Nehal A. Parikh

Orcid: 0000-0002-1375-1247

According to our database1, Nehal A. Parikh authored at least 8 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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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

Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment.
Artif. Intell. Medicine, 2024

2023
A novel collaborative self-supervised learning method for radiomic data.
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


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