Hasil Pencarian - Nehal S Parikh

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  1. 1
    A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes

    A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes oleh Hailong Li, Nehal A. Parikh, Nehal A. Parikh, Lili He, Lili He

    Diterbitkan 2018-07-01
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  2. 2
    Atlas-guided quantification of white matter signal abnormalities on term-equivalent age MRI in very preterm infants: findings predict language and cognitive development at two years of age.

    Atlas-guided quantification of white matter signal abnormalities on term-equivalent age MRI in very preterm infants: findings predict language and cognitive development at two year... oleh Lili He, Nehal A Parikh

    Diterbitkan 2013-01-01
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  3. 3
    Objective and Automated Detection of Diffuse White Matter Abnormality in Preterm Infants Using Deep Convolutional Neural Networks

    Objective and Automated Detection of Diffuse White Matter Abnormality in Preterm Infants Using Deep Convolutional Neural Networks oleh Hailong Li, Nehal A. Parikh, Nehal A. Parikh, Nehal A. Parikh, Jinghua Wang, Stephanie Merhar, Stephanie Merhar, Ming Chen, Ming Chen, Milan Parikh, Scott Holland, Scott Holland, Lili He, Lili He

    Diterbitkan 2019-06-01
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  4. 4
    Extracallosal Structural Connectivity Is Positively Associated With Language Performance in Well-Performing Children Born Extremely Preterm

    Extracallosal Structural Connectivity Is Positively Associated With Language Performance in Well-Performing Children Born Extremely Preterm oleh Maria E. Barnes-Davis, Maria E. Barnes-Davis, Brady J. Williamson, Stephanie L. Merhar, Stephanie L. Merhar, Usha D. Nagaraj, Nehal A. Parikh, Nehal A. Parikh, Nehal A. Parikh, Darren S. Kadis, Darren S. Kadis

    Diterbitkan 2022-03-01
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  5. 5
    Neuroimaging of brain connectivity related to reading outcomes in children born preterm: A critical narrative review

    Neuroimaging of brain connectivity related to reading outcomes in children born preterm: A critical narrative review oleh Kaitlyn J. Kelly, John S. Hutton, John S. Hutton, Nehal A. Parikh, Nehal A. Parikh, Maria E. Barnes-Davis, Maria E. Barnes-Davis

    Diterbitkan 2023-03-01
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  6. 6
    An unusual occurrence of deriphyllin-induced hallucinations: Contingency of concern

    An unusual occurrence of deriphyllin-induced hallucinations: Contingency of concern oleh Mohit Dahiya, Nehal R Parikh, Deepak S Malhotra, Shikha V Sood

    Diterbitkan 2019-01-01
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  7. 7
    A systematic review of automated methods to perform white matter tract segmentation

    A systematic review of automated methods to perform white matter tract segmentation oleh Ankita Joshi, Ankita Joshi, Hailong Li, Hailong Li, Hailong Li, Nehal A. Parikh, Nehal A. Parikh, Lili He, Lili He, Lili He, Lili He

    Diterbitkan 2024-03-01
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  8. 8
    Early Prediction of Cognitive Deficit in Very Preterm Infants Using Brain Structural Connectome With Transfer Learning Enhanced Deep Convolutional Neural Networks

    Early Prediction of Cognitive Deficit in Very Preterm Infants Using Brain Structural Connectome With Transfer Learning Enhanced Deep Convolutional Neural Networks oleh Ming Chen, Ming Chen, Hailong Li, Jinghua Wang, Weihong Yuan, Weihong Yuan, Mekbib Altaye, Mekbib Altaye, Nehal A. Parikh, Nehal A. Parikh, Lili He, Lili He

    Diterbitkan 2020-09-01
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  9. 9
    Neurodevelopmental Outcomes of Extremely Preterm Infants Randomized to Stress Dose Hydrocortisone.

