Nehal A. Parikh

Cincinnati Children's Hospital Medical Center

Also affiliated with NeuroDevelopment Center, Perinatal Institute, University of Cincinnati Medical Center

MedicineNeuroscience

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 54 papers. Top paper: “Limitations of Conventional Magnetic Resonance Imaging as a Predictor of Death or Disability Following Neonatal Hypoxic–Ischemic Encephalopathy in the Late Hypothermia Trial”.

Limitations of Conventional Magnetic Resonance Imaging as a Predictor of Death or Disability Following Neonatal Hypoxic–Ischemic Encephalopathy in the Late Hypothermia Trial

The Journal of Pediatrics(2020)10.1016/j.jpeds.2020.11.015

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1.1DataRank · unranked

26 citations

Seetha Shankaran, Patrick D. Barnes, Nancy Rollins, T. Barbara, Nehal A. Parikh +95 more

Antecedents of Objectively Diagnosed Diffuse White Matter Abnormality in Very Preterm Infants

Pediatric Neurology(2020)10.1016/j.pediatrneurol.2020.01.011

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0DataRank · unranked

13 citations

Lili He, Hailong Li, Venkata Sita Priyanka Illapani, Mark A. Klebanoff, Nehal A. Parikh

Novel diffuse white matter abnormality biomarker at term-equivalent age enhances prediction of long-term motor development in very preterm children

Scientific Reports(2020)10.1038/s41598-020-72632-0

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0DataRank · unranked

18 citations

Karen Harpster, Lili He, Venkata Sita Priyanka Illapani, Fatima Khalid, Mark A. Klebanoff +3 more

Perinatal Risk and Protective Factors in the Development of Diffuse White Matter Abnormality on Term-Equivalent Age Magnetic Resonance Imaging in Infants Born Very Preterm

The Journal of Pediatrics(2020)10.1016/j.jpeds.2020.11.058

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0DataRank · unranked

44 citations

Puneet Sharma, Lili He, Hailong Li, Mekibib Altaye, Venkata Sita Priyanka Illapani +33 more

Early Prediction of Cognitive Deficit in Very Preterm Infants Using Brain Structural Connectome With Transfer Learning Enhanced Deep Convolutional Neural Networks

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00858

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0DataRank · unranked

31 citations

Hailong Li, Jinghua Wang, Weihong Yuan, Mekbib Altaye, Nehal A. Parikh +2 more

Automated brain morphometric biomarkers from MRI at term predict motor development in very preterm infants

NeuroImage Clinical(2020)10.1016/j.nicl.2020.102475

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29 citations

Venkata Sita Priyanka Illapani, Lili He, Nehal A. Parikh, Julia E. Kline

Objectively Diagnosed Diffuse White Matter Abnormality at Term Is an Independent Predictor of Cognitive and Language Outcomes in Infants Born Very Preterm

The Journal of Pediatrics(2020)10.1016/j.jpeds.2020.01.034

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0DataRank · unranked

25 citations

Lili He, Venkata Sita Priyanka Illapani, Mekibib Altaye, Alonzo T. Folger, Keith Owen Yeates +1 more

Automated brain morphometric biomarkers from MRI at term predict motor development in very preterm infants

medRxiv(2020)10.1101/2020.08.03.20167528

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5 citations

Venkata Sita Priyanka Illapani, Lili He, Nehal A. Parikh, Julia E. Kline

Perinatal Risk and Protective Factors in the Development of Diffuse White Matter Abnormality on Term-Equivalent Age MRI in Infants Born Very Preterm

medRxiv(2020)10.1101/2020.08.01.20166488

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0DataRank · unranked

2 citations

Puneet Sharma, Lili He, Hailong Li, Mekibib Altaye, Venkata Sita Priyanka Illapani +2 more

Novel Diffuse White Matter Abnormality Biomarker at Term-Equivalent Age Enhances Prediction of Long-term Motor Development in Children Born Very Preterm

medRxiv(2020)10.1101/2020.08.04.20167031

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0DataRank · unranked

0 citations

Karen Harpster, Lili He, Venkata Sita Priyanka Illapani, Fatima Khalid, Mark A. Klebanoff +3 more

Deep Multimodal Learning From MRI and Clinical Data for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants

Frontiers in Neuroscience(2021)10.3389/fnins.2021.753033

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0DataRank · unranked

47 citations

Hailong Li, Ming Chen, Jinghua Wang, Mekibib Altaye, Jonathan R. Dillman +2 more

Associations Between Early Structural Magnetic Resonance Imaging, Hammersmith Infant Neurological Examination, and General Movements Assessment in Infants Born Very Preterm

