Dr Brandon Whitcher

Senior Imaging Scientist

DepartmentLife Sciences
Research groupResearch Centre for Optimal Health

Research outputs

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. doi:10.1093/biostatistics/kxx068

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. doi: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. doi: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. doi:10.1002/oby.22510





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