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Using his technical expertise in neuroimaging and statistical methods, Dr. Welsh generates sophisticated data for translational studies of novel psychiatric treatments. He collaborates with many research colleagues and brings technical physics and rigorous analytical methods to many imaging studies, within the Department, across other departments and to national and international collaborations.
He has an interest in minority health disparities and social justice, and in addition to other funding in this area, has recently been awarded a grant through the University of Utah Office of the Vice President for Research to study COVID-19 related health disparities. Dr. Welsh’s developed computational pipelines and software tools are widely used in imaging research around the country. An imaging task that he optimized is now being used to collect data from 10,000 individuals across 21 US sites for the longitudinal Adolescent Brain Cognitive Development Study (including HMHI’s Utah site). He also provides critical collaboration for statistical analyses of other large datasets, engaging methods that extend well beyond the analysis needs of neuroimaging data.
Finally, Dr. Welsh is deeply committed to mentorship and was recently awarded funding for a 5-year National Institutes of Health R25 course focused on providing high-level training in advanced statistical methods in the overlapping fields of neuroimaging and genetics. This project attracts trainees from many institutions, bringing national recognition to the University of Utah, the School of Medicine, HMHI, and the Psychiatry department.
He has an interest in minority health disparities and social justice, and in addition to other funding in this area, has recently been awarded a grant through the University of Utah Office of the Vice President for Research to study COVID-19 related health disparities. Dr. Welsh’s developed computational pipelines and software tools are widely used in imaging research around the country. An imaging task that he optimized is now being used to collect data from 10,000 individuals across 21 US sites for the longitudinal Adolescent Brain Cognitive Development Study (including HMHI’s Utah site). He also provides critical collaboration for statistical analyses of other large datasets, engaging methods that extend well beyond the analysis needs of neuroimaging data.
Finally, Dr. Welsh is deeply committed to mentorship and was recently awarded funding for a 5-year National Institutes of Health R25 course focused on providing high-level training in advanced statistical methods in the overlapping fields of neuroimaging and genetics. This project attracts trainees from many institutions, bringing national recognition to the University of Utah, the School of Medicine, HMHI, and the Psychiatry department.
研究兴趣
论文共 177 篇作者统计合作学者相似作者
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BIOLOGICAL PSYCHIATRY: GLOBAL OPEN SCIENCEno. 1 (2024): 1-10
Pedram Parnianpour,Michael Benatar,Hannah Briemberg, Avyarthana Dey,Annie Dionne,Nicolas Dupré,Karleyton C. Evans,Richard Frayne,Angela Genge,Simon J. Graham,Lawrence Korngut, Donald G. McLaren,
Sara L. Weisenbach,Sean A. P. Clouston, Jack R. Kaufman,Vincent Koppelmans,Scott A. Langenecker,Alison C. Pellecchia, Abigail J. Smith,Melissa A. Carr, Chuan Huang,Evelyn J. Bromet, Nikhil Palekar,Robert C. Welsh,
Journal of the International Neuropsychological Societyno. s1 (2023): 849-850
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Ragini Verma,James R. Stone,Elisabeth Wilde,Stephen R. McCauley,Robert C. Welsh,John P. Mugler,Nick Tustison,Brian Avants, Seema Bhatt,Lee Lancashire,Magali Haas, Allyson T. Gage
JOURNAL OF NEUROTRAUMAno. 15-16 (2023): A12-A12
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Jack R. Kaufman, Megan Armstrong, Jeremy Maciarz, Nikhil Palekar,Joseph Kim,Vincent Koppelmans,Robert C. Welsh,Scott A. Langenecker,Sara L. Weisenbach
Journal of the International Neuropsychological Societyno. s1 (2023): 820-821
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Schizophrenia Research (2022): 355-356
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