The Journal of Pediatrics(2021)10.1016/j.jpeds.2020.12.056

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0DataRank · unranked

38 citations

Stephanie L. Merhar, Venkata Sita Priyanka Illapani, Colleen Peyton, Beth M. Kline‐Fath, Nehal A. Parikh +1 more

Effects of prenatal opioid exposure on functional networks in infancy

Developmental Cognitive Neuroscience(2021)10.1016/j.dcn.2021.100996

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31 citations

Weixiong Jiang, Nehal A. Parikh, Weiyan Yin, Zhen Zhou, Jean A. Tkach +7 more

Early micro‐ and macrostructure of sensorimotor tracts and development of cerebral palsy in high risk infants

Human Brain Mapping(2021)10.1002/hbm.25579

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0DataRank · unranked

20 citations

Julia E. Kline, Karen Harpster, Jean A. Tkach, Nehal A. Parikh, The Cincinnati Infant Neurodevelopment Early Prediction Study (CINEPS) Group +1 more

Diffusion MRI Microstructural Abnormalities at Term-Equivalent Age Are Associated with Neurodevelopmental Outcomes at 3 Years of Age in Very Preterm Infants

American Journal of Neuroradiology(2021)10.3174/ajnr.a7135

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0DataRank · unranked

17 citations

Ming Chen, Adebayo Braimah, Julia E. Kline, Kelly McNally, J. Wells Logan +6 more

Automatic Segmentation of Diffuse White Matter Abnormality on T2-weighted Brain MR Images Using Deep Learning in Very Preterm Infants

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200166

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0DataRank · unranked

13 citations

Ming Chen, Jinghua Wang, Venkata Sita Priyanka Illapani, Nehal A. Parikh, Lili He +1 more

Diffuse white matter abnormality in very preterm infants at term reflects reduced brain network efficiency

NeuroImage Clinical(2021)10.1016/j.nicl.2021.102739

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0DataRank · unranked

13 citations

Venkata Sita Priyanka Illapani, Hailong Li, Lili He, Weihong Yuan, Nehal A. Parikh +1 more

Neurodevelopmental outcome of preterm infants enrolled in myo-inositol randomized controlled trial

Journal of Perinatology(2021)10.1038/s41372-021-01018-5

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0DataRank · unranked

3 citations

Kristi L. Watterberg, Tracy L. Nolen, Shawn Hirsch, Carol A. Cole, C. Michael Cotten +95 more

Multi-Contrast MRI Image Synthesis Using Switchable Cycle-Consistent Generative Adversarial Networks

Diagnostics(2022)10.3390/diagnostics12040816

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0DataRank · unranked

37 citations

Hailong Li, Jonathan R. Dillman, Nehal A. Parikh, Lili He, Huixian Zhang

ConCeptCNN: A novel multi‐filter convolutional neural network for the prediction of neurodevelopmental disorders using brain connectome

Medical Physics(2022)10.1002/mp.15545

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0DataRank · unranked

31 citations

Hailong Li, Howard Fan, Jonathan R. Dillman, Hui Wang, Mekibib Altaye +4 more

Brain microstructural antecedents of visual difficulties in infants born very preterm

NeuroImage Clinical(2022)10.1016/j.nicl.2022.102987

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0DataRank · unranked

11 citations

Karen Harpster, Julia E. Kline, Ved Mehta, Hui Wang, Stephanie L. Merhar +3 more

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

NeuroImage(2022)10.1016/j.neuroimage.2022.119484

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0DataRank · unranked

7 citations

Hailong Li, Adebayo Braimah, Jonathan R. Dillman, Nehal A. Parikh, Lili He +1 more

Application of a Risk Management Framework to Parent Sleep During Skin-to-Skin Care in the NICU

Journal of Obstetric, Gynecologic & Neonatal Nursing(2022)10.1016/j.jogn.2022.02.004

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0DataRank · unranked

4 citations

Yamile C. Jackson, Mason Elder, Sarah L. Remer, Nehal A. Parikh, Jennifer J. Hofherr +3 more

Early Surgery in Very Preterm Infants is Associated with Brain Abnormalities on Term MRI: A Propensity Score Analysis

medRxiv(2022)10.1101/2022.09.30.22280582

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0DataRank · unranked

1 citations

Chunyan Liu, Shelley Ehrlich, Beth M. Kline‐Fath, Shipra Jain, Nehal A. Parikh +2 more

Dynamic weighted hypergraph convolutional network for brain functional connectome analysis

Medical Image Analysis(2023)10.1016/j.media.2023.102828

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0DataRank · unranked

58 citations

Hailong Li, Gang Qu, Kim M. Cecil, Jonathan R. Dillman, Nehal A. Parikh +2 more

A novel collaborative self-supervised learning method for radiomic data

NeuroImage(2023)10.1016/j.neuroimage.2023.120229

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0DataRank · unranked

15 citations

Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Nehal A. Parikh, Lili He +1 more

