Nehal A. Parikh

15 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Altered neurobehavioral white matter integrity in preterm children: A confounding-controlled analysis using the adolescent brain and cognitive development (ABCD) study. NeuroImage Hailong Li, Yuwen Hung, Junqi Wang, Nicole Rudberg, Nehal A. Parikh, Lili He
2025	J	`jnl`	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. J. Imaging Inform. Medicine Huixian Zhang, Hailong Li, Redha Ali, Wei Jia, Wen Pan, Scott B. Reeder, David Harris, William R. Masch, Anum Aslam, Krishna Shanbhogue, Nehal A. Parikh, Jonathan R. Dillman, Lili He
2025	J	`jnl`	RadCLIP: Enhancing Radiologic Image Analysis Through Contrastive Language-Image Pretraining. IEEE Trans. Neural Networks Learn. Syst. Zhixiu Lu, Hailong Li, Nehal A. Parikh, Jonathan R. Dillman, Lili He
2024	J	`jnl`	DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants. Comput. Methods Programs Biomed. Junqi Wang, Hailong Li, Kim M. Cecil, Mekibib Altaye, Nehal A. Parikh, Lili He
2024	J	`jnl`	Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment. Artif. Intell. Medicine Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Mekibib Altaye, Kim M. Cecil, Nehal A. Parikh, Lili He
2024	J	`jnl`	Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome. NeuroImage Hailong Li, Junqi Wang, Zhiyuan Li, Kim M. Cecil, Mekibib Altaye, Jonathan R. Dillman, Nehal A. Parikh, Lili He
2023	J	`jnl`	A Novel Collaborative Self-Supervised Learning Method for Radiomic Data. CoRR Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Nehal A. Parikh, Lili He
2023	J	`jnl`	A novel collaborative self-supervised learning method for radiomic data. NeuroImage Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Nehal A. Parikh, Lili He
2023	J	`jnl`	Dynamic weighted hypergraph convolutional network for brain functional connectome analysis. Medical Image Anal. Junqi Wang, Hailong Li, Gang Qu, Kim M. Cecil, Jonathan R. Dillman, Nehal A. Parikh, Lili He
2023	J	`jnl`	Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment. CoRR Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Mekibib Altaye, Kim M. Cecil, Nehal A. Parikh, Lili He
2022	J	`jnl`	A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants. CoRR Zhiyuan Li, Hailong Li, Adebayo Braimah, Jonathan R. Dillman, Nehal A. Parikh, Lili He
2022	J	`jnl`	A novel Ontology-guided Attribute Partitioning ensemble learning model for early prediction of cognitive deficits using quantitative Structural MRI in very preterm infants. NeuroImage Zhiyuan Li, Hailong Li, Adebayo Braimah, Jonathan R. Dillman, Nehal A. Parikh, Lili He
2022	J	`jnl`	Diffuse excessive high signal intensity in the preterm brain on advanced MRI represents widespread neuropathology. NeuroImage Julia E. Kline, Jonathan Dudley, Venkata Sita Priyanka Illapani, Hailong Li, Beth Kline-Fath, Jean A. Tkach, Lili He, Weihong Yuan, Nehal A. Parikh
2021	J	`jnl`	Association between brain structural network efficiency at term-equivalent age and early development of cerebral palsy in very preterm infants. NeuroImage Julia E. Kline, Weihong Yuan, Karen Harpster, Mekibib Altaye, Nehal A. Parikh
2013	J	`jnl`	Automated detection of white matter signal abnormality using T2 relaxometry: Application to brain segmentation on term MRI in very preterm infants. NeuroImage Lili He, Nehal A. Parikh