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Andrew S Boehringer

Showing results (1-10 of 8) with videos related to

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Insights Into Imaging|August 24, 2023
An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR imagesAndrew S Boehringer, Amirhossein Sanaat, Hossein Arabi, et al.
European Radiology|February 21, 2019
Inter-platform reproducibility of ultrasonic attenuation and backscatter coefficients in assessing NAFLDAiguo Han, Yingzhen N Zhang, Andrew S Boehringer, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|March 22, 2021
Liver Fat Assessment in Multiview Sonography Using Transfer Learning With Convolutional Neural NetworksMichal Byra, Aiguo Han, Andrew S Boehringer, et al.
European Radiology|June 6, 2018
Inter-sonographer reproducibility of quantitative ultrasound outcomes and shear wave speed measured in the right lobe of the liver in adults with known or suspected non-alcoholic fatty liver diseaseAiguo Han, Yassin Labyed, Ethan Z Sy, et al.
Radiology|February 5, 2020
Assessment of Hepatic Steatosis in Nonalcoholic Fatty Liver Disease by Using Quantitative USAiguo Han, Yingzhen N Zhang, Andrew S Boehringer, et al.
Human Brain Mapping|July 13, 2024
Newborn's neural representation of instrumental and vocal music as revealed by fMRI: A dynamic effective brain connectivity studySerafeim Loukas, Manuela Filippa, Joana Sa de Almeida, et al.
Radiology|March 29, 2022
Direct Comparison of Quantitative US versus Controlled Attenuation Parameter for Liver Fat Assessment Using MRI Proton Density Fat Fraction as the Reference Standard in Patients Suspected of Having NAFLDJinho Jung, Aiguo Han, Egbert Madamba, et al.
European Radiology|December 2, 2021
Comparative diagnostic performance of ultrasound shear wave elastography and magnetic resonance elastography for classifying fibrosis stage in adults with biopsy-proven nonalcoholic fatty liver diseaseYingzhen N Zhang, Kathryn J Fowler, Andrew S Boehringer, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Insights Into Imaging|August 24, 2023
An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR imagesAndrew S Boehringer, Amirhossein Sanaat, Hossein Arabi, et al.
European Radiology|February 21, 2019
Inter-platform reproducibility of ultrasonic attenuation and backscatter coefficients in assessing NAFLDAiguo Han, Yingzhen N Zhang, Andrew S Boehringer, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|March 22, 2021
Liver Fat Assessment in Multiview Sonography Using Transfer Learning With Convolutional Neural NetworksMichal Byra, Aiguo Han, Andrew S Boehringer, et al.
European Radiology|June 6, 2018
Inter-sonographer reproducibility of quantitative ultrasound outcomes and shear wave speed measured in the right lobe of the liver in adults with known or suspected non-alcoholic fatty liver diseaseAiguo Han, Yassin Labyed, Ethan Z Sy, et al.
Radiology|February 5, 2020
Assessment of Hepatic Steatosis in Nonalcoholic Fatty Liver Disease by Using Quantitative USAiguo Han, Yingzhen N Zhang, Andrew S Boehringer, et al.
Human Brain Mapping|July 13, 2024
Newborn's neural representation of instrumental and vocal music as revealed by fMRI: A dynamic effective brain connectivity studySerafeim Loukas, Manuela Filippa, Joana Sa de Almeida, et al.
Radiology|March 29, 2022
Direct Comparison of Quantitative US versus Controlled Attenuation Parameter for Liver Fat Assessment Using MRI Proton Density Fat Fraction as the Reference Standard in Patients Suspected of Having NAFLDJinho Jung, Aiguo Han, Egbert Madamba, et al.
European Radiology|December 2, 2021
Comparative diagnostic performance of ultrasound shear wave elastography and magnetic resonance elastography for classifying fibrosis stage in adults with biopsy-proven nonalcoholic fatty liver diseaseYingzhen N Zhang, Kathryn J Fowler, Andrew S Boehringer, et al.
Pageof 1