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Diagnostics (Basel, Switzerland)|February 10, 2024
CoSev: Data-Driven Optimizations for COVID-19 Severity Assessment in Low-Sample RegimesAksh Garg, Shray Alag, Dominique Duncan
Plos One|May 28, 2020
Unique insights from ClinicalTrials.gov by mining protein mutations and RSids in addition to applying the Human Phenotype OntologyShray Alag
Plos One|September 30, 2020
Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approachShray Alag
Expert Systems with Applications|January 25, 2022
Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CTAksh Garg, Sana Salehi, Marianna La Rocca, et al.
Mathematical Biosciences and Engineering : MBE|October 25, 2016
Classification of Alzheimer's disease using unsupervised diffusion component analysisDominique Duncan, Thomas Strohmer
Discrete and Continuous Dynamical Systems. Series B|October 30, 2018
DETECTING FEATURES OF EPILEPTOGENESIS IN EEG AFTER TBI USING UNSUPERVISED DIFFUSION COMPONENT ANALYSISDominique Duncan, Paul Vespa, Arthur W Toga
Mathematical Biosciences and Engineering : MBE|October 25, 2016
Mathematical methods in systems biologyEugene Kashdan, Dominique Duncan, Andrew Parnell, et al.
Computer Methods and Programs in Biomedicine|January 9, 2022
Unsupervised seizure identification on EEGİlkay Yıldız, Rachael Garner, Matthew Lai, et al.
Mathematical Biosciences and Engineering : MBE|August 3, 2013
Identifying preseizure state in intracranial EEG data using diffusion kernelsDominique Duncan, Ronen Talmon, Hitten P Zaveri, et al.
Future Virology|July 5, 2022
Molecular and antigen tests, and sample types for diagnosis of COVID-19: a reviewYujia Zhang, Rachael Garner, Sana Salehi, et al.
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