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Lili He
Lili He
CCHMC: Cincinnati Children's Hospital Medical Center
Verified email at cchmc.org
Title
Cited by
Cited by
Year
A nonlocal maximum likelihood estimation method for Rician noise reduction in MR images
L He, IR Greenshields
IEEE transactions on medical imaging 28 (2), 165-172, 2008
2072008
A novel transfer learning approach to enhance deep neural network classification of brain functional connectomes
H Li, NA Parikh, L He
Frontiers in neuroscience 12, 381775, 2018
1642018
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
1222019
Optimizing the magnetization-prepared rapid gradient-echo (MP-RAGE) sequence
J Wang, L He, H Zheng, ZL Lu
PloS one 9 (5), e96899, 2014
882014
Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework
L He, H Li, SK Holland, W Yuan, M Altaye, NA Parikh
NeuroImage: Clinical 18, 290-297, 2018
802018
Altered functional network connectivity in preterm infants: antecedents of cognitive and motor impairments?
E Gozdas, NA Parikh, SL Merhar, JA Tkach, L He, SK Holland
Brain Structure and Function 223, 3665-3680, 2018
612018
Machine learning prediction of liver stiffness using clinical and T2-weighted MRI radiomic data
L He, H Li, JA Dudley, TC Maloney, SL Brady, E Somasundaram, AT Trout, ...
American Journal of Roentgenology 213 (3), 592-601, 2019
452019
Early cortical maturation predicts neurodevelopment in very preterm infants
JE Kline, VSP Illapani, L He, M Altaye, JW Logan, NA Parikh
Archives of Disease in Childhood-Fetal and Neonatal Edition 105 (5), 460-465, 2020
442020
Prenatal opioid exposure is associated with smaller brain volumes in multiple regions
SL Merhar, JE Kline, A Braimah, BM Kline-Fath, JA Tkach, M Altaye, L He, ...
Pediatric research 90 (2), 397-402, 2021
432021
Automatically quantified diffuse excessive high signal intensity on MRI predicts cognitive development in preterm infants
NA Parikh, L He, E Bonfante-Mejia, L Hochhauser, PE Wilder, K Burson, ...
Pediatric neurology 49 (6), 424-430, 2013
412013
A multichannel deep neural network model analyzing multiscale functional brain connectome data for attention deficit hyperactivity disorder detection
M Chen, H Li, J Wang, JR Dillman, NA Parikh, L He
Radiology: Artificial Intelligence 2 (1), e190012, 2019
402019
A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants
L He, H Li, J Wang, M Chen, E Gozdas, JR Dillman, NA Parikh
Scientific Reports 10 (1), 15072, 2020
382020
Reliability and repeatability of quantitative tractography methods for mapping structural white matter connectivity in preterm and term infants at term-equivalent age
S Kaur, S Powell, L He, CR Pierson, NA Parikh
PloS one 9 (1), e85807, 2014
382014
A spatio-temporal deconvolution method to improve perfusion CT quantification
L He, B Orten, S Do, WC Karl, A Kambadakone, DV Sahani, H Pien
IEEE Transactions on Medical Imaging 29 (5), 1182-1191, 2010
372010
Aberrant executive and frontoparietal functional connectivity in very preterm infants with diffuse white matter abnormalities
L He, NA Parikh
Pediatric neurology 53 (4), 330-337, 2015
362015
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 …
L He, NA Parikh
PloS one 8 (12), e85475, 2013
362013
Brain functional network connectivity development in very preterm infants: the first six months
L He, NA Parikh
Early human development 98, 29-35, 2016
332016
Automated detection of white matter signal abnormality using T2 relaxometry: application to brain segmentation on term MRI in very preterm infants
L He, NA Parikh
Neuroimage 64, 328-340, 2013
312013
Early prediction of cognitive deficit in very preterm infants using brain structural connectome with transfer learning enhanced deep convolutional neural networks
M Chen, H Li, J Wang, W Yuan, M Altaye, NA Parikh, L He
Frontiers in neuroscience 14, 563097, 2020
262020
Diagnostic performance of lung ultrasound for transient tachypnea of the newborn: A meta-analysis
L He, Y Sun, W Sheng, Q Yao
PLoS One 16 (3), e0248827, 2021
232021
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Articles 1–20