Browse All

Current Filters

CLEAR FILTER x

TITLE

A deep transfer learning model for early prediction of cognitive deficits using brain structural connectome data in very preterm infants

Author:Ming Chen  Hailong Li  Jinghua Wang  Weihong Yuan  Adebayo Brainmah  Mekibib Altaye  Nehal Parikh  Lili He  

Institution:Cincinnati Children's Hospital Medical Center  University of Cincinnati College of Medicine  University of Cincinnati  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Pediatric: Brain Structure & Function  

Session Name:Pediatric Technical Advances  

Program Number:4628  

Room Live Q&A Session:

A Deep Transfer Learning Model to Predict Patient Outcome in ICH using the Fusion of Clinical and Fluid-Attenuated Inversion Recovery Imaging Data

Author:Jinghua Wang  Ming Chen  Lili He  Hailong Li  Vivek Khandwala  David Wang  Brady Williamson  Daniel Woo  Achala Vagal  

Institution:Cincinnati Children’s Hospital Medical Center  University of Cincinnati  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Tumour & Hemorrhage  

Program Number:1909  

Room Live Q&A Session:

Early prediction of neurodevelopmental deficits in very preterm infants using a multi-task deep transfer learning model

Author:Lili He  Hailong Li  Jinghua Wang  Ming Chen  Jonathan Dillman  Nehal Parikh  

Institution:Cincinnati Children's Hospital Medical Center  University of Cincinnati  University of Cincinnati College of Medicine  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Pediatric: Brain Structure & Function  

Session Name:Pediatric Technical Advances  

Program Number:4629  

Room Live Q&A Session:

Improving tumor-tissue contrast by increasing spatial resolution

Author:Jinghua Wang  Kim Cecil  Mary Gaskill-shipley  Lili He  Bin Zhang  Michael Lamba  Lily Wang  Achala Vagal  

Institution:Cincinnati Children’s Hospital Medical Center  University of Cincinnati  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Cancer Imaging: Preclinical & Miscellaneous  

Session Name:Cancer Imaging: Miscellaneous 1  

Program Number:4750  

Room Live Q&A Session:

A machine learning model using T2-weighted FLAIR radiomics features to predict patient outcome in ICH

Author:Jinghua Wang  Ming Chen  Lili He  Hailong Li  Vivek Khandwala  David Wang  Brady Williamson  Daniel Woo  Achala Vagal  

Institution:Cincinnati Children’s Hospital Medical Center  University of Cincinnati  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Tumour & Hemorrhage  

Program Number:1910  

Room Live Q&A Session: