Li H - Search Results

1

Perinatal Risk and Protective Factors in the Development of Diffuse White Matter Abnormality on Term-Equivalent Age Magnetic Resonance Imaging in Infants Born Very Preterm.

Parikh NA, Sharma P, He L, Li H, Altaye M, Priyanka Illapani VS; Cincinnati Infant Neurodevelopment Early Prediction Study (CINEPS) Investigators. Parikh NA, et al. Among authors: li h. J Pediatr. 2021 Jun;233:58-65.e3. doi: 10.1016/j.jpeds.2020.11.058. Epub 2020 Nov 28. J Pediatr. 2021. PMID: 33259857 Free PMC article.

2

Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework.

He L, Li H, Holland SK, Yuan W, Altaye M, Parikh NA. He L, et al. Among authors: li h. Neuroimage Clin. 2018 Jan 31;18:290-297. doi: 10.1016/j.nicl.2018.01.032. eCollection 2018. Neuroimage Clin. 2018. PMID: 29876249 Free PMC article.

3

A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes.

Li H, Parikh NA, He L. Li H, et al. Front Neurosci. 2018 Jul 24;12:491. doi: 10.3389/fnins.2018.00491. eCollection 2018. Front Neurosci. 2018. PMID: 30087587 Free PMC article.

4

Enhancing Diagnosis of Autism With Optimized Machine Learning Models and Personal Characteristic Data.

Parikh MN, Li H, He L. Parikh MN, et al. Among authors: li h. Front Comput Neurosci. 2019 Feb 15;13:9. doi: 10.3389/fncom.2019.00009. eCollection 2019. Front Comput Neurosci. 2019. PMID: 30828295 Free PMC article.

5

Machine Learning Prediction of Liver Stiffness Using Clinical and T2-Weighted MRI Radiomic Data.

He L, Li H, Dudley JA, Maloney TC, Brady SL, Somasundaram E, Trout AT, Dillman JR. He L, et al. Among authors: li h. AJR Am J Roentgenol. 2019 Sep;213(3):592-601. doi: 10.2214/AJR.19.21082. Epub 2019 May 23. AJR Am J Roentgenol. 2019. PMID: 31120779

6

Objective and Automated Detection of Diffuse White Matter Abnormality in Preterm Infants Using Deep Convolutional Neural Networks.

Li H, Parikh NA, Wang J, Merhar S, Chen M, Parikh M, Holland S, He L. Li H, et al. Front Neurosci. 2019 Jun 18;13:610. doi: 10.3389/fnins.2019.00610. eCollection 2019. Front Neurosci. 2019. PMID: 31275101 Free PMC article.

7

A Multichannel Deep Neural Network Model Analyzing Multiscale Functional Brain Connectome Data for Attention Deficit Hyperactivity Disorder Detection.

Chen M, Li H, Wang J, Dillman JR, Parikh NA, He L. Chen M, et al. Among authors: li h. Radiol Artif Intell. 2019 Dec 11;2(1):e190012. doi: 10.1148/ryai.2019190012. Radiol Artif Intell. 2019. PMID: 32076663 Free PMC article.

8

Antecedents of Objectively Diagnosed Diffuse White Matter Abnormality in Very Preterm Infants.

Parikh NA, He L, Li H, Priyanka Illapani VS, Klebanoff MA. Parikh NA, et al. Among authors: li h. Pediatr Neurol. 2020 May;106:56-62. doi: 10.1016/j.pediatrneurol.2020.01.011. Epub 2020 Feb 4. Pediatr Neurol. 2020. PMID: 32139164 Free PMC article.

9

A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants.

He L, Li H, Wang J, Chen M, Gozdas E, Dillman JR, Parikh NA. He L, et al. Among authors: li h. Sci Rep. 2020 Sep 15;10(1):15072. doi: 10.1038/s41598-020-71914-x. Sci Rep. 2020. PMID: 32934282 Free PMC article. Clinical Trial.

10

Early Prediction of Cognitive Deficit in Very Preterm Infants Using Brain Structural Connectome With Transfer Learning Enhanced Deep Convolutional Neural Networks.

Chen M, Li H, Wang J, Yuan W, Altaye M, Parikh NA, He L. Chen M, et al. Among authors: li h. Front Neurosci. 2020 Sep 18;14:858. doi: 10.3389/fnins.2020.00858. eCollection 2020. Front Neurosci. 2020. PMID: 33041749 Free PMC article.

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