Biography and Research Information
OverviewAI-generated summary
Sonya Utecht's research has focused on the application of computational methods to analyze medical imaging data. Her work includes the development of tools for validating and inspecting DICOM objects, as demonstrated in her 2019 publication on the "Posda: An Open Source Curation Tool." Utecht has also contributed to meta-analyses examining brain volume changes associated with chemotherapy in breast cancer patients, as seen in her 2025 publication. Her collaborations include work with researchers such as Ellen van der Plas, Linda Larson‐Prior, Horacio Gómez-Acevedo, and Jonathan P. Bona at the University of Arkansas for Medical Sciences. Utecht's scholarship metrics include an h-index of 1, with a total of two publications and one citation.
Metrics
- h-index: 1
- Publications: 2
- Citations: 2
Positions
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Programmer Sr. 2018–presentUniversity of Arkansas for Medical Sciences Department of Biomedical Informatics ORCID
Selected Publications
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An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer (2025)
Collaboration Network
Top Collaborators
- An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer
- An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer
- An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer
- An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer
- An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer
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