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Angela Tong

Showing results (71-80 of 79) with videos related to

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Investigative Radiology|March 31, 2021
A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase StudyDavid J Winkel, Angela Tong, Bin Lou, et al.
European Radiology|July 28, 2022
A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologistsSandra Labus, Martin M Altmann, Henkjan Huisman, et al.
Radiology. Artificial Intelligence|August 21, 2024
Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI DatasetsHao Li, Han Liu, Heinrich von Busch, et al.
The Journal of Pediatrics|December 26, 2016
Antibiotic Use in Children - A Cross-National Analysis of 6 CountriesIlan Youngster, Jerry Avorn, Valeria Belleudi, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|January 16, 2023
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional techniqueLei Hu, Caixia Fu, Xinyang Song, et al.
European Radiology|January 6, 2026
Evaluating indeterminate bone lesions and lymph nodes on PSMA-PET: a multidisciplinary consensus algorithm and 1-year implementation resultsSungmin Woo, Angela Tong, Anton S Becker, et al.
Quantitative Imaging in Medicine and Surgery|March 31, 2025
Improved prostate cancer diagnosis: upgraded prostate imaging reporting and data system (PI-RADS) scores by zoomed diffusion-weighted imaging enhance deep-learning-based computer-aided diagnosis accuracyHaining Long, Lei Hu, Liming Wei, et al.
Radiology|September 17, 2024
Radiology State-of-the-art Review: Endometriosis Imaging Interpretation and ReportingWendaline VanBuren, Myra Feldman, Anuradha S Shenoy-Bhangle, et al.
Clinical Imaging|September 5, 2022
Radiologists staunchly support patient safety and autonomy, in opposition to the SCOTUS decision to overturn Roe v WadeAditya Karandikar, Agnieszka Solberg, Alice Fung, et al.
Pageof 8

Showing results (71-80 of 79) with videos related to

Sort By:
Pageof 8
You have reached the last page of results.This site can display upto 79 results.
Investigative Radiology|March 31, 2021
A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase StudyDavid J Winkel, Angela Tong, Bin Lou, et al.
European Radiology|July 28, 2022
A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologistsSandra Labus, Martin M Altmann, Henkjan Huisman, et al.
Radiology. Artificial Intelligence|August 21, 2024
Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI DatasetsHao Li, Han Liu, Heinrich von Busch, et al.
The Journal of Pediatrics|December 26, 2016
Antibiotic Use in Children - A Cross-National Analysis of 6 CountriesIlan Youngster, Jerry Avorn, Valeria Belleudi, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|January 16, 2023
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional techniqueLei Hu, Caixia Fu, Xinyang Song, et al.
European Radiology|January 6, 2026
Evaluating indeterminate bone lesions and lymph nodes on PSMA-PET: a multidisciplinary consensus algorithm and 1-year implementation resultsSungmin Woo, Angela Tong, Anton S Becker, et al.
Quantitative Imaging in Medicine and Surgery|March 31, 2025
Improved prostate cancer diagnosis: upgraded prostate imaging reporting and data system (PI-RADS) scores by zoomed diffusion-weighted imaging enhance deep-learning-based computer-aided diagnosis accuracyHaining Long, Lei Hu, Liming Wei, et al.
Radiology|September 17, 2024
Radiology State-of-the-art Review: Endometriosis Imaging Interpretation and ReportingWendaline VanBuren, Myra Feldman, Anuradha S Shenoy-Bhangle, et al.
Clinical Imaging|September 5, 2022
Radiologists staunchly support patient safety and autonomy, in opposition to the SCOTUS decision to overturn Roe v WadeAditya Karandikar, Agnieszka Solberg, Alice Fung, et al.
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