Supervised machine learning tools: a tutorial for clinicians
2020 · Journal of Neural Engineering · 161 citations
https://doi.org/10.1088/1741-2552/abbff2
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Jordan J. Bannister
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Jordan J. Bannister is an academic researcher from University of Calgary. The author has contributed to research in topics: Face recognition and analysis & Functional Brain Connectivity Studies & Generative Adversarial Networks and Image Synthesis. The author has an h-index of 9, co-authored 17 publications.
ORCID: 0000-0003-1088-5968Papers by this author
worksAutomated syndrome diagnosis by three-dimensional facial imaging
2020 · Genetics in Medicine · 101 citations
https://doi.org/10.1038/s41436-020-0845-y
Sex Differences in Adult Facial Three-Dimensional Morphology: Application to Gender-Affirming Facial Surgery
2022 · Facial Plastic Surgery & Aesthetic Medicine · 50 citations
https://doi.org/10.1089/fpsam.2021.0301
Rapid automated landmarking for morphometric analysis of three‐dimensional facial scans
2017 · Journal of Anatomy · 44 citations
https://doi.org/10.1111/joa.12576
An exploratory causal analysis of the relationships between the brain age gap and cardiovascular risk factors
2022 · Frontiers in Aging Neuroscience · 12 citations
https://doi.org/10.3389/fnagi.2022.941864
Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows
2021 · Lecture notes in computer science · 7 citations
https://doi.org/10.1007/978-3-030-87586-2_3
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