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Showing results (51-60 of 74) with videos related to

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Radiology|June 27, 2018
Current Applications and Future Impact of Machine Learning in RadiologyGarry Choy, Omid Khalilzadeh, Mark Michalski, et al.
Journal of Computer Assisted Tomography|July 17, 2015
Ultralow-Dose Abdominal Computed Tomography: Comparison of 2 Iterative Reconstruction Techniques in a Prospective Clinical StudyRanish Deedar Ali Khawaja, Sarabjeet Singh, Michael Blake, et al.
Radiology|November 13, 2019
Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest RadiographsYongsik Sim, Myung Jin Chung, Elmar Kotter, et al.
Skeletal Radiology|August 3, 2018
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variabilityShahein H Tajmir, Hyunkwang Lee, Randheer Shailam, et al.
AJR. American Journal of Roentgenology|July 26, 2013
Sinogram-affirmed iterative reconstruction of low-dose chest CT: effect on image quality and radiation doseMannudeep K Kalra, Mischa Woisetschläger, Nils Dahlström, et al.
Journal of Imaging Informatics in Medicine|October 20, 2025
Correction: ARANet: Adaptive Resolution Attention Network for Precise MRI-Based Segmentation and Quantification of Fetal Size and Amniotic Fluid VolumeAdham M Alkhadrawi, Valeria Peña-Trujillo, Sebastian Gallo-Bernal, et al.
Journal of Imaging Informatics in Medicine|June 25, 2025
ARANet: Adaptive Resolution Attention Network for Precise MRI-Based Segmentation and Quantification of Fetal Size and Amniotic Fluid VolumeAdham M Alkhadrawi, Valeria Peña-Trujillo, Sebastian Gallo-Bernal, et al.
Journal of Computer Assisted Tomography|January 16, 2014
Preliminary results: prospective clinical study to assess image-based iterative reconstruction for abdominal computed tomography acquired at 2 radiation dose levelsSarvenaz Pourjabbar, Sarabjeet Singh, Anand K Singh, et al.
Neuroimage|July 21, 2024
Differentiating loss of consciousness causes through artificial intelligence-enabled decoding of functional connectivityYoung-Tak Kim, Hayom Kim, Mingyeong So, et al.
Journal of Computer Assisted Tomography|March 22, 2014
Computed tomography (CT) of the chest at less than 1 mSv: an ongoing prospective clinical trial of chest CT at submillisievert radiation doses with iterative model image reconstruction and iDose4 techniqueRanish Deedar Ali Khawaja, Sarabjeet Singh, Matthew Gilman, et al.
Pageof 8

Showing results (51-60 of 74) with videos related to

Sort By:
Pageof 8
Radiology|June 27, 2018
Current Applications and Future Impact of Machine Learning in RadiologyGarry Choy, Omid Khalilzadeh, Mark Michalski, et al.
Journal of Computer Assisted Tomography|July 17, 2015
Ultralow-Dose Abdominal Computed Tomography: Comparison of 2 Iterative Reconstruction Techniques in a Prospective Clinical StudyRanish Deedar Ali Khawaja, Sarabjeet Singh, Michael Blake, et al.
Radiology|November 13, 2019
Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest RadiographsYongsik Sim, Myung Jin Chung, Elmar Kotter, et al.
Skeletal Radiology|August 3, 2018
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variabilityShahein H Tajmir, Hyunkwang Lee, Randheer Shailam, et al.
AJR. American Journal of Roentgenology|July 26, 2013
Sinogram-affirmed iterative reconstruction of low-dose chest CT: effect on image quality and radiation doseMannudeep K Kalra, Mischa Woisetschläger, Nils Dahlström, et al.
Journal of Imaging Informatics in Medicine|October 20, 2025
Correction: ARANet: Adaptive Resolution Attention Network for Precise MRI-Based Segmentation and Quantification of Fetal Size and Amniotic Fluid VolumeAdham M Alkhadrawi, Valeria Peña-Trujillo, Sebastian Gallo-Bernal, et al.
Journal of Imaging Informatics in Medicine|June 25, 2025
ARANet: Adaptive Resolution Attention Network for Precise MRI-Based Segmentation and Quantification of Fetal Size and Amniotic Fluid VolumeAdham M Alkhadrawi, Valeria Peña-Trujillo, Sebastian Gallo-Bernal, et al.
Journal of Computer Assisted Tomography|January 16, 2014
Preliminary results: prospective clinical study to assess image-based iterative reconstruction for abdominal computed tomography acquired at 2 radiation dose levelsSarvenaz Pourjabbar, Sarabjeet Singh, Anand K Singh, et al.
Neuroimage|July 21, 2024
Differentiating loss of consciousness causes through artificial intelligence-enabled decoding of functional connectivityYoung-Tak Kim, Hayom Kim, Mingyeong So, et al.
Journal of Computer Assisted Tomography|March 22, 2014
Computed tomography (CT) of the chest at less than 1 mSv: an ongoing prospective clinical trial of chest CT at submillisievert radiation doses with iterative model image reconstruction and iDose4 techniqueRanish Deedar Ali Khawaja, Sarabjeet Singh, Matthew Gilman, et al.
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