Dr Brandon Whitcher

Automated Measurement of Pancreatic Fat and Iron Concentration Using Multi-Echo and T1-Weghted MRI Data
Basty, N., Liu, Y., Cule, M., Thomas, E.L., Bell, J.D. and Whitcher, B. 2020. Automated Measurement of Pancreatic Fat and Iron Concentration Using Multi-Echo and T1-Weghted MRI Data. International Symposium on Biomedical Imaging 2020. Iowa City, USA 03 - 07 Apr 2020 IEEE . https://doi.org/10.1109/ISBI45749.2020.9098650

Snacking on whole almonds for 6 weeks improves endothelial function and lowers LDL cholesterol but does not affect liver fat and other cardiometabolic risk factors in healthy adults: the ATTIS study, a randomized controlled trial
Dikariyanto, V., Smith, L., Francis, L., Robertson, M., Kusaslan, E., O’Callaghan-Latham, M., Palanche, C., D’Annibale, M., Christodoulou, D., Basty, N., Whitcher, B., Shuaib, H., Charles-Edwards, G., Chowienczyk, P.J., Ellis, P. R., Berry, S.E. and Hall, W. 2020. Snacking on whole almonds for 6 weeks improves endothelial function and lowers LDL cholesterol but does not affect liver fat and other cardiometabolic risk factors in healthy adults: the ATTIS study, a randomized controlled trial. American Journal of Clinical Nutrition. 111 (6), p. 1178–1189. https://doi.org/10.1093/ajcn/nqaa100

Ethnic differences in adiposity and diabetes risk – insights from genetic studies
Yaghootkar, H., Bell, J.D., Whitcher, B. and Thomas, E.L. 2020. Ethnic differences in adiposity and diabetes risk – insights from genetic studies. Journal of Internal Medicine. 288 (3), pp. 271-283. https://doi.org/10.1111/joim.13082

Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases
Aldraimli, M., Soria, D., Parkinson, J., Whitcher, B., Thomas, E.L., Bell, J.D., Chaussalet, T.J. and Dwek, M. 2019. Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases. MEDICON 2019: XV Mediterranean Conference on Medical and Biological Engineering and Computing. Coimbra, Portugal 26 - 28 Sep 2019 Springer. https://doi.org/10.1007/978-3-030-31635-8_81

Ethnic differences in intrahepatic lipid and its association with hepatic insulin sensitivity and insulin clearance between men of Black and White ethnicity with early type 2 diabetes
Hakim, O., Bello, O., Bonadonna, O.C., Mohandas, C., Shojaee-Moradie, F., Jackson, N., Boselli, L., Whitcher, B., Shuaib, H., Alberti, K.G.M.M., Peacock, J.L., Umpleby, A.M., Charles-Edwards, E., Amiel, S.A. and Goff, L.M. 2019. Ethnic differences in intrahepatic lipid and its association with hepatic insulin sensitivity and insulin clearance between men of Black and White ethnicity with early type 2 diabetes. Diabetes, Obesity and Metabolism. 21 (9), pp. 2163-2168. https://doi.org/10.1111/dom.13771

Sub‐phenotyping Metabolic Disorders Using Body Composition: An Individualized, Nonparametric Approach Utilizing Large Data Sets
Linge, J., Whitcher, B., Borga, M. and Dahlqvist Leinhard, O. 2019. Sub‐phenotyping Metabolic Disorders Using Body Composition: An Individualized, Nonparametric Approach Utilizing Large Data Sets. Obesity. 27 (7), pp. 1190-1199. https://doi.org/10.1002/oby.22510

Neuroconductor: an R platform for medical imaging analysis
Muschelli, J., Gherman, A., Fortin, J.P., Avants, B., Whitcher, B., Clayden, J.D., Caffo, B.S. and Crainiceanu, C.M. 2019. Neuroconductor: an R platform for medical imaging analysis. Biostatistics. 20 (2), pp. 218-239. https://doi.org/10.1093/biostatistics/kxx068