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Pediatric Radiology
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June 1, 2022
Pancreas volumes and predictive factors in healthy children
Lisa Qiu, Jonathan R Dillman, Qin Sun, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine
|
January 11, 2017
Can Contrast-Enhanced Sonography Detect Bowel Wall Fibrosis in Mixed Inflammatory and Fibrotic Crohn Disease Lesions in an Animal Model?
Jonathan R Dillman, Jonathan M Rubin, Laura A Johnson, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
March 19, 2021
MRI Measures of Murine Liver Fibrosis
Diana M Lindquist, Elizabeth M Fugate, Jiang Wang, et al.
Abdominal Radiology (New York)
|
February 17, 2023
Longitudinal changes in quantitative magnetic resonance imaging metrics in children and young adults with autoimmune liver disease
Neeraja Mahalingam, Andrew T Trout, Bin Zhang, et al.
Radiology
|
December 25, 2012
Case 189: Pediatric Ménétrier disease
Andrew T Trout, Jonathan R Dillman, Haley C Neef, et al.
Frontiers in Plant Science
|
June 3, 2022
Distribution of <i>Phasmarhabditis</i> (Nematode: Rhabditidae) and Their Gastropod Hosts in California Plant Nurseries and Garden Centers
Jacob Schurkman, Irma Tandingan De Ley, Kyle Anesko, et al.
Pediatric Radiology
|
September 21, 2014
Shear wave elastography helps differentiate biliary atresia from other neonatal/infantile liver diseases
Jessica R Leschied, Jonathan R Dillman, Jacob Bilhartz, et al.
Scientific Reports
|
September 16, 2020
A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants
Lili He, Hailong Li, Jinghua Wang, et al.
Pediatric Radiology
|
September 21, 2022
A self-training deep neural network for early prediction of cognitive deficits in very preterm infants using brain functional connectome data
Redha Ali, Hailong Li, Jonathan R Dillman, et al.
Frontiers in Neuroscience
|
October 22, 2021
Deep Multimodal Learning From MRI and Clinical Data for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants
Lili He, Hailong Li, Ming Chen, et al.
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of 50
Search research articles
Search
Showing results (211-220 of 492) with videos related to
Sort By:
Page
of 50
Pediatric Radiology
|
June 1, 2022
Pancreas volumes and predictive factors in healthy children
Lisa Qiu, Jonathan R Dillman, Qin Sun, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine
|
January 11, 2017
Can Contrast-Enhanced Sonography Detect Bowel Wall Fibrosis in Mixed Inflammatory and Fibrotic Crohn Disease Lesions in an Animal Model?
Jonathan R Dillman, Jonathan M Rubin, Laura A Johnson, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
March 19, 2021
MRI Measures of Murine Liver Fibrosis
Diana M Lindquist, Elizabeth M Fugate, Jiang Wang, et al.
Abdominal Radiology (New York)
|
February 17, 2023
Longitudinal changes in quantitative magnetic resonance imaging metrics in children and young adults with autoimmune liver disease
Neeraja Mahalingam, Andrew T Trout, Bin Zhang, et al.
Radiology
|
December 25, 2012
Case 189: Pediatric Ménétrier disease
Andrew T Trout, Jonathan R Dillman, Haley C Neef, et al.
Frontiers in Plant Science
|
June 3, 2022
Distribution of <i>Phasmarhabditis</i> (Nematode: Rhabditidae) and Their Gastropod Hosts in California Plant Nurseries and Garden Centers
Jacob Schurkman, Irma Tandingan De Ley, Kyle Anesko, et al.
Pediatric Radiology
|
September 21, 2014
Shear wave elastography helps differentiate biliary atresia from other neonatal/infantile liver diseases
Jessica R Leschied, Jonathan R Dillman, Jacob Bilhartz, et al.
Scientific Reports
|
September 16, 2020
A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants
Lili He, Hailong Li, Jinghua Wang, et al.
Pediatric Radiology
|
September 21, 2022
A self-training deep neural network for early prediction of cognitive deficits in very preterm infants using brain functional connectome data
Redha Ali, Hailong Li, Jonathan R Dillman, et al.
Frontiers in Neuroscience
|
October 22, 2021
Deep Multimodal Learning From MRI and Clinical Data for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants
Lili He, Hailong Li, Ming Chen, et al.
Page
of 50