Enhancing diagnosis of autism with optimized machine learning models and personal characteristic data MN Parikh, H Li, L He Frontiers in computational neuroscience 13, 9, 2019 | 125 | 2019 |
Objective and automated detection of diffuse white matter abnormality in preterm infants using deep convolutional neural networks H Li, NA Parikh, J Wang, S Merhar, M Chen, M Parikh, S Holland, L He Frontiers in neuroscience 13, 454501, 2019 | 13 | 2019 |
Diffusion MRI microstructural abnormalities at term-equivalent age are associated with neurodevelopmental outcomes at 3 years of age in very preterm infants MN Parikh, M Chen, A Braimah, J Kline, K McNally, JW Logan, L Tamm, ... American Journal of Neuroradiology 42 (8), 1535-1542, 2021 | 12 | 2021 |
Epigenome-wide association of neonatal methylation and trimester-specific prenatal PM2. 5 exposure MN Parikh, C Brokamp, E Rasnick, L Ding, TB Mersha, K Bowers, ... Environmental Epidemiology 6 (5), e227, 2022 | 2 | 2022 |
Evaluation of a Static Dashboard to Support Resident Learning and Competency Assessment S Vennemeyer, M Parikh, S Mu, B Kinnear, DTY Wu 2020 Workshop on Visual Analytics in Healthcare (VAHC), 28-30, 2020 | 2 | 2020 |
User-Centered Evaluation of a Visual Annotation Tool for Rapid Assessment of Pediatric Weight Entry Errors DTY Wu, PJ Van Camp, A Kim, M Parikh, L Liu, M Mahdi, Y Ni, ... Studies in health technology and informatics 290, 517-521, 2022 | | 2022 |
Segmentation of Diffuse White Matter Abnormality in Preterm Infants using Deep Learning H Li, NA Parikh, J Wang, S Merhar, M Chen, M Parikh, S Holland, L He | | |