 Diabetes. Frontiers in Endocrinology, 17, 1786303. https://doi.org/10.3389/fendo.2026.1786303

Hammawa, K.; Martín-Saladich, Q.; Ciudin, A.; et al. (2026). Regional [18F]FDG‑PET Abnormalities and Metabolic Signatures of Alzheimer’s Disease Dementia Progression in Type 2 Diabetes. Clinical Neuroimaging, 1, e70062. https://doi.org/10.1002/neo2.70062

Martín-Saladich, Q.; Simó, R.; Ciudin, A.; et al. (2025). Phenotypic patterns of metabolic dysfunction-associated steatotic liver disease in type 2 diabetes: the impact of insulin. European Journal of Clinical Investigation, e70050. https://doi.org/10.1111/eci.70050

Martín-Saladich, Q.; Simó, R.; Herance, J.R.; González Ballester, M.A. (2025). MIRA: Myocardial insulin resistance app for clinical practice. Computer Methods and Programs in Biomedicine, 263, 108674. https://doi.org/10.1016/j.cmpb.2025.108674

Martín-Saladich, Q.; Pareto, D.; Simó, R.; et al. (2025). Brain [18F]FDG uptake patterns in type 2 diabetes: new phenotypes relating to biomarkers of cognitive impairment. Brain Communications, 7(3), fcaf213. https://doi.org/10.1093/braincomms/fcaf213

Martín-Saladich, Q.; Pericàs, J.M.; Ciudin, A.; et al. (2024). Metabolic-associated fatty liver voxel-based quantification on CT images using a contrast adapted automatic tool. Medical Image Analysis, 95, 103185. https://doi.org/10.1016/j.media.2024.103185

Martín-Saladich, Q.; Simó, R.; Aguadé-Bruix, S.; et al. (2023). Insights into insulin resistance and calcification in the myocardium in type 2 diabetes: a coronary artery analysis. International Journal of Molecular Sciences, 24(4), 3250. https://doi.org/10.3390/ijms24043250

Herance, J.R.; Martín-Saladich, Q.; Velásquez, M.A.; et al. (2022). Identification of myocardial insulin resistance by using liver tests: a simple approach for clinical practice. International Journal of Molecular Sciences, 23(15), 8783. https://doi.org/10.3390/ijms23158783

Martín-Saladich, Q.; Reynés-Llompart, G.; Sabaté-Llobera, A.; et al. (2020). Comparison of different automatic methods for the delineation of the total metabolic tumor volume in I–II stage Hodgkin Lymphoma. Scientific Reports, 10(1), 12590. https://doi.org/10.1038/s41598-020-69502-y