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Stefano Pedemonte

Showing results (11-20 of 15) with videos related to

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Radiology. Artificial Intelligence|April 10, 2024
A Semiautonomous Deep Learning System to Reduce False Positives in Screening MammographyStefano Pedemonte, Trevor Tsue, Brent Mombourquette, et al.
European Journal of Nuclear Medicine and Molecular Imaging|July 13, 2018
Comparison of the clinical performance of upper abdominal PET/DCE-MRI with and without concurrent respiratory motion correction (MoCo)Onofrio A Catalano, Lale Umutlu, Niccolo Fuin, et al.
IEEE Transactions on Medical Imaging|July 24, 2014
Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studiesNinon Burgos, M Jorge Cardoso, Kris Thielemans, et al.
Radiology. Artificial Intelligence|May 3, 2021
A Multisite Study of a Breast Density Deep Learning Model for Full-Field Digital Mammography and Synthetic MammographyThomas P Matthews, Sadanand Singh, Brent Mombourquette, et al.
Scientific Reports|February 10, 2022
Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imagingChristopher P Bridge, Bernardo C Bizzo, James M Hillis, et al.
Pageof 2

Showing results (11-20 of 15) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 15 results.
Radiology. Artificial Intelligence|April 10, 2024
A Semiautonomous Deep Learning System to Reduce False Positives in Screening MammographyStefano Pedemonte, Trevor Tsue, Brent Mombourquette, et al.
European Journal of Nuclear Medicine and Molecular Imaging|July 13, 2018
Comparison of the clinical performance of upper abdominal PET/DCE-MRI with and without concurrent respiratory motion correction (MoCo)Onofrio A Catalano, Lale Umutlu, Niccolo Fuin, et al.
IEEE Transactions on Medical Imaging|July 24, 2014
Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studiesNinon Burgos, M Jorge Cardoso, Kris Thielemans, et al.
Radiology. Artificial Intelligence|May 3, 2021
A Multisite Study of a Breast Density Deep Learning Model for Full-Field Digital Mammography and Synthetic MammographyThomas P Matthews, Sadanand Singh, Brent Mombourquette, et al.
Scientific Reports|February 10, 2022
Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imagingChristopher P Bridge, Bernardo C Bizzo, James M Hillis, et al.
Pageof 2