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Safwan S Halabi

Showing results (11-20 of 30) with videos related to

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JMIR Medical Education|March 20, 2023
Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the SpecialtyDavid Shalom Liu, Kamil Abu-Shaban, Safwan S Halabi, et al.
Radiology. Artificial Intelligence|February 25, 2020
Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning ChallengeIan Pan, Hans Henrik Thodberg, Safwan S Halabi, et al.
Radiology|November 3, 2017
Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand RadiographsDavid B Larson, Matthew C Chen, Matthew P Lungren, et al.
Journal of Cystic Fibrosis : Official Journal of the European Cystic Fibrosis Society|May 7, 2019
Deep learning to automate Brasfield chest radiographic scoring for cystic fibrosisEvan J Zucker, Zachary A Barnes, Matthew P Lungren, et al.
Ultrasound Quarterly|March 15, 2019
Sonographic Diagnosis of Velamentous and Marginal Placental Cord InsertionBrendan P Kelley, Chad L Klochko, Sarah Atkinson, et al.
Radiology. Artificial Intelligence|May 3, 2021
Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis CompetitionsLuciano M Prevedello, Safwan S Halabi, George Shih, et al.
Journal of Imaging Informatics in Medicine|March 14, 2024
Checklist for Reproducibility of Deep Learning in Medical ImagingMana Moassefi, Yashbir Singh, Gian Marco Conte, et al.
Journal of Imaging Informatics in Medicine|October 22, 2024
Correction: Checklist for Reproducibility of Deep Learning in Medical ImagingMana Moassefi, Yashbir Singh, Gian Marco Conte, et al.
Radiology. Artificial Intelligence|March 13, 2024
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI ChallengesFelipe C Kitamura, Luciano M Prevedello, Errol Colak, et al.
Radiology|November 28, 2018
The RSNA Pediatric Bone Age Machine Learning ChallengeSafwan S Halabi, Luciano M Prevedello, Jayashree Kalpathy-Cramer, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
JMIR Medical Education|March 20, 2023
Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the SpecialtyDavid Shalom Liu, Kamil Abu-Shaban, Safwan S Halabi, et al.
Radiology. Artificial Intelligence|February 25, 2020
Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning ChallengeIan Pan, Hans Henrik Thodberg, Safwan S Halabi, et al.
Radiology|November 3, 2017
Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand RadiographsDavid B Larson, Matthew C Chen, Matthew P Lungren, et al.
Journal of Cystic Fibrosis : Official Journal of the European Cystic Fibrosis Society|May 7, 2019
Deep learning to automate Brasfield chest radiographic scoring for cystic fibrosisEvan J Zucker, Zachary A Barnes, Matthew P Lungren, et al.
Ultrasound Quarterly|March 15, 2019
Sonographic Diagnosis of Velamentous and Marginal Placental Cord InsertionBrendan P Kelley, Chad L Klochko, Sarah Atkinson, et al.
Radiology. Artificial Intelligence|May 3, 2021
Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis CompetitionsLuciano M Prevedello, Safwan S Halabi, George Shih, et al.
Journal of Imaging Informatics in Medicine|March 14, 2024
Checklist for Reproducibility of Deep Learning in Medical ImagingMana Moassefi, Yashbir Singh, Gian Marco Conte, et al.
Journal of Imaging Informatics in Medicine|October 22, 2024
Correction: Checklist for Reproducibility of Deep Learning in Medical ImagingMana Moassefi, Yashbir Singh, Gian Marco Conte, et al.
Radiology. Artificial Intelligence|March 13, 2024
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI ChallengesFelipe C Kitamura, Luciano M Prevedello, Errol Colak, et al.
Radiology|November 28, 2018
The RSNA Pediatric Bone Age Machine Learning ChallengeSafwan S Halabi, Luciano M Prevedello, Jayashree Kalpathy-Cramer, et al.
Pageof 3