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Arshia Dehghan

Showing results (1-10 of 5) with videos related to

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Journal of Health Organization and Management|October 13, 2025
Explainable artificial intelligence to assess hospital financial performance during the COVID-19 pandemic through operating margin metricSeifollah Gholampour, Majid Asadi, Arshia Dehghan
Frontiers in Bioengineering and Biotechnology|April 2, 2024
Optimization of number and range of shunt valve performance levels in infant hydrocephalus: a machine learning analysisMark Graham Waterstraat, Arshia Dehghan, Seifollah Gholampour
Plos One|July 15, 2026
An explainable artificial intelligence framework for clinical decision support in stroke discharge planningSeifollah Gholampour, Arshia Dehghan, Evelyn B Voura, et al.
AJNR. American Journal of Neuroradiology|January 20, 2026
Preoperative Neuroimaging Markers, Clinical Severity Measures, and Shunt Characteristics for Predicting Shunt Revision in Idiopathic Intracranial Hypertension: An Explainable Machine-Learning StudySeifollah Gholampour, Arshia Dehghan, Timothy J Carroll, et al.
Neurosurgery|November 7, 2024
Comprehensive Morphometric Analysis to Identify Key Neuroimaging Biomarkers for the Diagnosis of Adult Hydrocephalus Using Artificial IntelligenceSeifollah Gholampour, Jacob Benjamin Rosen, Michelangelo Pagan, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Journal of Health Organization and Management|October 13, 2025
Explainable artificial intelligence to assess hospital financial performance during the COVID-19 pandemic through operating margin metricSeifollah Gholampour, Majid Asadi, Arshia Dehghan
Frontiers in Bioengineering and Biotechnology|April 2, 2024
Optimization of number and range of shunt valve performance levels in infant hydrocephalus: a machine learning analysisMark Graham Waterstraat, Arshia Dehghan, Seifollah Gholampour
Plos One|July 15, 2026
An explainable artificial intelligence framework for clinical decision support in stroke discharge planningSeifollah Gholampour, Arshia Dehghan, Evelyn B Voura, et al.
AJNR. American Journal of Neuroradiology|January 20, 2026
Preoperative Neuroimaging Markers, Clinical Severity Measures, and Shunt Characteristics for Predicting Shunt Revision in Idiopathic Intracranial Hypertension: An Explainable Machine-Learning StudySeifollah Gholampour, Arshia Dehghan, Timothy J Carroll, et al.
Neurosurgery|November 7, 2024
Comprehensive Morphometric Analysis to Identify Key Neuroimaging Biomarkers for the Diagnosis of Adult Hydrocephalus Using Artificial IntelligenceSeifollah Gholampour, Jacob Benjamin Rosen, Michelangelo Pagan, et al.
Pageof 1