Machine-learning-aided self-powered assistive physical therapy devices

X Xiao, Y Fang, X Xiao, J Xu, J Chen - ACS nano, 2021 - ACS Publications
An expanding elderly population and people with disabilities pose considerable challenges
to the current healthcare system. As a practical technology that integrates systems and …

Neonatal encephalopathy prediction of poor outcome with diffusion-weighted imaging connectome and fixel-based analysis

JW Jeong, MH Lee, N Fernandes, S Deol, S Mody… - Pediatric …, 2022 - nature.com
Background Better biomarkers of eventual outcome are needed for neonatal
encephalopathy. To identify the most potent neonatal imaging marker associated with 2-year …

Deep relational reasoning for the prediction of language impairment and postoperative seizure outcome using preoperative DWI connectome data of children with …

S Banerjee, M Dong, MH Lee, N O'Hara… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Prolonged seizures in children with focal epilepsy (FE) may impair language functions and
often reoccur after surgical intervention. This study is aimed at developing a novel deep …

[HTML][HTML] Aberrant structural and functional developmental trajectories in children with intellectual disability

X Ma, J Tan, L Jiang, X Wang, B Cheng, P Xie… - Frontiers in …, 2021 - frontiersin.org
Intellectual disability (ID) is associated with aberrant structural and functional development
of the brain, yet how the dynamical developmental changes of the structure and function of …

Prediction of baseline expressive and receptive language function in children with focal epilepsy using diffusion tractography-based deep learning network

JW Jeong, MH Lee, N O'Hara, C Juhász, E Asano - Epilepsy & Behavior, 2021 - Elsevier
Purpose Focal epilepsy is a risk factor for language impairment in children. We investigated
whether the current state-of-the-art deep learning network on diffusion tractography …

[PDF][PDF] Brain magnetic resonance imaging-based evaluation of pediatric patients with developmental delay: a cross-sectional study

HS Randhawa, S Bagale, R Umap, J Randhawa - Cureus, 2022 - cureus.com
Brain Magnetic Resonance Imaging-Based Evaluation of Pediatric Patients With
Developmental Delay: A Cross-Sectional Study Page 1 Review began 04/03/2022 Review …

Altered efficiency of white matter connections for language function in children with language disorder

MH Lee, NB O'Hara, ME Behen, JW Jeong - Brain and language, 2020 - Elsevier
To characterize structural white matter substrates associated with language functions in
children with language disorders (LD), a psychometry-driven diffusion tractography network …

Brain development in children with developmental delay using amide proton transfer-weighted imaging and magnetization transfer imaging

X Tang, H Zhang, J Zhou, H Kang, S Yang… - Pediatric …, 2020 - mednexus.org
Importance: The process of brain development in children with developmental delay is not
well known. Amide proton transfer-weighted (APTw) imaging is a novel molecular magnetic …

A prospective randomized controlled study on mouse nerve growth factor in the treatment of global developmental delay in children.

JJ Yuan, WW Wang, J Duan, XY Xu… - … Dang dai er ke za zhi …, 2021 - europepmc.org
Objectives To study the clinical effect of mouse nerve growth factor (mNGF) in the treatment
of children with global developmental delay (GDD). Methods A prospective clinical trial was …

Application of apparent diffusion coefficient in children aged 2-12 years with intellectual disability/global developmental delay who have normal conventional brain …

L Li, JS Zhao, ZF Gao, CY Ma, CH Dong… - … Dang dai er ke za zhi …, 2019 - europepmc.org
Objective To study the value of fast spin-echo diffusion weighted imaging (TSE-DWI)
apparent diffusion coefficient (ADC) in children aged 2-12 years with intellectual disability …