Search Results - "Parikh, Nehal"

The Swinging Pendulum of Postnatal Corticosteroid Use by Parikh, Nehal A

Get more information

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

“…Early diagnosis remains a significant challenge for many neurological disorders, especially for rare disorders where studying large cohorts is not possible. A…”
Get full text

Is a New Era Coming for Bronchopulmonary Dysplasia Prevention With Corticosteroids?-Reply by Parikh, Nehal A

Get more information

Does prolonged ductal patency cause bronchopulmonary dysplasia or is the direction of causation reversed? by Parikh, Nehal A.

Get full text

Early Detection of Cerebral Palsy Using Sensorimotor Tract Biomarkers in Very Preterm Infants by Parikh, Nehal A., Hershey, Alexa, Altaye, Mekibib

“…Our objectives were to evaluate the brain's sensorimotor network microstructure using diffusion magnetic resonance imaging (MRI) at term-corrected age and test…”
Get full text

A Phase I Trial of DFMO Targeting Polyamine Addiction in Patients with Relapsed/Refractory Neuroblastoma by Saulnier Sholler, Giselle L, Gerner, Eugene W, Bergendahl, Genevieve, MacArthur, Robert B, VanderWerff, Alyssa, Ashikaga, Takamaru, Bond, Jeffrey P, Ferguson, William, Roberts, William, Wada, Randal K, Eslin, Don, Kraveka, Jacqueline M, Kaplan, Joel, Mitchell, Deanna, Parikh, Nehal S, Neville, Kathleen, Sender, Leonard, Higgins, Timothy, Kawakita, Masao, Hiramatsu, Kyoko, Moriya, Shun-Suke, Bachmann, André S

“…Neuroblastoma (NB) is the most common cancer in infancy and most frequent cause of death from extracranial solid tumors in children. Ornithine decarboxylase…”
Get full text

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 by He, Lili, Parikh, Nehal A

“…The developmental significance of the frequently encountered white matter signal abnormality (WMSA) findings on MRI around term-equivalent age (TEA) in very…”
Get full text

A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants by He, Lili, Li, Hailong, Wang, Jinghua, Chen, Ming, Gozdas, Elveda, Dillman, Jonathan R., Parikh, Nehal A.

“…Survivors following very premature birth (i.e., ≤ 32 weeks gestational age) remain at high risk for neurodevelopmental impairments. Recent advances in deep…”
Get full text

Automated detection of white matter signal abnormality using T2 relaxometry: Application to brain segmentation on term MRI in very preterm infants by He, Lili, Parikh, Nehal A.

“…Hyperintense white matter signal abnormalities, also called diffuse excessive high signal intensity (DEHSI), are observed in up to 80% of very preterm infants…”
Get full text

A novel collaborative self-supervised learning method for radiomic data by Li, Zhiyuan, Li, Hailong, Ralescu, Anca L., Dillman, Jonathan R., Parikh, Nehal A., He, Lili

“…•Deep learning and radiomics to predict cognitive deficits in very preterm infants.•Self-supervised learning to address the lack of labeled radiomic…”
Get full text

Acute histologic chorioamnionitis independently and directly increases the risk for brain abnormalities seen on magnetic resonance imaging in very preterm infants by Jain, Viral G., Kline, Julia E., He, Lili, Kline-Fath, Beth M., Altaye, Mekibib, Muglia, Louis J., DeFranco, Emily A., Ambalavanan, Namasivayam, Parikh, Nehal A.

“…The independent risk for neurodevelopmental impairments attributed to chorioamnionitis in premature infants remains controversial. Delayed brain maturation or…”
Get full text

Mathematics abilities associated with adaptive functioning in preschool children born preterm by Tamm, Leanne, McNally, Kelly A., Altaye, Mekibib, Parikh, Nehal A.

“…It is well known that infants born very preterm (VPT) often demonstrate deficits in mathematical abilities in early childhood which are associated with poorer…”
Get full text

Dynamic weighted hypergraph convolutional network for brain functional connectome analysis by Wang, Junqi, Li, Hailong, Qu, Gang, Cecil, Kim M., Dillman, Jonathan R., Parikh, Nehal A., He, Lili

“…The hypergraph structure has been utilized to characterize the brain functional connectome (FC) by capturing the high order relationships among multiple brain…”
Get full text

ConCeptCNN: A novel multi‐filter convolutional neural network for the prediction of neurodevelopmental disorders using brain connectome by Chen, Ming, Li, Hailong, Fan, Howard, Dillman, Jonathan R., Wang, Hui, Altaye, Mekibib, Zhang, Bin, Parikh, Nehal A., He, Lili

“…Background Deep convolutional neural network (CNN) and its derivatives have recently shown great promise in the prediction of brain disorders using brain…”
Get full text

DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants by Wang, Junqi, Li, Hailong, Cecil, Kim M, Altaye, Mekibib, Parikh, Nehal A, He, Lili

“…•Very preterm infants are susceptible to developing neurodevelopmental deficits.•Functional and structural connectome are capable of modeling individual brain…”
Get full text

Associations Between Early Structural Magnetic Resonance Imaging, Hammersmith Infant Neurological Examination, and General Movements Assessment in Infants Born Very Preterm by Harpster, Karen, Merhar, Stephanie, Priyanka Illapani, Venkata Sita, Peyton, Colleen, Kline-Fath, Beth, Parikh, Nehal A.

“…To evaluate the prevalence and associations between structural magnetic resonance imaging (sMRI) injury/abnormality at term-equivalent age and absent fidgety…”
Get full text

Intensive Care for Extreme Prematurity — Moving beyond Gestational Age by Tyson, Jon E, Parikh, Nehal A, Langer, John, Green, Charles, Higgins, Rosemary D

“…The decision to give intensive care to very preterm infants is often guided by gestational age alone. In this multicenter, prospective study of infants who…”
Get full text

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

“…•Brain structural MRI features are used to predict cognitive deficits in neonates.•Ontology-guided Attribute Partitioning method is presented for feature…”
Get full text

Parenting Interventions Targeting Behavior for Children Born Preterm or Low Birth Weight: A Systematic Review by Patronick, Jamie, Glazer, Sandra, Sidol, Craig, Parikh, Nehal A, Wade, Shari L

“…Abstract Objective To systematically review and summarize the outcomes of parenting interventions designed to improve child and/or parenting behavior for…”
Get full text

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

“…Very preterm infants (born at less than 32 weeks gestational age) are at high risk for serious motor impairments, including cerebral palsy (CP). The brain…”
Get full text