Feasibility and acceptability of an online parenting intervention to address behaviour problems in moderately to extremely preterm pre‐school and school‐age children

Child Care Health and Development(2023)10.1111/cch.13209

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0DataRank · unranked

9 citations

Aimee E. Miley, Sandra Glazer, Lisa M. Gies, Nehal A. Parikh, Leo Lam +2 more

Language Outcomes of Children Born Very Preterm in Relation to Early Maternal Depression and Anxiety

Brain Sciences(2023)10.3390/brainsci13101355

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0DataRank · unranked

3 citations

Nancy A. Creaghead, Jennifer Vannest, Lisa L. Hunter, Chiara Ionio, Mekibib Altaye +2 more

Early surgery in very preterm infants is associated with brain abnormalities on term MRI: a propensity score analysis

Journal of Perinatology(2023)10.1038/s41372-023-01645-0

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0DataRank · unranked

9 citations

Chunyan Liu, Shelley Ehrlich, Beth M. Kline‐Fath, Shipra Jain, Nehal A. Parikh +1 more

A Semi-Supervised Graph Convolutional Network for Early Prediction of Motor Abnormalities in Very Preterm Infants

Diagnostics(2023)10.3390/diagnostics13081508

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0DataRank · unranked

7 citations

Zhiyuan Li, Kevin Du, Yu Zhu, Nehal A. Parikh, Lili He +1 more

Mathematics abilities associated with adaptive functioning in preschool children born preterm

Child Neuropsychology(2023)10.1080/09297049.2023.2191942

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0DataRank · unranked

4 citations

Kelly McNally, Mekibib Altaye, Nehal A. Parikh, Leanne Tamm

A Novel Collaborative Self-Supervised Learning Method for Radiomic Data

arXiv (Cornell University)(2023)10.48550/arxiv.2302.09807

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0DataRank · unranked

0 citations

Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Nehal A. Parikh, Lili He +1 more

Corpus callosum abnormalities at term-equivalent age are associated with language development at two years corrected age in infants born very preterm

medRxiv(2023)10.1101/2023.09.20.23295848

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0DataRank · unranked

0 citations

Julia E. Kline, Mekibib Altaye, Beth M. Kline‐Fath, Nehal A. Parikh, the Cincinnati Infant Neurodevelopment Early Prediction Study (CINEPS) Investigators +1 more

Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment

arXiv (Cornell University)(2023)10.48550/arxiv.2312.15064

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0DataRank · unranked

0 citations

Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Mekibib Altaye, Kim M. Cecil +3 more

Development and Validation of a Modality-Invariant 3D Swin U-Net Transformer for Liver and Spleen Segmentation on Multi-Site Clinical Bi-parametric MR Images

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-024-01362-w

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6 citations

Hailong Li, Redha Ali, Wei Jia, Wen‐Chi Pan, Scott B. Reeder +8 more

Prenatal Opioid Exposure and Risk for Adverse Brain and Motor Outcomes in Infants Born Premature

The Journal of Pediatrics(2024)10.1016/j.jpeds.2024.113908

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0DataRank · unranked

9 citations

Venkata Sita Priyanka Illapani, Stephanie L. Merhar, Beth M. Kline‐Fath, Nusrat Harun, Lili He +2 more

A systematic review of automated methods to perform white matter tract segmentation

Frontiers in Neuroscience(2024)10.3389/fnins.2024.1376570

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0DataRank · unranked

9 citations

Hailong Li, Nehal A. Parikh, Lili He, Ankita Joshi

Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome

NeuroImage(2024)10.1016/j.neuroimage.2024.120579

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0DataRank · unranked

8 citations

Junqi Wang, Zhiyuan Li, Kim M. Cecil, Mekibib Altaye, Jonathan R. Dillman +3 more

Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment

Artificial Intelligence in Medicine(2024)10.1016/j.artmed.2024.102993

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0DataRank · unranked

6 citations

Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Mekibib Altaye, Kim M. Cecil +3 more

Hypertensive Disorders of Pregnancy and Risk of Early Brain Abnormalities on Magnetic Resonance Imaging at Term among Infants Born at ≤32 Weeks’ Gestational Age

The Journal of Pediatrics(2024)10.1016/j.jpeds.2024.114133

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0DataRank · unranked

7 citations

Maria E. Barnes‐Davis, Ting Ting Fu, Rashmi D. Sahay, Shelley R. Ehrlich, Chunyan Liu +4 more

Corpus Callosum Abnormalities at Term-Equivalent Age Are Associated with Language Development at 2 Years’ Corrected Age in Infants Born Very Preterm

The Journal of Pediatrics Clinical Practice(2024)10.1016/j.jpedcp.2024.200101

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3 citations

Julia E. Kline, Mekibib Altaye, Beth M. Kline‐Fath, Nehal A. Parikh, Armin Allahverdy +35 more

Is Temperament Associated with Academic School Readiness in Children Born Very Preterm?

