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Mohammad Arafat Hussain, PhD

Instructor

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Enhancing neurocognitive outcome prediction in congenital heart disease patients: the role of brain age biomarkers and beyond

Enhancing neurocognitive outcome prediction in congenital heart disease patients: the role of brain age biomarkers and beyond

Hussain, Mohammad Arafat, Ellen Grant, and Yangming Ou. 2023. “Enhancing Neurocognitive Outcome Prediction in Congenital Heart Disease Patients: The Role of Brain Age Biomarkers and Beyond”. BioRxiv, 2023-09.

Last updated on 11/03/2025

Recent Publications

Combining 47 clinical and neuroimaging variables to predict adverse 18-22-month outcomes for Hypoxic Ischemic Encephalopathy in Neonatal Research Network trials
The role of expert MRI scores in predicting adverse 18-22-month outcomes for Hypoxic Ischemic Encephalopathy in Neonatal Research Network trials
Machine Learning to Infer Neurocognitive Testing Scores Among Adolescents and Young Adults with Congenital Heart Disease
Ultrasound-based AI for COVID-19 detection: a comprehensive review of public and private lung ultrasound datasets and studies
Deep learning of structural MRI predicts fluid, crystallized, and general intelligence
Foundation AI Model for Medical Image Segmentation

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