Boris A. Gutman, Ph.D.

Biomedical Engineering University of California, Los Angeles, Los Angeles, CA 
"Boris Gutman"
Mean distance: 18.25 (cluster 51)


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Paul M. Thompson grad student 2013 UCLA
 (Shape Analysis Methods for 3D Brain and Skull Imaging.)
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Chye Y, Mackey S, Gutman BA, et al. (2019) Subcortical surface morphometry in substance dependence: An ENIGMA addiction working group study. Addiction Biology. e12830
Wilkes FA, Abaryan Z, Ching CRK, et al. (2019) Striatal morphology and neurocognitive dysfunction in Huntington disease: The IMAGE-HD study. Psychiatry Research. Neuroimaging. 291: 1-8
Jahanshad N, Faskowitz JI, Roshchupkin G, et al. (2019) MULTI-SITE META-ANALYSIS OF MORPHOMETRY. Ieee/Acm Transactions On Computational Biology and Bioinformatics
Wade BSC, Valcour VG, Puthanakit T, et al. (2019) Mapping abnormal subcortical neurodevelopment in a cohort of Thai children with HIV. Neuroimage. Clinical. 23: 101810
Dong Q, Zhang W, Wu J, et al. (2019) Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects. Neuroimage. Clinical. 22: 101744
van Erp TGM, Walton E, Hibar DP, et al. (2018) Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process? Biological Psychiatry
van Erp TGM, Walton E, Hibar DP, et al. (2018) Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium. Biological Psychiatry
Tate DF, Wade BSC, Velez CS, et al. (2018) Subcortical shape and neuropsychological function among U.S. service members with mild traumatic brain injury. Brain Imaging and Behavior
Wade BSC, Sui J, Njau S, et al. (2017) DATA-DRIVEN CLUSTER SELECTION FOR SUBCORTICAL SHAPE AND CORTICAL THICKNESS PREDICTS RECOVERY FROM DEPRESSIVE SYMPTOMS. Proceedings. Ieee International Symposium On Biomedical Imaging. 2017: 502-506
Petrov D, Gutman BA, Yu SJ, et al. (2017) Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging. Machine Learning in Medical Imaging. Mlmi (Workshop). 10541: 371-378
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