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Mohammad Arafat Hussain, PhD

Research Fellow

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Machine Learning to Infer Neurocognitive Testing Scores Among Adolescents and Young Adults with Congenital Heart Disease

Machine Learning to Infer Neurocognitive Testing Scores Among Adolescents and Young Adults with Congenital Heart Disease

Hussain, Mohammad Arafat, Sheng He, Heather R Adams, Evdokia Anagnostou, David C Bellinger, Martina Brueckner, Wendy Chung, et al. 2025. “Machine Learning to Infer Neurocognitive Testing Scores Among Adolescents and Young Adults With Congenital Heart Disease.”

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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