Neurology | Pediatrics | Radiology Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation. July 30, 2021
Genetics | Neurology | Pediatrics Placental DNA methylation changes and the early prediction of autism in full-term newborns. July 14, 2021
Pediatrics | Radiology Improving the image quality of pediatric chest CT angiography with low radiation dose and contrast volume using deep learning image reconstruction. July 12, 2021
Pediatrics | Radiology Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection. July 9, 2021
Pediatrics | Radiology Performance evaluation of a deep learning image reconstruction (DLIR) algorithm in “double low” chest CTA in children: a feasibility study. June 16, 2021
Deep Learning | Neurology | Pathology | Pediatrics CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes. June 14, 2021
Neurology | Pediatrics | Psychiatry Deep learning techniques for automated detection of autism spectrum disorder based on thermal imaging. June 9, 2021
Nuclear Medicine | Pediatrics | Radiology Detecting lumbar lesions in Tc-MDP SPECT by deep learning: comparison with physicians. June 8, 2021
Assistive Technology | Pediatrics | Rehabilitation Integrating Behavior of Children with Profound Intellectual, Multiple, or Severe Motor Disabilities With Location and Environment Data Sensors for Independent Communication and Mobility: App Development and Pilot Testing. June 7, 2021
Developmental Pediatrics | Neurology | Pediatrics A Prediction Model for Detecting Developmental Disabilities in Preschool-Age Children Through Digital Biomarker-Driven Deep Learning in Serious Games: Development Study. June 4, 2021
Health Outcomes Research | Informatics | Machine Learning | Pediatric Transplantation | Pediatrics Machine learning-based prediction of health outcomes in pediatric organ transplantation recipients. June 2, 2021
Neurology | Pediatrics | Public Health A long short-term memory-fully connected (LSTM-FC) neural network for predicting the incidence of bronchopneumonia in children. June 2, 2021