    Neurodevelopmental Outcomes of Extremely Preterm Infants Randomized to Stress Dose Hydrocortisone. oleh Nehal A Parikh, Kathleen A Kennedy, Robert E Lasky, Jon E Tyson

    Diterbitkan 2015-01-01
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  10. 10
    Automated brain morphometric biomarkers from MRI at term predict motor development in very preterm infants

    Automated brain morphometric biomarkers from MRI at term predict motor development in very preterm infants oleh Julia E. Kline, Venkata Sita Priyanka Illapani, Lili He, Nehal A. Parikh

    Diterbitkan 2020-01-01
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  11. 11
    Multi-Contrast MRI Image Synthesis Using Switchable Cycle-Consistent Generative Adversarial Networks

    Multi-Contrast MRI Image Synthesis Using Switchable Cycle-Consistent Generative Adversarial Networks oleh Huixian Zhang, Hailong Li, Jonathan R. Dillman, Nehal A. Parikh, Lili He

    Diterbitkan 2022-03-01
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  12. 12
    Reliability and repeatability of quantitative tractography methods for mapping structural white matter connectivity in preterm and term infants at term-equivalent age.

    Reliability and repeatability of quantitative tractography methods for mapping structural white matter connectivity in preterm and term infants at term-equivalent age. oleh Supreet Kaur, Samuel Powell, Lili He, Christopher R Pierson, Nehal A Parikh

    Diterbitkan 2014-01-01
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  13. 13
    Association between brain structural network efficiency at term-equivalent age and early development of cerebral palsy in very preterm infants

    Association between brain structural network efficiency at term-equivalent age and early development of cerebral palsy in very preterm infants oleh Julia E. Kline, Weihong Yuan, Karen Harpster, Mekibib Altaye, Nehal A. Parikh

    Diterbitkan 2021-12-01
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  14. 14
    A Semi-Supervised Graph Convolutional Network for Early Prediction of Motor Abnormalities in Very Preterm Infants

    A Semi-Supervised Graph Convolutional Network for Early Prediction of Motor Abnormalities in Very Preterm Infants oleh Hailong Li, Zhiyuan Li, Kevin Du, Yu Zhu, Nehal A. Parikh, Lili He

    Diterbitkan 2023-04-01
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  15. 15
    Author Correction: Retinopathy of Prematurity and Bronchopulmonary Dysplasia are Independent Antecedents of Cortical Maturational Abnormalities in Very Preterm Infants

    Author Correction: Retinopathy of Prematurity and Bronchopulmonary Dysplasia are Independent Antecedents of Cortical Maturational Abnormalities in Very Preterm Infants oleh Julia E. Kline, Venkata Sita Priyanka Illapani, Lili He, Mekibib Altaye, Nehal A. Parikh

    Diterbitkan 2021-03-01
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  16. 16
    A novel Ontology-guided Attribute Partitioning ensemble learning model for early prediction of cognitive deficits using quantitative Structural MRI in very preterm infants

    A novel Ontology-guided Attribute Partitioning ensemble learning model for early prediction of cognitive deficits using quantitative Structural MRI in very preterm infants oleh Zhiyuan Li, Hailong Li, Adebayo Braimah, Jonathan R. Dillman, Nehal A. Parikh, Lili He

    Diterbitkan 2022-10-01
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  17. 17
    Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework

    Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework oleh Lili He, Hailong Li, Scott K. Holland, Weihong Yuan, Mekibib Altaye, Nehal A. Parikh

    Diterbitkan 2018-01-01
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  18. 18
    Extremely preterm children demonstrate hyperconnectivity during verb generation: A multimodal approach

    Extremely preterm children demonstrate hyperconnectivity during verb generation: A multimodal approach oleh Maria E. Barnes-Davis, Stephanie L. Merhar, Scott K. Holland, Nehal A. Parikh, Darren S. Kadis

    Diterbitkan 2021-01-01
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  19. 19
    Perinatal factors and regional brain volume abnormalities at term in a cohort of extremely low birth weight infants.

    Perinatal factors and regional brain volume abnormalities at term in a cohort of extremely low birth weight infants. oleh Nehal A Parikh, Robert E Lasky, Kathleen A Kennedy, Georgia McDavid, Jon E Tyson

    Diterbitkan 2013-01-01
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  20. 20
    Language Outcomes of Children Born Very Preterm in Relation to Early Maternal Depression and Anxiety

    Language Outcomes of Children Born Very Preterm in Relation to Early Maternal Depression and Anxiety oleh Sisan Cuervo, Nancy Creaghead, Jennifer Vannest, Lisa Hunter, Chiara Ionio, Mekibib Altaye, Nehal A. Parikh

    Diterbitkan 2023-09-01
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