Early Education and Development(2024)10.1080/10409289.2024.2404821

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0DataRank · unranked

3 citations

James Peugh, Nehal A. Parikh, Leanne Tamm

DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants

Computer Methods and Programs in Biomedicine(2024)10.1016/j.cmpb.2024.108479

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0DataRank · unranked

2 citations

Hailong Li, Kim M. Cecil, Mekibib Altaye, Nehal A. Parikh, Lili He +1 more

Early Diagnosis of Cerebral Palsy in Preterm Infants with MRI, General Movements and Neurological Exam

medRxiv(2024)10.1101/2024.12.10.24318810

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0DataRank · unranked

1 citations

Karen Harpster, Stephanie L. Merhar, Beth M. Kline‐Fath, Mekibib Altaye, Venkata Sita Priyanka Illapani +4 more

Using FRAME Documentation to Achieve RE ‐ AIM Goals During Iterative, Stakeholder‐Engaged Refinement of a Family Management Intervention for Parents of Preterm Infants

Journal of Advanced Nursing(2024)10.1111/jan.16477

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0DataRank · unranked

0 citations

Tamilyn Bakas, Richard Bailey, Qutaibah Oudat, Kristin C. Voos, Jared B. Rice +6 more

Multi-site, multi-vendor development and validation of a deep learning model for liver stiffness prediction using abdominal biparametric MRI

European Radiology(2025)10.1007/s00330-024-11312-3

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0DataRank · unranked

8 citations

Hailong Li, Huixian Zhang, Wen‐Chi Pan, Scott B. Reeder, David Harris +9 more

Funisitis increases the risk of death or cerebral palsy in extremely preterm infants

American Journal of Obstetrics and Gynecology(2025)10.1016/j.ajog.2025.02.038

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0DataRank · unranked

6 citations

Nehal A. Parikh, Matthew A. Rysavy, Vivek V. Shukla, Shampa Saha, Susan R. Hintz +4 more

Altered neurobehavioral white matter integrity in preterm children: A confounding-controlled analysis using the adolescent brain and cognitive development (ABCD) study

NeuroImage(2025)10.1016/j.neuroimage.2025.121600

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0DataRank · unranked

2 citations

Yuwen Hung, Junqi Wang, Nicole Rudberg, Nehal A. Parikh, Lili He +1 more

RadCLIP: Enhancing Radiologic Image Analysis Through Contrastive Language–Image Pretraining

IEEE Transactions on Neural Networks and Learning Systems(2025)10.1109/tnnls.2025.3568036

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0DataRank · unranked

4 citations

Hailong Li, Nehal A. Parikh, Jonathan R. Dillman, Lili He, Zhixiu Lu

Severity of punctate white matter lesions in preterm infants: antecedents and cerebral palsy prediction

Pediatric Research(2025)10.1038/s41390-025-04157-z

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0DataRank · unranked

2 citations

Venkata Sita Priyanka Illapani, Beth M. Kline‐Fath, Karen Harpster, Ashley Magnino, Stephanie L. Merhar +38 more

Retinopathy of Prematurity and Risk of Structural Brain Abnormalities on Magnetic Resonance Imaging at Term Among Infants Born at Less Than or Equal to 32 Weeks of Gestation

The Journal of Pediatrics(2025)10.1016/j.jpeds.2025.114711

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2 citations

Laura E. Peterson, Beth M. Kline‐Fath, Nehal A. Parikh, Shalini Roy

Functional connectivity patterns as an early indicator of later very early preterm outcomes

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.27.650837

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0DataRank · unranked

0 citations

Nehal A. Parikh, Lili He, S. M. Hadi Hosseini, Elveda Gozdas

A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants

Scientific Reports(2020)10.1038/s41598-020-71914-x

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0DataRank · unranked

69 citations

Hailong Li, Jinghua Wang, Ming Chen, Elveda Gozdas, Jonathan R. Dillman +2 more

Utility of Deep Learning to Address Missing Modalities from Multi-Modal Medical Imaging Studies: A Systematic Review

Artificial Intelligence and Applications(2025)10.47852/bonviewaia52026392

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0DataRank · unranked

0 citations

Ankita Joshi, Hailong Li, Nehal A. Parikh, James F. Dillman, Lili He +1 more