Nehal A. Parikh
Orcid: 0000-0002-1375-1247
According to our database1,
Nehal A. Parikh
authored at least 9 papers
between 2013 and 2024.
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Bibliography
2024
Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome.
NeuroImage, 2024
DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants.
Comput. Methods Programs Biomed., 2024
Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment.
Artif. Intell. Medicine, 2024
2023
NeuroImage, August, 2023
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis.
Medical Image Anal., 2023
2022
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
Diffuse excessive high signal intensity in the preterm brain on advanced MRI represents widespread neuropathology.
NeuroImage, 2022
2021
Association between brain structural network efficiency at term-equivalent age and early development of cerebral palsy in very preterm infants.
NeuroImage, 2021
2013
Automated detection of white matter signal abnormality using T2 relaxometry: Application to brain segmentation on term MRI in very preterm infants.
NeuroImage, 2013